Add comprehensive development roadmap via GitHub Issues

Created 10 detailed GitHub issues covering:
- Project activation and management UI (#1-2)
- Worker node coordination and visualization (#3-4)
- Automated GitHub repository scanning (#5)
- Intelligent model-to-issue matching (#6)
- Multi-model task execution system (#7)
- N8N workflow integration (#8)
- Hive-Bzzz P2P bridge (#9)
- Peer assistance protocol (#10)

Each issue includes detailed specifications, acceptance criteria,
technical implementation notes, and dependency mapping.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

mcp-server/node_modules/lunr/lib/builder.js

@@ -0,0 +1,360 @@
+/*!
+ * lunr.Builder
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * lunr.Builder performs indexing on a set of documents and
+ * returns instances of lunr.Index ready for querying.
+ *
+ * All configuration of the index is done via the builder, the
+ * fields to index, the document reference, the text processing
+ * pipeline and document scoring parameters are all set on the
+ * builder before indexing.
+ *
+ * @constructor
+ * @property {string} _ref - Internal reference to the document reference field.
+ * @property {string[]} _fields - Internal reference to the document fields to index.
+ * @property {object} invertedIndex - The inverted index maps terms to document fields.
+ * @property {object} documentTermFrequencies - Keeps track of document term frequencies.
+ * @property {object} documentLengths - Keeps track of the length of documents added to the index.
+ * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.
+ * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.
+ * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.
+ * @property {number} documentCount - Keeps track of the total number of documents indexed.
+ * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.
+ * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.
+ * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.
+ * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.
+ */
+lunr.Builder = function () {
+  this._ref = "id"
+  this._fields = Object.create(null)
+  this._documents = Object.create(null)
+  this.invertedIndex = Object.create(null)
+  this.fieldTermFrequencies = {}
+  this.fieldLengths = {}
+  this.tokenizer = lunr.tokenizer
+  this.pipeline = new lunr.Pipeline
+  this.searchPipeline = new lunr.Pipeline
+  this.documentCount = 0
+  this._b = 0.75
+  this._k1 = 1.2
+  this.termIndex = 0
+  this.metadataWhitelist = []
+}
+
+/**
+ * Sets the document field used as the document reference. Every document must have this field.
+ * The type of this field in the document should be a string, if it is not a string it will be
+ * coerced into a string by calling toString.
+ *
+ * The default ref is 'id'.
+ *
+ * The ref should _not_ be changed during indexing, it should be set before any documents are
+ * added to the index. Changing it during indexing can lead to inconsistent results.
+ *
+ * @param {string} ref - The name of the reference field in the document.
+ */
+lunr.Builder.prototype.ref = function (ref) {
+  this._ref = ref
+}
+
+/**
+ * A function that is used to extract a field from a document.
+ *
+ * Lunr expects a field to be at the top level of a document, if however the field
+ * is deeply nested within a document an extractor function can be used to extract
+ * the right field for indexing.
+ *
+ * @callback fieldExtractor
+ * @param {object} doc - The document being added to the index.
+ * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.
+ * @example <caption>Extracting a nested field</caption>
+ * function (doc) { return doc.nested.field }
+ */
+
+/**
+ * Adds a field to the list of document fields that will be indexed. Every document being
+ * indexed should have this field. Null values for this field in indexed documents will
+ * not cause errors but will limit the chance of that document being retrieved by searches.
+ *
+ * All fields should be added before adding documents to the index. Adding fields after
+ * a document has been indexed will have no effect on already indexed documents.
+ *
+ * Fields can be boosted at build time. This allows terms within that field to have more
+ * importance when ranking search results. Use a field boost to specify that matches within
+ * one field are more important than other fields.
+ *
+ * @param {string} fieldName - The name of a field to index in all documents.
+ * @param {object} attributes - Optional attributes associated with this field.
+ * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.
+ * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.
+ * @throws {RangeError} fieldName cannot contain unsupported characters '/'
+ */
+lunr.Builder.prototype.field = function (fieldName, attributes) {
+  if (/\//.test(fieldName)) {
+    throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'")
+  }
+
+  this._fields[fieldName] = attributes || {}
+}
+
+/**
+ * A parameter to tune the amount of field length normalisation that is applied when
+ * calculating relevance scores. A value of 0 will completely disable any normalisation
+ * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b
+ * will be clamped to the range 0 - 1.
+ *
+ * @param {number} number - The value to set for this tuning parameter.
+ */
+lunr.Builder.prototype.b = function (number) {
+  if (number < 0) {
+    this._b = 0
+  } else if (number > 1) {
+    this._b = 1
+  } else {
+    this._b = number
+  }
+}
+
+/**
+ * A parameter that controls the speed at which a rise in term frequency results in term
+ * frequency saturation. The default value is 1.2. Setting this to a higher value will give
+ * slower saturation levels, a lower value will result in quicker saturation.
+ *
+ * @param {number} number - The value to set for this tuning parameter.
+ */
+lunr.Builder.prototype.k1 = function (number) {
+  this._k1 = number
+}
+
+/**
+ * Adds a document to the index.
+ *
+ * Before adding fields to the index the index should have been fully setup, with the document
+ * ref and all fields to index already having been specified.
+ *
+ * The document must have a field name as specified by the ref (by default this is 'id') and
+ * it should have all fields defined for indexing, though null or undefined values will not
+ * cause errors.
+ *
+ * Entire documents can be boosted at build time. Applying a boost to a document indicates that
+ * this document should rank higher in search results than other documents.
+ *
+ * @param {object} doc - The document to add to the index.
+ * @param {object} attributes - Optional attributes associated with this document.
+ * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.
+ */
+lunr.Builder.prototype.add = function (doc, attributes) {
+  var docRef = doc[this._ref],
+      fields = Object.keys(this._fields)
+
+  this._documents[docRef] = attributes || {}
+  this.documentCount += 1
+
+  for (var i = 0; i < fields.length; i++) {
+    var fieldName = fields[i],
+        extractor = this._fields[fieldName].extractor,
+        field = extractor ? extractor(doc) : doc[fieldName],
+        tokens = this.tokenizer(field, {
+          fields: [fieldName]
+        }),
+        terms = this.pipeline.run(tokens),
+        fieldRef = new lunr.FieldRef (docRef, fieldName),
+        fieldTerms = Object.create(null)
+
+    this.fieldTermFrequencies[fieldRef] = fieldTerms
+    this.fieldLengths[fieldRef] = 0
+
+    // store the length of this field for this document
+    this.fieldLengths[fieldRef] += terms.length
+
+    // calculate term frequencies for this field
+    for (var j = 0; j < terms.length; j++) {
+      var term = terms[j]
+
+      if (fieldTerms[term] == undefined) {
+        fieldTerms[term] = 0
+      }
+
+      fieldTerms[term] += 1
+
+      // add to inverted index
+      // create an initial posting if one doesn't exist
+      if (this.invertedIndex[term] == undefined) {
+        var posting = Object.create(null)
+        posting["_index"] = this.termIndex
+        this.termIndex += 1
+
+        for (var k = 0; k < fields.length; k++) {
+          posting[fields[k]] = Object.create(null)
+        }
+
+        this.invertedIndex[term] = posting
+      }
+
+      // add an entry for this term/fieldName/docRef to the invertedIndex
+      if (this.invertedIndex[term][fieldName][docRef] == undefined) {
+        this.invertedIndex[term][fieldName][docRef] = Object.create(null)
+      }
+
+      // store all whitelisted metadata about this token in the
+      // inverted index
+      for (var l = 0; l < this.metadataWhitelist.length; l++) {
+        var metadataKey = this.metadataWhitelist[l],
+            metadata = term.metadata[metadataKey]
+
+        if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {
+          this.invertedIndex[term][fieldName][docRef][metadataKey] = []
+        }
+
+        this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)
+      }
+    }
+
+  }
+}
+
+/**
+ * Calculates the average document length for this index
+ *
+ * @private
+ */
+lunr.Builder.prototype.calculateAverageFieldLengths = function () {
+
+  var fieldRefs = Object.keys(this.fieldLengths),
+      numberOfFields = fieldRefs.length,
+      accumulator = {},
+      documentsWithField = {}
+
+  for (var i = 0; i < numberOfFields; i++) {
+    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
+        field = fieldRef.fieldName
+
+    documentsWithField[field] || (documentsWithField[field] = 0)
+    documentsWithField[field] += 1
+
+    accumulator[field] || (accumulator[field] = 0)
+    accumulator[field] += this.fieldLengths[fieldRef]
+  }
+
+  var fields = Object.keys(this._fields)
+
+  for (var i = 0; i < fields.length; i++) {
+    var fieldName = fields[i]
+    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]
+  }
+
+  this.averageFieldLength = accumulator
+}
+
+/**
+ * Builds a vector space model of every document using lunr.Vector
+ *
+ * @private
+ */
+lunr.Builder.prototype.createFieldVectors = function () {
+  var fieldVectors = {},
+      fieldRefs = Object.keys(this.fieldTermFrequencies),
+      fieldRefsLength = fieldRefs.length,
+      termIdfCache = Object.create(null)
+
+  for (var i = 0; i < fieldRefsLength; i++) {
+    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
+        fieldName = fieldRef.fieldName,
+        fieldLength = this.fieldLengths[fieldRef],
+        fieldVector = new lunr.Vector,
+        termFrequencies = this.fieldTermFrequencies[fieldRef],
+        terms = Object.keys(termFrequencies),
+        termsLength = terms.length
+
+
+    var fieldBoost = this._fields[fieldName].boost || 1,
+        docBoost = this._documents[fieldRef.docRef].boost || 1
+
+    for (var j = 0; j < termsLength; j++) {
+      var term = terms[j],
+          tf = termFrequencies[term],
+          termIndex = this.invertedIndex[term]._index,
+          idf, score, scoreWithPrecision
+
+      if (termIdfCache[term] === undefined) {
+        idf = lunr.idf(this.invertedIndex[term], this.documentCount)
+        termIdfCache[term] = idf
+      } else {
+        idf = termIdfCache[term]
+      }
+
+      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)
+      score *= fieldBoost
+      score *= docBoost
+      scoreWithPrecision = Math.round(score * 1000) / 1000
+      // Converts 1.23456789 to 1.234.
+      // Reducing the precision so that the vectors take up less
+      // space when serialised. Doing it now so that they behave
+      // the same before and after serialisation. Also, this is
+      // the fastest approach to reducing a number's precision in
+      // JavaScript.
+
+      fieldVector.insert(termIndex, scoreWithPrecision)
+    }
+
+    fieldVectors[fieldRef] = fieldVector
+  }
+
+  this.fieldVectors = fieldVectors
+}
+
+/**
+ * Creates a token set of all tokens in the index using lunr.TokenSet
+ *
+ * @private
+ */
+lunr.Builder.prototype.createTokenSet = function () {
+  this.tokenSet = lunr.TokenSet.fromArray(
+    Object.keys(this.invertedIndex).sort()
+  )
+}
+
+/**
+ * Builds the index, creating an instance of lunr.Index.
+ *
+ * This completes the indexing process and should only be called
+ * once all documents have been added to the index.
+ *
+ * @returns {lunr.Index}
+ */
+lunr.Builder.prototype.build = function () {
+  this.calculateAverageFieldLengths()
+  this.createFieldVectors()
+  this.createTokenSet()
+
+  return new lunr.Index({
+    invertedIndex: this.invertedIndex,
+    fieldVectors: this.fieldVectors,
+    tokenSet: this.tokenSet,
+    fields: Object.keys(this._fields),
+    pipeline: this.searchPipeline
+  })
+}
+
+/**
+ * Applies a plugin to the index builder.
+ *
+ * A plugin is a function that is called with the index builder as its context.
+ * Plugins can be used to customise or extend the behaviour of the index
+ * in some way. A plugin is just a function, that encapsulated the custom
+ * behaviour that should be applied when building the index.
+ *
+ * The plugin function will be called with the index builder as its argument, additional
+ * arguments can also be passed when calling use. The function will be called
+ * with the index builder as its context.
+ *
+ * @param {Function} plugin The plugin to apply.
+ */
+lunr.Builder.prototype.use = function (fn) {
+  var args = Array.prototype.slice.call(arguments, 1)
+  args.unshift(this)
+  fn.apply(this, args)
+}

mcp-server/node_modules/lunr/lib/field_ref.js

@@ -0,0 +1,28 @@
+lunr.FieldRef = function (docRef, fieldName, stringValue) {
+  this.docRef = docRef
+  this.fieldName = fieldName
+  this._stringValue = stringValue
+}
+
+lunr.FieldRef.joiner = "/"
+
+lunr.FieldRef.fromString = function (s) {
+  var n = s.indexOf(lunr.FieldRef.joiner)
+
+  if (n === -1) {
+    throw "malformed field ref string"
+  }
+
+  var fieldRef = s.slice(0, n),
+      docRef = s.slice(n + 1)
+
+  return new lunr.FieldRef (docRef, fieldRef, s)
+}
+
+lunr.FieldRef.prototype.toString = function () {
+  if (this._stringValue == undefined) {
+    this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef
+  }
+
+  return this._stringValue
+}

mcp-server/node_modules/lunr/lib/idf.js

@@ -0,0 +1,21 @@
+/**
+ * A function to calculate the inverse document frequency for
+ * a posting. This is shared between the builder and the index
+ *
+ * @private
+ * @param {object} posting - The posting for a given term
+ * @param {number} documentCount - The total number of documents.
+ */
+lunr.idf = function (posting, documentCount) {
+  var documentsWithTerm = 0
+
+  for (var fieldName in posting) {
+    if (fieldName == '_index') continue // Ignore the term index, its not a field
+    documentsWithTerm += Object.keys(posting[fieldName]).length
+  }
+
+  var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)
+
+  return Math.log(1 + Math.abs(x))
+}
+

mcp-server/node_modules/lunr/lib/index.js

@@ -0,0 +1,492 @@
+/*!
+ * lunr.Index
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * An index contains the built index of all documents and provides a query interface
+ * to the index.
+ *
+ * Usually instances of lunr.Index will not be created using this constructor, instead
+ * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be
+ * used to load previously built and serialized indexes.
+ *
+ * @constructor
+ * @param {Object} attrs - The attributes of the built search index.
+ * @param {Object} attrs.invertedIndex - An index of term/field to document reference.
+ * @param {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors
+ * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.
+ * @param {string[]} attrs.fields - The names of indexed document fields.
+ * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.
+ */
+lunr.Index = function (attrs) {
+  this.invertedIndex = attrs.invertedIndex
+  this.fieldVectors = attrs.fieldVectors
+  this.tokenSet = attrs.tokenSet
+  this.fields = attrs.fields
+  this.pipeline = attrs.pipeline
+}
+
+/**
+ * A result contains details of a document matching a search query.
+ * @typedef {Object} lunr.Index~Result
+ * @property {string} ref - The reference of the document this result represents.
+ * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.
+ * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.
+ */
+
+/**
+ * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple
+ * query language which itself is parsed into an instance of lunr.Query.
+ *
+ * For programmatically building queries it is advised to directly use lunr.Query, the query language
+ * is best used for human entered text rather than program generated text.
+ *
+ * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported
+ * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'
+ * or 'world', though those that contain both will rank higher in the results.
+ *
+ * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can
+ * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding
+ * wildcards will increase the number of documents that will be found but can also have a negative
+ * impact on query performance, especially with wildcards at the beginning of a term.
+ *
+ * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term
+ * hello in the title field will match this query. Using a field not present in the index will lead
+ * to an error being thrown.
+ *
+ * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term
+ * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported
+ * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.
+ * Avoid large values for edit distance to improve query performance.
+ *
+ * Each term also supports a presence modifier. By default a term's presence in document is optional, however
+ * this can be changed to either required or prohibited. For a term's presence to be required in a document the
+ * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and
+ * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not
+ * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.
+ *
+ * To escape special characters the backslash character '\' can be used, this allows searches to include
+ * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead
+ * of attempting to apply a boost of 2 to the search term "foo".
+ *
+ * @typedef {string} lunr.Index~QueryString
+ * @example <caption>Simple single term query</caption>
+ * hello
+ * @example <caption>Multiple term query</caption>
+ * hello world
+ * @example <caption>term scoped to a field</caption>
+ * title:hello
+ * @example <caption>term with a boost of 10</caption>
+ * hello^10
+ * @example <caption>term with an edit distance of 2</caption>
+ * hello~2
+ * @example <caption>terms with presence modifiers</caption>
+ * -foo +bar baz
+ */
+
+/**
+ * Performs a search against the index using lunr query syntax.
+ *
+ * Results will be returned sorted by their score, the most relevant results
+ * will be returned first.  For details on how the score is calculated, please see
+ * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.
+ *
+ * For more programmatic querying use lunr.Index#query.
+ *
+ * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.
+ * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.
+ * @returns {lunr.Index~Result[]}
+ */
+lunr.Index.prototype.search = function (queryString) {
+  return this.query(function (query) {
+    var parser = new lunr.QueryParser(queryString, query)
+    parser.parse()
+  })
+}
+
+/**
+ * A query builder callback provides a query object to be used to express
+ * the query to perform on the index.
+ *
+ * @callback lunr.Index~queryBuilder
+ * @param {lunr.Query} query - The query object to build up.
+ * @this lunr.Query
+ */
+
+/**
+ * Performs a query against the index using the yielded lunr.Query object.
+ *
+ * If performing programmatic queries against the index, this method is preferred
+ * over lunr.Index#search so as to avoid the additional query parsing overhead.
+ *
+ * A query object is yielded to the supplied function which should be used to
+ * express the query to be run against the index.
+ *
+ * Note that although this function takes a callback parameter it is _not_ an
+ * asynchronous operation, the callback is just yielded a query object to be
+ * customized.
+ *
+ * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.
+ * @returns {lunr.Index~Result[]}
+ */
+lunr.Index.prototype.query = function (fn) {
+  // for each query clause
+  // * process terms
+  // * expand terms from token set
+  // * find matching documents and metadata
+  // * get document vectors
+  // * score documents
+
+  var query = new lunr.Query(this.fields),
+      matchingFields = Object.create(null),
+      queryVectors = Object.create(null),
+      termFieldCache = Object.create(null),
+      requiredMatches = Object.create(null),
+      prohibitedMatches = Object.create(null)
+
+  /*
+   * To support field level boosts a query vector is created per
+   * field. An empty vector is eagerly created to support negated
+   * queries.
+   */
+  for (var i = 0; i < this.fields.length; i++) {
+    queryVectors[this.fields[i]] = new lunr.Vector
+  }
+
+  fn.call(query, query)
+
+  for (var i = 0; i < query.clauses.length; i++) {
+    /*
+     * Unless the pipeline has been disabled for this term, which is
+     * the case for terms with wildcards, we need to pass the clause
+     * term through the search pipeline. A pipeline returns an array
+     * of processed terms. Pipeline functions may expand the passed
+     * term, which means we may end up performing multiple index lookups
+     * for a single query term.
+     */
+    var clause = query.clauses[i],
+        terms = null,
+        clauseMatches = lunr.Set.empty
+
+    if (clause.usePipeline) {
+      terms = this.pipeline.runString(clause.term, {
+        fields: clause.fields
+      })
+    } else {
+      terms = [clause.term]
+    }
+
+    for (var m = 0; m < terms.length; m++) {
+      var term = terms[m]
+
+      /*
+       * Each term returned from the pipeline needs to use the same query
+       * clause object, e.g. the same boost and or edit distance. The
+       * simplest way to do this is to re-use the clause object but mutate
+       * its term property.
+       */
+      clause.term = term
+
+      /*
+       * From the term in the clause we create a token set which will then
+       * be used to intersect the indexes token set to get a list of terms
+       * to lookup in the inverted index
+       */
+      var termTokenSet = lunr.TokenSet.fromClause(clause),
+          expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()
+
+      /*
+       * If a term marked as required does not exist in the tokenSet it is
+       * impossible for the search to return any matches. We set all the field
+       * scoped required matches set to empty and stop examining any further
+       * clauses.
+       */
+      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {
+        for (var k = 0; k < clause.fields.length; k++) {
+          var field = clause.fields[k]
+          requiredMatches[field] = lunr.Set.empty
+        }
+
+        break
+      }
+
+      for (var j = 0; j < expandedTerms.length; j++) {
+        /*
+         * For each term get the posting and termIndex, this is required for
+         * building the query vector.
+         */
+        var expandedTerm = expandedTerms[j],
+            posting = this.invertedIndex[expandedTerm],
+            termIndex = posting._index
+
+        for (var k = 0; k < clause.fields.length; k++) {
+          /*
+           * For each field that this query term is scoped by (by default
+           * all fields are in scope) we need to get all the document refs
+           * that have this term in that field.
+           *
+           * The posting is the entry in the invertedIndex for the matching
+           * term from above.
+           */
+          var field = clause.fields[k],
+              fieldPosting = posting[field],
+              matchingDocumentRefs = Object.keys(fieldPosting),
+              termField = expandedTerm + "/" + field,
+              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)
+
+          /*
+           * if the presence of this term is required ensure that the matching
+           * documents are added to the set of required matches for this clause.
+           *
+           */
+          if (clause.presence == lunr.Query.presence.REQUIRED) {
+            clauseMatches = clauseMatches.union(matchingDocumentsSet)
+
+            if (requiredMatches[field] === undefined) {
+              requiredMatches[field] = lunr.Set.complete
+            }
+          }
+
+          /*
+           * if the presence of this term is prohibited ensure that the matching
+           * documents are added to the set of prohibited matches for this field,
+           * creating that set if it does not yet exist.
+           */
+          if (clause.presence == lunr.Query.presence.PROHIBITED) {
+            if (prohibitedMatches[field] === undefined) {
+              prohibitedMatches[field] = lunr.Set.empty
+            }
+
+            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)
+
+            /*
+             * Prohibited matches should not be part of the query vector used for
+             * similarity scoring and no metadata should be extracted so we continue
+             * to the next field
+             */
+            continue
+          }
+
+          /*
+           * The query field vector is populated using the termIndex found for
+           * the term and a unit value with the appropriate boost applied.
+           * Using upsert because there could already be an entry in the vector
+           * for the term we are working with. In that case we just add the scores
+           * together.
+           */
+          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })
+
+          /**
+           * If we've already seen this term, field combo then we've already collected
+           * the matching documents and metadata, no need to go through all that again
+           */
+          if (termFieldCache[termField]) {
+            continue
+          }
+
+          for (var l = 0; l < matchingDocumentRefs.length; l++) {
+            /*
+             * All metadata for this term/field/document triple
+             * are then extracted and collected into an instance
+             * of lunr.MatchData ready to be returned in the query
+             * results
+             */
+            var matchingDocumentRef = matchingDocumentRefs[l],
+                matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),
+                metadata = fieldPosting[matchingDocumentRef],
+                fieldMatch
+
+            if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {
+              matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)
+            } else {
+              fieldMatch.add(expandedTerm, field, metadata)
+            }
+
+          }
+
+          termFieldCache[termField] = true
+        }
+      }
+    }
+
+    /**
+     * If the presence was required we need to update the requiredMatches field sets.
+     * We do this after all fields for the term have collected their matches because
+     * the clause terms presence is required in _any_ of the fields not _all_ of the
+     * fields.
+     */
+    if (clause.presence === lunr.Query.presence.REQUIRED) {
+      for (var k = 0; k < clause.fields.length; k++) {
+        var field = clause.fields[k]
+        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)
+      }
+    }
+  }
+
+  /**
+   * Need to combine the field scoped required and prohibited
+   * matching documents into a global set of required and prohibited
+   * matches
+   */
+  var allRequiredMatches = lunr.Set.complete,
+      allProhibitedMatches = lunr.Set.empty
+
+  for (var i = 0; i < this.fields.length; i++) {
+    var field = this.fields[i]
+
+    if (requiredMatches[field]) {
+      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])
+    }
+
+    if (prohibitedMatches[field]) {
+      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])
+    }
+  }
+
+  var matchingFieldRefs = Object.keys(matchingFields),
+      results = [],
+      matches = Object.create(null)
+
+  /*
+   * If the query is negated (contains only prohibited terms)
+   * we need to get _all_ fieldRefs currently existing in the
+   * index. This is only done when we know that the query is
+   * entirely prohibited terms to avoid any cost of getting all
+   * fieldRefs unnecessarily.
+   *
+   * Additionally, blank MatchData must be created to correctly
+   * populate the results.
+   */
+  if (query.isNegated()) {
+    matchingFieldRefs = Object.keys(this.fieldVectors)
+
+    for (var i = 0; i < matchingFieldRefs.length; i++) {
+      var matchingFieldRef = matchingFieldRefs[i]
+      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)
+      matchingFields[matchingFieldRef] = new lunr.MatchData
+    }
+  }
+
+  for (var i = 0; i < matchingFieldRefs.length; i++) {
+    /*
+     * Currently we have document fields that match the query, but we
+     * need to return documents. The matchData and scores are combined
+     * from multiple fields belonging to the same document.
+     *
+     * Scores are calculated by field, using the query vectors created
+     * above, and combined into a final document score using addition.
+     */
+    var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
+        docRef = fieldRef.docRef
+
+    if (!allRequiredMatches.contains(docRef)) {
+      continue
+    }
+
+    if (allProhibitedMatches.contains(docRef)) {
+      continue
+    }
+
+    var fieldVector = this.fieldVectors[fieldRef],
+        score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
+        docMatch
+
+    if ((docMatch = matches[docRef]) !== undefined) {
+      docMatch.score += score
+      docMatch.matchData.combine(matchingFields[fieldRef])
+    } else {
+      var match = {
+        ref: docRef,
+        score: score,
+        matchData: matchingFields[fieldRef]
+      }
+      matches[docRef] = match
+      results.push(match)
+    }
+  }
+
+  /*
+   * Sort the results objects by score, highest first.
+   */
+  return results.sort(function (a, b) {
+    return b.score - a.score
+  })
+}
+
+/**
+ * Prepares the index for JSON serialization.
+ *
+ * The schema for this JSON blob will be described in a
+ * separate JSON schema file.
+ *
+ * @returns {Object}
+ */
+lunr.Index.prototype.toJSON = function () {
+  var invertedIndex = Object.keys(this.invertedIndex)
+    .sort()
+    .map(function (term) {
+      return [term, this.invertedIndex[term]]
+    }, this)
+
+  var fieldVectors = Object.keys(this.fieldVectors)
+    .map(function (ref) {
+      return [ref, this.fieldVectors[ref].toJSON()]
+    }, this)
+
+  return {
+    version: lunr.version,
+    fields: this.fields,
+    fieldVectors: fieldVectors,
+    invertedIndex: invertedIndex,
+    pipeline: this.pipeline.toJSON()
+  }
+}
+
+/**
+ * Loads a previously serialized lunr.Index
+ *
+ * @param {Object} serializedIndex - A previously serialized lunr.Index
+ * @returns {lunr.Index}
+ */
+lunr.Index.load = function (serializedIndex) {
+  var attrs = {},
+      fieldVectors = {},
+      serializedVectors = serializedIndex.fieldVectors,
+      invertedIndex = Object.create(null),
+      serializedInvertedIndex = serializedIndex.invertedIndex,
+      tokenSetBuilder = new lunr.TokenSet.Builder,
+      pipeline = lunr.Pipeline.load(serializedIndex.pipeline)
+
+  if (serializedIndex.version != lunr.version) {
+    lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'")
+  }
+
+  for (var i = 0; i < serializedVectors.length; i++) {
+    var tuple = serializedVectors[i],
+        ref = tuple[0],
+        elements = tuple[1]
+
+    fieldVectors[ref] = new lunr.Vector(elements)
+  }
+
+  for (var i = 0; i < serializedInvertedIndex.length; i++) {
+    var tuple = serializedInvertedIndex[i],
+        term = tuple[0],
+        posting = tuple[1]
+
+    tokenSetBuilder.insert(term)
+    invertedIndex[term] = posting
+  }
+
+  tokenSetBuilder.finish()
+
+  attrs.fields = serializedIndex.fields
+
+  attrs.fieldVectors = fieldVectors
+  attrs.invertedIndex = invertedIndex
+  attrs.tokenSet = tokenSetBuilder.root
+  attrs.pipeline = pipeline
+
+  return new lunr.Index(attrs)
+}

mcp-server/node_modules/lunr/lib/lunr.js

@@ -0,0 +1,49 @@
+/**
+ * A convenience function for configuring and constructing
+ * a new lunr Index.
+ *
+ * A lunr.Builder instance is created and the pipeline setup
+ * with a trimmer, stop word filter and stemmer.
+ *
+ * This builder object is yielded to the configuration function
+ * that is passed as a parameter, allowing the list of fields
+ * and other builder parameters to be customised.
+ *
+ * All documents _must_ be added within the passed config function.
+ *
+ * @example
+ * var idx = lunr(function () {
+ *   this.field('title')
+ *   this.field('body')
+ *   this.ref('id')
+ *
+ *   documents.forEach(function (doc) {
+ *     this.add(doc)
+ *   }, this)
+ * })
+ *
+ * @see {@link lunr.Builder}
+ * @see {@link lunr.Pipeline}
+ * @see {@link lunr.trimmer}
+ * @see {@link lunr.stopWordFilter}
+ * @see {@link lunr.stemmer}
+ * @namespace {function} lunr
+ */
+var lunr = function (config) {
+  var builder = new lunr.Builder
+
+  builder.pipeline.add(
+    lunr.trimmer,
+    lunr.stopWordFilter,
+    lunr.stemmer
+  )
+
+  builder.searchPipeline.add(
+    lunr.stemmer
+  )
+
+  config.call(builder, builder)
+  return builder.build()
+}
+
+lunr.version = "@VERSION"

mcp-server/node_modules/lunr/lib/match_data.js

@@ -0,0 +1,107 @@
+/**
+ * Contains and collects metadata about a matching document.
+ * A single instance of lunr.MatchData is returned as part of every
+ * lunr.Index~Result.
+ *
+ * @constructor
+ * @param {string} term - The term this match data is associated with
+ * @param {string} field - The field in which the term was found
+ * @param {object} metadata - The metadata recorded about this term in this field
+ * @property {object} metadata - A cloned collection of metadata associated with this document.
+ * @see {@link lunr.Index~Result}
+ */
+lunr.MatchData = function (term, field, metadata) {
+  var clonedMetadata = Object.create(null),
+      metadataKeys = Object.keys(metadata || {})
+
+  // Cloning the metadata to prevent the original
+  // being mutated during match data combination.
+  // Metadata is kept in an array within the inverted
+  // index so cloning the data can be done with
+  // Array#slice
+  for (var i = 0; i < metadataKeys.length; i++) {
+    var key = metadataKeys[i]
+    clonedMetadata[key] = metadata[key].slice()
+  }
+
+  this.metadata = Object.create(null)
+
+  if (term !== undefined) {
+    this.metadata[term] = Object.create(null)
+    this.metadata[term][field] = clonedMetadata
+  }
+}
+
+/**
+ * An instance of lunr.MatchData will be created for every term that matches a
+ * document. However only one instance is required in a lunr.Index~Result. This
+ * method combines metadata from another instance of lunr.MatchData with this
+ * objects metadata.
+ *
+ * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.
+ * @see {@link lunr.Index~Result}
+ */
+lunr.MatchData.prototype.combine = function (otherMatchData) {
+  var terms = Object.keys(otherMatchData.metadata)
+
+  for (var i = 0; i < terms.length; i++) {
+    var term = terms[i],
+        fields = Object.keys(otherMatchData.metadata[term])
+
+    if (this.metadata[term] == undefined) {
+      this.metadata[term] = Object.create(null)
+    }
+
+    for (var j = 0; j < fields.length; j++) {
+      var field = fields[j],
+          keys = Object.keys(otherMatchData.metadata[term][field])
+
+      if (this.metadata[term][field] == undefined) {
+        this.metadata[term][field] = Object.create(null)
+      }
+
+      for (var k = 0; k < keys.length; k++) {
+        var key = keys[k]
+
+        if (this.metadata[term][field][key] == undefined) {
+          this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]
+        } else {
+          this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])
+        }
+
+      }
+    }
+  }
+}
+
+/**
+ * Add metadata for a term/field pair to this instance of match data.
+ *
+ * @param {string} term - The term this match data is associated with
+ * @param {string} field - The field in which the term was found
+ * @param {object} metadata - The metadata recorded about this term in this field
+ */
+lunr.MatchData.prototype.add = function (term, field, metadata) {
+  if (!(term in this.metadata)) {
+    this.metadata[term] = Object.create(null)
+    this.metadata[term][field] = metadata
+    return
+  }
+
+  if (!(field in this.metadata[term])) {
+    this.metadata[term][field] = metadata
+    return
+  }
+
+  var metadataKeys = Object.keys(metadata)
+
+  for (var i = 0; i < metadataKeys.length; i++) {
+    var key = metadataKeys[i]
+
+    if (key in this.metadata[term][field]) {
+      this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])
+    } else {
+      this.metadata[term][field][key] = metadata[key]
+    }
+  }
+}

mcp-server/node_modules/lunr/lib/pipeline.js

@@ -0,0 +1,267 @@
+/*!
+ * lunr.Pipeline
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * lunr.Pipelines maintain an ordered list of functions to be applied to all
+ * tokens in documents entering the search index and queries being ran against
+ * the index.
+ *
+ * An instance of lunr.Index created with the lunr shortcut will contain a
+ * pipeline with a stop word filter and an English language stemmer. Extra
+ * functions can be added before or after either of these functions or these
+ * default functions can be removed.
+ *
+ * When run the pipeline will call each function in turn, passing a token, the
+ * index of that token in the original list of all tokens and finally a list of
+ * all the original tokens.
+ *
+ * The output of functions in the pipeline will be passed to the next function
+ * in the pipeline. To exclude a token from entering the index the function
+ * should return undefined, the rest of the pipeline will not be called with
+ * this token.
+ *
+ * For serialisation of pipelines to work, all functions used in an instance of
+ * a pipeline should be registered with lunr.Pipeline. Registered functions can
+ * then be loaded. If trying to load a serialised pipeline that uses functions
+ * that are not registered an error will be thrown.
+ *
+ * If not planning on serialising the pipeline then registering pipeline functions
+ * is not necessary.
+ *
+ * @constructor
+ */
+lunr.Pipeline = function () {
+  this._stack = []
+}
+
+lunr.Pipeline.registeredFunctions = Object.create(null)
+
+/**
+ * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token
+ * string as well as all known metadata. A pipeline function can mutate the token string
+ * or mutate (or add) metadata for a given token.
+ *
+ * A pipeline function can indicate that the passed token should be discarded by returning
+ * null, undefined or an empty string. This token will not be passed to any downstream pipeline
+ * functions and will not be added to the index.
+ *
+ * Multiple tokens can be returned by returning an array of tokens. Each token will be passed
+ * to any downstream pipeline functions and all will returned tokens will be added to the index.
+ *
+ * Any number of pipeline functions may be chained together using a lunr.Pipeline.
+ *
+ * @interface lunr.PipelineFunction
+ * @param {lunr.Token} token - A token from the document being processed.
+ * @param {number} i - The index of this token in the complete list of tokens for this document/field.
+ * @param {lunr.Token[]} tokens - All tokens for this document/field.
+ * @returns {(?lunr.Token|lunr.Token[])}
+ */
+
+/**
+ * Register a function with the pipeline.
+ *
+ * Functions that are used in the pipeline should be registered if the pipeline
+ * needs to be serialised, or a serialised pipeline needs to be loaded.
+ *
+ * Registering a function does not add it to a pipeline, functions must still be
+ * added to instances of the pipeline for them to be used when running a pipeline.
+ *
+ * @param {lunr.PipelineFunction} fn - The function to check for.
+ * @param {String} label - The label to register this function with
+ */
+lunr.Pipeline.registerFunction = function (fn, label) {
+  if (label in this.registeredFunctions) {
+    lunr.utils.warn('Overwriting existing registered function: ' + label)
+  }
+
+  fn.label = label
+  lunr.Pipeline.registeredFunctions[fn.label] = fn
+}
+
+/**
+ * Warns if the function is not registered as a Pipeline function.
+ *
+ * @param {lunr.PipelineFunction} fn - The function to check for.
+ * @private
+ */
+lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {
+  var isRegistered = fn.label && (fn.label in this.registeredFunctions)
+
+  if (!isRegistered) {
+    lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn)
+  }
+}
+
+/**
+ * Loads a previously serialised pipeline.
+ *
+ * All functions to be loaded must already be registered with lunr.Pipeline.
+ * If any function from the serialised data has not been registered then an
+ * error will be thrown.
+ *
+ * @param {Object} serialised - The serialised pipeline to load.
+ * @returns {lunr.Pipeline}
+ */
+lunr.Pipeline.load = function (serialised) {
+  var pipeline = new lunr.Pipeline
+
+  serialised.forEach(function (fnName) {
+    var fn = lunr.Pipeline.registeredFunctions[fnName]
+
+    if (fn) {
+      pipeline.add(fn)
+    } else {
+      throw new Error('Cannot load unregistered function: ' + fnName)
+    }
+  })
+
+  return pipeline
+}
+
+/**
+ * Adds new functions to the end of the pipeline.
+ *
+ * Logs a warning if the function has not been registered.
+ *
+ * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.
+ */
+lunr.Pipeline.prototype.add = function () {
+  var fns = Array.prototype.slice.call(arguments)
+
+  fns.forEach(function (fn) {
+    lunr.Pipeline.warnIfFunctionNotRegistered(fn)
+    this._stack.push(fn)
+  }, this)
+}
+
+/**
+ * Adds a single function after a function that already exists in the
+ * pipeline.
+ *
+ * Logs a warning if the function has not been registered.
+ *
+ * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.
+ * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.
+ */
+lunr.Pipeline.prototype.after = function (existingFn, newFn) {
+  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)
+
+  var pos = this._stack.indexOf(existingFn)
+  if (pos == -1) {
+    throw new Error('Cannot find existingFn')
+  }
+
+  pos = pos + 1
+  this._stack.splice(pos, 0, newFn)
+}
+
+/**
+ * Adds a single function before a function that already exists in the
+ * pipeline.
+ *
+ * Logs a warning if the function has not been registered.
+ *
+ * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.
+ * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.
+ */
+lunr.Pipeline.prototype.before = function (existingFn, newFn) {
+  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)
+
+  var pos = this._stack.indexOf(existingFn)
+  if (pos == -1) {
+    throw new Error('Cannot find existingFn')
+  }
+
+  this._stack.splice(pos, 0, newFn)
+}
+
+/**
+ * Removes a function from the pipeline.
+ *
+ * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.
+ */
+lunr.Pipeline.prototype.remove = function (fn) {
+  var pos = this._stack.indexOf(fn)
+  if (pos == -1) {
+    return
+  }
+
+  this._stack.splice(pos, 1)
+}
+
+/**
+ * Runs the current list of functions that make up the pipeline against the
+ * passed tokens.
+ *
+ * @param {Array} tokens The tokens to run through the pipeline.
+ * @returns {Array}
+ */
+lunr.Pipeline.prototype.run = function (tokens) {
+  var stackLength = this._stack.length
+
+  for (var i = 0; i < stackLength; i++) {
+    var fn = this._stack[i]
+    var memo = []
+
+    for (var j = 0; j < tokens.length; j++) {
+      var result = fn(tokens[j], j, tokens)
+
+      if (result === null || result === void 0 || result === '') continue
+
+      if (Array.isArray(result)) {
+        for (var k = 0; k < result.length; k++) {
+          memo.push(result[k])
+        }
+      } else {
+        memo.push(result)
+      }
+    }
+
+    tokens = memo
+  }
+
+  return tokens
+}
+
+/**
+ * Convenience method for passing a string through a pipeline and getting
+ * strings out. This method takes care of wrapping the passed string in a
+ * token and mapping the resulting tokens back to strings.
+ *
+ * @param {string} str - The string to pass through the pipeline.
+ * @param {?object} metadata - Optional metadata to associate with the token
+ * passed to the pipeline.
+ * @returns {string[]}
+ */
+lunr.Pipeline.prototype.runString = function (str, metadata) {
+  var token = new lunr.Token (str, metadata)
+
+  return this.run([token]).map(function (t) {
+    return t.toString()
+  })
+}
+
+/**
+ * Resets the pipeline by removing any existing processors.
+ *
+ */
+lunr.Pipeline.prototype.reset = function () {
+  this._stack = []
+}
+
+/**
+ * Returns a representation of the pipeline ready for serialisation.
+ *
+ * Logs a warning if the function has not been registered.
+ *
+ * @returns {Array}
+ */
+lunr.Pipeline.prototype.toJSON = function () {
+  return this._stack.map(function (fn) {
+    lunr.Pipeline.warnIfFunctionNotRegistered(fn)
+
+    return fn.label
+  })
+}

mcp-server/node_modules/lunr/lib/query.js

@@ -0,0 +1,188 @@
+/**
+ * A lunr.Query provides a programmatic way of defining queries to be performed
+ * against a {@link lunr.Index}.
+ *
+ * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method
+ * so the query object is pre-initialized with the right index fields.
+ *
+ * @constructor
+ * @property {lunr.Query~Clause[]} clauses - An array of query clauses.
+ * @property {string[]} allFields - An array of all available fields in a lunr.Index.
+ */
+lunr.Query = function (allFields) {
+  this.clauses = []
+  this.allFields = allFields
+}
+
+/**
+ * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.
+ *
+ * This allows wildcards to be added to the beginning and end of a term without having to manually do any string
+ * concatenation.
+ *
+ * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.
+ *
+ * @constant
+ * @default
+ * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour
+ * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists
+ * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists
+ * @see lunr.Query~Clause
+ * @see lunr.Query#clause
+ * @see lunr.Query#term
+ * @example <caption>query term with trailing wildcard</caption>
+ * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })
+ * @example <caption>query term with leading and trailing wildcard</caption>
+ * query.term('foo', {
+ *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING
+ * })
+ */
+
+lunr.Query.wildcard = new String ("*")
+lunr.Query.wildcard.NONE = 0
+lunr.Query.wildcard.LEADING = 1
+lunr.Query.wildcard.TRAILING = 2
+
+/**
+ * Constants for indicating what kind of presence a term must have in matching documents.
+ *
+ * @constant
+ * @enum {number}
+ * @see lunr.Query~Clause
+ * @see lunr.Query#clause
+ * @see lunr.Query#term
+ * @example <caption>query term with required presence</caption>
+ * query.term('foo', { presence: lunr.Query.presence.REQUIRED })
+ */
+lunr.Query.presence = {
+  /**
+   * Term's presence in a document is optional, this is the default value.
+   */
+  OPTIONAL: 1,
+
+  /**
+   * Term's presence in a document is required, documents that do not contain
+   * this term will not be returned.
+   */
+  REQUIRED: 2,
+
+  /**
+   * Term's presence in a document is prohibited, documents that do contain
+   * this term will not be returned.
+   */
+  PROHIBITED: 3
+}
+
+/**
+ * A single clause in a {@link lunr.Query} contains a term and details on how to
+ * match that term against a {@link lunr.Index}.
+ *
+ * @typedef {Object} lunr.Query~Clause
+ * @property {string[]} fields - The fields in an index this clause should be matched against.
+ * @property {number} [boost=1] - Any boost that should be applied when matching this clause.
+ * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.
+ * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.
+ * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.
+ * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.
+ */
+
+/**
+ * Adds a {@link lunr.Query~Clause} to this query.
+ *
+ * Unless the clause contains the fields to be matched all fields will be matched. In addition
+ * a default boost of 1 is applied to the clause.
+ *
+ * @param {lunr.Query~Clause} clause - The clause to add to this query.
+ * @see lunr.Query~Clause
+ * @returns {lunr.Query}
+ */
+lunr.Query.prototype.clause = function (clause) {
+  if (!('fields' in clause)) {
+    clause.fields = this.allFields
+  }
+
+  if (!('boost' in clause)) {
+    clause.boost = 1
+  }
+
+  if (!('usePipeline' in clause)) {
+    clause.usePipeline = true
+  }
+
+  if (!('wildcard' in clause)) {
+    clause.wildcard = lunr.Query.wildcard.NONE
+  }
+
+  if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {
+    clause.term = "*" + clause.term
+  }
+
+  if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {
+    clause.term = "" + clause.term + "*"
+  }
+
+  if (!('presence' in clause)) {
+    clause.presence = lunr.Query.presence.OPTIONAL
+  }
+
+  this.clauses.push(clause)
+
+  return this
+}
+
+/**
+ * A negated query is one in which every clause has a presence of
+ * prohibited. These queries require some special processing to return
+ * the expected results.
+ *
+ * @returns boolean
+ */
+lunr.Query.prototype.isNegated = function () {
+  for (var i = 0; i < this.clauses.length; i++) {
+    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {
+      return false
+    }
+  }
+
+  return true
+}
+
+/**
+ * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}
+ * to the list of clauses that make up this query.
+ *
+ * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion
+ * to a token or token-like string should be done before calling this method.
+ *
+ * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an
+ * array, each term in the array will share the same options.
+ *
+ * @param {object|object[]} term - The term(s) to add to the query.
+ * @param {object} [options] - Any additional properties to add to the query clause.
+ * @returns {lunr.Query}
+ * @see lunr.Query#clause
+ * @see lunr.Query~Clause
+ * @example <caption>adding a single term to a query</caption>
+ * query.term("foo")
+ * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>
+ * query.term("foo", {
+ *   fields: ["title"],
+ *   boost: 10,
+ *   wildcard: lunr.Query.wildcard.TRAILING
+ * })
+ * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>
+ * query.term(lunr.tokenizer("foo bar"))
+ */
+lunr.Query.prototype.term = function (term, options) {
+  if (Array.isArray(term)) {
+    term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)
+    return this
+  }
+
+  var clause = options || {}
+  clause.term = term.toString()
+
+  this.clause(clause)
+
+  return this
+}

mcp-server/node_modules/lunr/lib/query_lexer.js

@@ -0,0 +1,209 @@
+lunr.QueryLexer = function (str) {
+  this.lexemes = []
+  this.str = str
+  this.length = str.length
+  this.pos = 0
+  this.start = 0
+  this.escapeCharPositions = []
+}
+
+lunr.QueryLexer.prototype.run = function () {
+  var state = lunr.QueryLexer.lexText
+
+  while (state) {
+    state = state(this)
+  }
+}
+
+lunr.QueryLexer.prototype.sliceString = function () {
+  var subSlices = [],
+      sliceStart = this.start,
+      sliceEnd = this.pos
+
+  for (var i = 0; i < this.escapeCharPositions.length; i++) {
+    sliceEnd = this.escapeCharPositions[i]
+    subSlices.push(this.str.slice(sliceStart, sliceEnd))
+    sliceStart = sliceEnd + 1
+  }
+
+  subSlices.push(this.str.slice(sliceStart, this.pos))
+  this.escapeCharPositions.length = 0
+
+  return subSlices.join('')
+}
+
+lunr.QueryLexer.prototype.emit = function (type) {
+  this.lexemes.push({
+    type: type,
+    str: this.sliceString(),
+    start: this.start,
+    end: this.pos
+  })
+
+  this.start = this.pos
+}
+
+lunr.QueryLexer.prototype.escapeCharacter = function () {
+  this.escapeCharPositions.push(this.pos - 1)
+  this.pos += 1
+}
+
+lunr.QueryLexer.prototype.next = function () {
+  if (this.pos >= this.length) {
+    return lunr.QueryLexer.EOS
+  }
+
+  var char = this.str.charAt(this.pos)
+  this.pos += 1
+  return char
+}
+
+lunr.QueryLexer.prototype.width = function () {
+  return this.pos - this.start
+}
+
+lunr.QueryLexer.prototype.ignore = function () {
+  if (this.start == this.pos) {
+    this.pos += 1
+  }
+
+  this.start = this.pos
+}
+
+lunr.QueryLexer.prototype.backup = function () {
+  this.pos -= 1
+}
+
+lunr.QueryLexer.prototype.acceptDigitRun = function () {
+  var char, charCode
+
+  do {
+    char = this.next()
+    charCode = char.charCodeAt(0)
+  } while (charCode > 47 && charCode < 58)
+
+  if (char != lunr.QueryLexer.EOS) {
+    this.backup()
+  }
+}
+
+lunr.QueryLexer.prototype.more = function () {
+  return this.pos < this.length
+}
+
+lunr.QueryLexer.EOS = 'EOS'
+lunr.QueryLexer.FIELD = 'FIELD'
+lunr.QueryLexer.TERM = 'TERM'
+lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'
+lunr.QueryLexer.BOOST = 'BOOST'
+lunr.QueryLexer.PRESENCE = 'PRESENCE'
+
+lunr.QueryLexer.lexField = function (lexer) {
+  lexer.backup()
+  lexer.emit(lunr.QueryLexer.FIELD)
+  lexer.ignore()
+  return lunr.QueryLexer.lexText
+}
+
+lunr.QueryLexer.lexTerm = function (lexer) {
+  if (lexer.width() > 1) {
+    lexer.backup()
+    lexer.emit(lunr.QueryLexer.TERM)
+  }
+
+  lexer.ignore()
+
+  if (lexer.more()) {
+    return lunr.QueryLexer.lexText
+  }
+}
+
+lunr.QueryLexer.lexEditDistance = function (lexer) {
+  lexer.ignore()
+  lexer.acceptDigitRun()
+  lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)
+  return lunr.QueryLexer.lexText
+}
+
+lunr.QueryLexer.lexBoost = function (lexer) {
+  lexer.ignore()
+  lexer.acceptDigitRun()
+  lexer.emit(lunr.QueryLexer.BOOST)
+  return lunr.QueryLexer.lexText
+}
+
+lunr.QueryLexer.lexEOS = function (lexer) {
+  if (lexer.width() > 0) {
+    lexer.emit(lunr.QueryLexer.TERM)
+  }
+}
+
+// This matches the separator used when tokenising fields
+// within a document. These should match otherwise it is
+// not possible to search for some tokens within a document.
+//
+// It is possible for the user to change the separator on the
+// tokenizer so it _might_ clash with any other of the special
+// characters already used within the search string, e.g. :.
+//
+// This means that it is possible to change the separator in
+// such a way that makes some words unsearchable using a search
+// string.
+lunr.QueryLexer.termSeparator = lunr.tokenizer.separator
+
+lunr.QueryLexer.lexText = function (lexer) {
+  while (true) {
+    var char = lexer.next()
+
+    if (char == lunr.QueryLexer.EOS) {
+      return lunr.QueryLexer.lexEOS
+    }
+
+    // Escape character is '\'
+    if (char.charCodeAt(0) == 92) {
+      lexer.escapeCharacter()
+      continue
+    }
+
+    if (char == ":") {
+      return lunr.QueryLexer.lexField
+    }
+
+    if (char == "~") {
+      lexer.backup()
+      if (lexer.width() > 0) {
+        lexer.emit(lunr.QueryLexer.TERM)
+      }
+      return lunr.QueryLexer.lexEditDistance
+    }
+
+    if (char == "^") {
+      lexer.backup()
+      if (lexer.width() > 0) {
+        lexer.emit(lunr.QueryLexer.TERM)
+      }
+      return lunr.QueryLexer.lexBoost
+    }
+
+    // "+" indicates term presence is required
+    // checking for length to ensure that only
+    // leading "+" are considered
+    if (char == "+" && lexer.width() === 1) {
+      lexer.emit(lunr.QueryLexer.PRESENCE)
+      return lunr.QueryLexer.lexText
+    }
+
+    // "-" indicates term presence is prohibited
+    // checking for length to ensure that only
+    // leading "-" are considered
+    if (char == "-" && lexer.width() === 1) {
+      lexer.emit(lunr.QueryLexer.PRESENCE)
+      return lunr.QueryLexer.lexText
+    }
+
+    if (char.match(lunr.QueryLexer.termSeparator)) {
+      return lunr.QueryLexer.lexTerm
+    }
+  }
+}
+

mcp-server/node_modules/lunr/lib/query_parse_error.js

@@ -0,0 +1,8 @@
+lunr.QueryParseError = function (message, start, end) {
+  this.name = "QueryParseError"
+  this.message = message
+  this.start = start
+  this.end = end
+}
+
+lunr.QueryParseError.prototype = new Error

mcp-server/node_modules/lunr/lib/query_parser.js

@@ -0,0 +1,255 @@
+lunr.QueryParser = function (str, query) {
+  this.lexer = new lunr.QueryLexer (str)
+  this.query = query
+  this.currentClause = {}
+  this.lexemeIdx = 0
+}
+
+lunr.QueryParser.prototype.parse = function () {
+  this.lexer.run()
+  this.lexemes = this.lexer.lexemes
+
+  var state = lunr.QueryParser.parseClause
+
+  while (state) {
+    state = state(this)
+  }
+
+  return this.query
+}
+
+lunr.QueryParser.prototype.peekLexeme = function () {
+  return this.lexemes[this.lexemeIdx]
+}
+
+lunr.QueryParser.prototype.consumeLexeme = function () {
+  var lexeme = this.peekLexeme()
+  this.lexemeIdx += 1
+  return lexeme
+}
+
+lunr.QueryParser.prototype.nextClause = function () {
+  var completedClause = this.currentClause
+  this.query.clause(completedClause)
+  this.currentClause = {}
+}
+
+lunr.QueryParser.parseClause = function (parser) {
+  var lexeme = parser.peekLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  switch (lexeme.type) {
+    case lunr.QueryLexer.PRESENCE:
+      return lunr.QueryParser.parsePresence
+    case lunr.QueryLexer.FIELD:
+      return lunr.QueryParser.parseField
+    case lunr.QueryLexer.TERM:
+      return lunr.QueryParser.parseTerm
+    default:
+      var errorMessage = "expected either a field or a term, found " + lexeme.type
+
+      if (lexeme.str.length >= 1) {
+        errorMessage += " with value '" + lexeme.str + "'"
+      }
+
+      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+}
+
+lunr.QueryParser.parsePresence = function (parser) {
+  var lexeme = parser.consumeLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  switch (lexeme.str) {
+    case "-":
+      parser.currentClause.presence = lunr.Query.presence.PROHIBITED
+      break
+    case "+":
+      parser.currentClause.presence = lunr.Query.presence.REQUIRED
+      break
+    default:
+      var errorMessage = "unrecognised presence operator'" + lexeme.str + "'"
+      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  var nextLexeme = parser.peekLexeme()
+
+  if (nextLexeme == undefined) {
+    var errorMessage = "expecting term or field, found nothing"
+    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  switch (nextLexeme.type) {
+    case lunr.QueryLexer.FIELD:
+      return lunr.QueryParser.parseField
+    case lunr.QueryLexer.TERM:
+      return lunr.QueryParser.parseTerm
+    default:
+      var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'"
+      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
+  }
+}
+
+lunr.QueryParser.parseField = function (parser) {
+  var lexeme = parser.consumeLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  if (parser.query.allFields.indexOf(lexeme.str) == -1) {
+    var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '),
+        errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields
+
+    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  parser.currentClause.fields = [lexeme.str]
+
+  var nextLexeme = parser.peekLexeme()
+
+  if (nextLexeme == undefined) {
+    var errorMessage = "expecting term, found nothing"
+    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  switch (nextLexeme.type) {
+    case lunr.QueryLexer.TERM:
+      return lunr.QueryParser.parseTerm
+    default:
+      var errorMessage = "expecting term, found '" + nextLexeme.type + "'"
+      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
+  }
+}
+
+lunr.QueryParser.parseTerm = function (parser) {
+  var lexeme = parser.consumeLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  parser.currentClause.term = lexeme.str.toLowerCase()
+
+  if (lexeme.str.indexOf("*") != -1) {
+    parser.currentClause.usePipeline = false
+  }
+
+  var nextLexeme = parser.peekLexeme()
+
+  if (nextLexeme == undefined) {
+    parser.nextClause()
+    return
+  }
+
+  switch (nextLexeme.type) {
+    case lunr.QueryLexer.TERM:
+      parser.nextClause()
+      return lunr.QueryParser.parseTerm
+    case lunr.QueryLexer.FIELD:
+      parser.nextClause()
+      return lunr.QueryParser.parseField
+    case lunr.QueryLexer.EDIT_DISTANCE:
+      return lunr.QueryParser.parseEditDistance
+    case lunr.QueryLexer.BOOST:
+      return lunr.QueryParser.parseBoost
+    case lunr.QueryLexer.PRESENCE:
+      parser.nextClause()
+      return lunr.QueryParser.parsePresence
+    default:
+      var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
+      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
+  }
+}
+
+lunr.QueryParser.parseEditDistance = function (parser) {
+  var lexeme = parser.consumeLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  var editDistance = parseInt(lexeme.str, 10)
+
+  if (isNaN(editDistance)) {
+    var errorMessage = "edit distance must be numeric"
+    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  parser.currentClause.editDistance = editDistance
+
+  var nextLexeme = parser.peekLexeme()
+
+  if (nextLexeme == undefined) {
+    parser.nextClause()
+    return
+  }
+
+  switch (nextLexeme.type) {
+    case lunr.QueryLexer.TERM:
+      parser.nextClause()
+      return lunr.QueryParser.parseTerm
+    case lunr.QueryLexer.FIELD:
+      parser.nextClause()
+      return lunr.QueryParser.parseField
+    case lunr.QueryLexer.EDIT_DISTANCE:
+      return lunr.QueryParser.parseEditDistance
+    case lunr.QueryLexer.BOOST:
+      return lunr.QueryParser.parseBoost
+    case lunr.QueryLexer.PRESENCE:
+      parser.nextClause()
+      return lunr.QueryParser.parsePresence
+    default:
+      var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
+      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
+  }
+}
+
+lunr.QueryParser.parseBoost = function (parser) {
+  var lexeme = parser.consumeLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  var boost = parseInt(lexeme.str, 10)
+
+  if (isNaN(boost)) {
+    var errorMessage = "boost must be numeric"
+    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  parser.currentClause.boost = boost
+
+  var nextLexeme = parser.peekLexeme()
+
+  if (nextLexeme == undefined) {
+    parser.nextClause()
+    return
+  }
+
+  switch (nextLexeme.type) {
+    case lunr.QueryLexer.TERM:
+      parser.nextClause()
+      return lunr.QueryParser.parseTerm
+    case lunr.QueryLexer.FIELD:
+      parser.nextClause()
+      return lunr.QueryParser.parseField
+    case lunr.QueryLexer.EDIT_DISTANCE:
+      return lunr.QueryParser.parseEditDistance
+    case lunr.QueryLexer.BOOST:
+      return lunr.QueryParser.parseBoost
+    case lunr.QueryLexer.PRESENCE:
+      parser.nextClause()
+      return lunr.QueryParser.parsePresence
+    default:
+      var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
+      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
+  }
+}

mcp-server/node_modules/lunr/lib/set.js

@@ -0,0 +1,133 @@
+/*!
+ * lunr.Set
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * A lunr set.
+ *
+ * @constructor
+ */
+lunr.Set = function (elements) {
+  this.elements = Object.create(null)
+
+  if (elements) {
+    this.length = elements.length
+
+    for (var i = 0; i < this.length; i++) {
+      this.elements[elements[i]] = true
+    }
+  } else {
+    this.length = 0
+  }
+}
+
+/**
+ * A complete set that contains all elements.
+ *
+ * @static
+ * @readonly
+ * @type {lunr.Set}
+ */
+lunr.Set.complete = {
+  intersect: function (other) {
+    return other
+  },
+
+  union: function () {
+    return this
+  },
+
+  contains: function () {
+    return true
+  }
+}
+
+/**
+ * An empty set that contains no elements.
+ *
+ * @static
+ * @readonly
+ * @type {lunr.Set}
+ */
+lunr.Set.empty = {
+  intersect: function () {
+    return this
+  },
+
+  union: function (other) {
+    return other
+  },
+
+  contains: function () {
+    return false
+  }
+}
+
+/**
+ * Returns true if this set contains the specified object.
+ *
+ * @param {object} object - Object whose presence in this set is to be tested.
+ * @returns {boolean} - True if this set contains the specified object.
+ */
+lunr.Set.prototype.contains = function (object) {
+  return !!this.elements[object]
+}
+
+/**
+ * Returns a new set containing only the elements that are present in both
+ * this set and the specified set.
+ *
+ * @param {lunr.Set} other - set to intersect with this set.
+ * @returns {lunr.Set} a new set that is the intersection of this and the specified set.
+ */
+
+lunr.Set.prototype.intersect = function (other) {
+  var a, b, elements, intersection = []
+
+  if (other === lunr.Set.complete) {
+    return this
+  }
+
+  if (other === lunr.Set.empty) {
+    return other
+  }
+
+  if (this.length < other.length) {
+    a = this
+    b = other
+  } else {
+    a = other
+    b = this
+  }
+
+  elements = Object.keys(a.elements)
+
+  for (var i = 0; i < elements.length; i++) {
+    var element = elements[i]
+    if (element in b.elements) {
+      intersection.push(element)
+    }
+  }
+
+  return new lunr.Set (intersection)
+}
+
+/**
+ * Returns a new set combining the elements of this and the specified set.
+ *
+ * @param {lunr.Set} other - set to union with this set.
+ * @return {lunr.Set} a new set that is the union of this and the specified set.
+ */
+
+lunr.Set.prototype.union = function (other) {
+  if (other === lunr.Set.complete) {
+    return lunr.Set.complete
+  }
+
+  if (other === lunr.Set.empty) {
+    return this
+  }
+
+  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))
+}

mcp-server/node_modules/lunr/lib/stemmer.js

@@ -0,0 +1,223 @@
+/* eslint-disable */
+/*!
+ * lunr.stemmer
+ * Copyright (C) @YEAR Oliver Nightingale
+ * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt
+ */
+
+/**
+ * lunr.stemmer is an english language stemmer, this is a JavaScript
+ * implementation of the PorterStemmer taken from http://tartarus.org/~martin
+ *
+ * @static
+ * @implements {lunr.PipelineFunction}
+ * @param {lunr.Token} token - The string to stem
+ * @returns {lunr.Token}
+ * @see {@link lunr.Pipeline}
+ * @function
+ */
+lunr.stemmer = (function(){
+  var step2list = {
+      "ational" : "ate",
+      "tional" : "tion",
+      "enci" : "ence",
+      "anci" : "ance",
+      "izer" : "ize",
+      "bli" : "ble",
+      "alli" : "al",
+      "entli" : "ent",
+      "eli" : "e",
+      "ousli" : "ous",
+      "ization" : "ize",
+      "ation" : "ate",
+      "ator" : "ate",
+      "alism" : "al",
+      "iveness" : "ive",
+      "fulness" : "ful",
+      "ousness" : "ous",
+      "aliti" : "al",
+      "iviti" : "ive",
+      "biliti" : "ble",
+      "logi" : "log"
+    },
+
+    step3list = {
+      "icate" : "ic",
+      "ative" : "",
+      "alize" : "al",
+      "iciti" : "ic",
+      "ical" : "ic",
+      "ful" : "",
+      "ness" : ""
+    },
+
+    c = "[^aeiou]",          // consonant
+    v = "[aeiouy]",          // vowel
+    C = c + "[^aeiouy]*",    // consonant sequence
+    V = v + "[aeiou]*",      // vowel sequence
+
+    mgr0 = "^(" + C + ")?" + V + C,               // [C]VC... is m>0
+    meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$",  // [C]VC[V] is m=1
+    mgr1 = "^(" + C + ")?" + V + C + V + C,       // [C]VCVC... is m>1
+    s_v = "^(" + C + ")?" + v;                   // vowel in stem
+
+  var re_mgr0 = new RegExp(mgr0);
+  var re_mgr1 = new RegExp(mgr1);
+  var re_meq1 = new RegExp(meq1);
+  var re_s_v = new RegExp(s_v);
+
+  var re_1a = /^(.+?)(ss|i)es$/;
+  var re2_1a = /^(.+?)([^s])s$/;
+  var re_1b = /^(.+?)eed$/;
+  var re2_1b = /^(.+?)(ed|ing)$/;
+  var re_1b_2 = /.$/;
+  var re2_1b_2 = /(at|bl|iz)$/;
+  var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$");
+  var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+
+  var re_1c = /^(.+?[^aeiou])y$/;
+  var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+
+  var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+
+  var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+  var re2_4 = /^(.+?)(s|t)(ion)$/;
+
+  var re_5 = /^(.+?)e$/;
+  var re_5_1 = /ll$/;
+  var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+
+  var porterStemmer = function porterStemmer(w) {
+    var stem,
+      suffix,
+      firstch,
+      re,
+      re2,
+      re3,
+      re4;
+
+    if (w.length < 3) { return w; }
+
+    firstch = w.substr(0,1);
+    if (firstch == "y") {
+      w = firstch.toUpperCase() + w.substr(1);
+    }
+
+    // Step 1a
+    re = re_1a
+    re2 = re2_1a;
+
+    if (re.test(w)) { w = w.replace(re,"$1$2"); }
+    else if (re2.test(w)) { w = w.replace(re2,"$1$2"); }
+
+    // Step 1b
+    re = re_1b;
+    re2 = re2_1b;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = re_mgr0;
+      if (re.test(fp[1])) {
+        re = re_1b_2;
+        w = w.replace(re,"");
+      }
+    } else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = re_s_v;
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = re2_1b_2;
+        re3 = re3_1b_2;
+        re4 = re4_1b_2;
+        if (re2.test(w)) { w = w + "e"; }
+        else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); }
+        else if (re4.test(w)) { w = w + "e"; }
+      }
+    }
+
+    // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)
+    re = re_1c;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      w = stem + "i";
+    }
+
+    // Step 2
+    re = re_2;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = re_mgr0;
+      if (re.test(stem)) {
+        w = stem + step2list[suffix];
+      }
+    }
+
+    // Step 3
+    re = re_3;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = re_mgr0;
+      if (re.test(stem)) {
+        w = stem + step3list[suffix];
+      }
+    }
+
+    // Step 4
+    re = re_4;
+    re2 = re2_4;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = re_mgr1;
+      if (re.test(stem)) {
+        w = stem;
+      }
+    } else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = re_mgr1;
+      if (re2.test(stem)) {
+        w = stem;
+      }
+    }
+
+    // Step 5
+    re = re_5;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = re_mgr1;
+      re2 = re_meq1;
+      re3 = re3_5;
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {
+        w = stem;
+      }
+    }
+
+    re = re_5_1;
+    re2 = re_mgr1;
+    if (re.test(w) && re2.test(w)) {
+      re = re_1b_2;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+
+    if (firstch == "y") {
+      w = firstch.toLowerCase() + w.substr(1);
+    }
+
+    return w;
+  };
+
+  return function (token) {
+    return token.update(porterStemmer);
+  }
+})();
+
+lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')

mcp-server/node_modules/lunr/lib/stop_word_filter.js

@@ -0,0 +1,165 @@
+/*!
+ * lunr.stopWordFilter
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * lunr.generateStopWordFilter builds a stopWordFilter function from the provided
+ * list of stop words.
+ *
+ * The built in lunr.stopWordFilter is built using this generator and can be used
+ * to generate custom stopWordFilters for applications or non English languages.
+ *
+ * @function
+ * @param {Array} token The token to pass through the filter
+ * @returns {lunr.PipelineFunction}
+ * @see lunr.Pipeline
+ * @see lunr.stopWordFilter
+ */
+lunr.generateStopWordFilter = function (stopWords) {
+  var words = stopWords.reduce(function (memo, stopWord) {
+    memo[stopWord] = stopWord
+    return memo
+  }, {})
+
+  return function (token) {
+    if (token && words[token.toString()] !== token.toString()) return token
+  }
+}
+
+/**
+ * lunr.stopWordFilter is an English language stop word list filter, any words
+ * contained in the list will not be passed through the filter.
+ *
+ * This is intended to be used in the Pipeline. If the token does not pass the
+ * filter then undefined will be returned.
+ *
+ * @function
+ * @implements {lunr.PipelineFunction}
+ * @params {lunr.Token} token - A token to check for being a stop word.
+ * @returns {lunr.Token}
+ * @see {@link lunr.Pipeline}
+ */
+lunr.stopWordFilter = lunr.generateStopWordFilter([
+  'a',
+  'able',
+  'about',
+  'across',
+  'after',
+  'all',
+  'almost',
+  'also',
+  'am',
+  'among',
+  'an',
+  'and',
+  'any',
+  'are',
+  'as',
+  'at',
+  'be',
+  'because',
+  'been',
+  'but',
+  'by',
+  'can',
+  'cannot',
+  'could',
+  'dear',
+  'did',
+  'do',
+  'does',
+  'either',
+  'else',
+  'ever',
+  'every',
+  'for',
+  'from',
+  'get',
+  'got',
+  'had',
+  'has',
+  'have',
+  'he',
+  'her',
+  'hers',
+  'him',
+  'his',
+  'how',
+  'however',
+  'i',
+  'if',
+  'in',
+  'into',
+  'is',
+  'it',
+  'its',
+  'just',
+  'least',
+  'let',
+  'like',
+  'likely',
+  'may',
+  'me',
+  'might',
+  'most',
+  'must',
+  'my',
+  'neither',
+  'no',
+  'nor',
+  'not',
+  'of',
+  'off',
+  'often',
+  'on',
+  'only',
+  'or',
+  'other',
+  'our',
+  'own',
+  'rather',
+  'said',
+  'say',
+  'says',
+  'she',
+  'should',
+  'since',
+  'so',
+  'some',
+  'than',
+  'that',
+  'the',
+  'their',
+  'them',
+  'then',
+  'there',
+  'these',
+  'they',
+  'this',
+  'tis',
+  'to',
+  'too',
+  'twas',
+  'us',
+  'wants',
+  'was',
+  'we',
+  'were',
+  'what',
+  'when',
+  'where',
+  'which',
+  'while',
+  'who',
+  'whom',
+  'why',
+  'will',
+  'with',
+  'would',
+  'yet',
+  'you',
+  'your'
+])
+
+lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')

mcp-server/node_modules/lunr/lib/token.js

@@ -0,0 +1,58 @@
+/**
+ * A token wraps a string representation of a token
+ * as it is passed through the text processing pipeline.
+ *
+ * @constructor
+ * @param {string} [str=''] - The string token being wrapped.
+ * @param {object} [metadata={}] - Metadata associated with this token.
+ */
+lunr.Token = function (str, metadata) {
+  this.str = str || ""
+  this.metadata = metadata || {}
+}
+
+/**
+ * Returns the token string that is being wrapped by this object.
+ *
+ * @returns {string}
+ */
+lunr.Token.prototype.toString = function () {
+  return this.str
+}
+
+/**
+ * A token update function is used when updating or optionally
+ * when cloning a token.
+ *
+ * @callback lunr.Token~updateFunction
+ * @param {string} str - The string representation of the token.
+ * @param {Object} metadata - All metadata associated with this token.
+ */
+
+/**
+ * Applies the given function to the wrapped string token.
+ *
+ * @example
+ * token.update(function (str, metadata) {
+ *   return str.toUpperCase()
+ * })
+ *
+ * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.
+ * @returns {lunr.Token}
+ */
+lunr.Token.prototype.update = function (fn) {
+  this.str = fn(this.str, this.metadata)
+  return this
+}
+
+/**
+ * Creates a clone of this token. Optionally a function can be
+ * applied to the cloned token.
+ *
+ * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.
+ * @returns {lunr.Token}
+ */
+lunr.Token.prototype.clone = function (fn) {
+  fn = fn || function (s) { return s }
+  return new lunr.Token (fn(this.str, this.metadata), this.metadata)
+}

mcp-server/node_modules/lunr/lib/token_set.js

@@ -0,0 +1,415 @@
+/*!
+ * lunr.TokenSet
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * A token set is used to store the unique list of all tokens
+ * within an index. Token sets are also used to represent an
+ * incoming query to the index, this query token set and index
+ * token set are then intersected to find which tokens to look
+ * up in the inverted index.
+ *
+ * A token set can hold multiple tokens, as in the case of the
+ * index token set, or it can hold a single token as in the
+ * case of a simple query token set.
+ *
+ * Additionally token sets are used to perform wildcard matching.
+ * Leading, contained and trailing wildcards are supported, and
+ * from this edit distance matching can also be provided.
+ *
+ * Token sets are implemented as a minimal finite state automata,
+ * where both common prefixes and suffixes are shared between tokens.
+ * This helps to reduce the space used for storing the token set.
+ *
+ * @constructor
+ */
+lunr.TokenSet = function () {
+  this.final = false
+  this.edges = {}
+  this.id = lunr.TokenSet._nextId
+  lunr.TokenSet._nextId += 1
+}
+
+/**
+ * Keeps track of the next, auto increment, identifier to assign
+ * to a new tokenSet.
+ *
+ * TokenSets require a unique identifier to be correctly minimised.
+ *
+ * @private
+ */
+lunr.TokenSet._nextId = 1
+
+/**
+ * Creates a TokenSet instance from the given sorted array of words.
+ *
+ * @param {String[]} arr - A sorted array of strings to create the set from.
+ * @returns {lunr.TokenSet}
+ * @throws Will throw an error if the input array is not sorted.
+ */
+lunr.TokenSet.fromArray = function (arr) {
+  var builder = new lunr.TokenSet.Builder
+
+  for (var i = 0, len = arr.length; i < len; i++) {
+    builder.insert(arr[i])
+  }
+
+  builder.finish()
+  return builder.root
+}
+
+/**
+ * Creates a token set from a query clause.
+ *
+ * @private
+ * @param {Object} clause - A single clause from lunr.Query.
+ * @param {string} clause.term - The query clause term.
+ * @param {number} [clause.editDistance] - The optional edit distance for the term.
+ * @returns {lunr.TokenSet}
+ */
+lunr.TokenSet.fromClause = function (clause) {
+  if ('editDistance' in clause) {
+    return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)
+  } else {
+    return lunr.TokenSet.fromString(clause.term)
+  }
+}
+
+/**
+ * Creates a token set representing a single string with a specified
+ * edit distance.
+ *
+ * Insertions, deletions, substitutions and transpositions are each
+ * treated as an edit distance of 1.
+ *
+ * Increasing the allowed edit distance will have a dramatic impact
+ * on the performance of both creating and intersecting these TokenSets.
+ * It is advised to keep the edit distance less than 3.
+ *
+ * @param {string} str - The string to create the token set from.
+ * @param {number} editDistance - The allowed edit distance to match.
+ * @returns {lunr.Vector}
+ */
+lunr.TokenSet.fromFuzzyString = function (str, editDistance) {
+  var root = new lunr.TokenSet
+
+  var stack = [{
+    node: root,
+    editsRemaining: editDistance,
+    str: str
+  }]
+
+  while (stack.length) {
+    var frame = stack.pop()
+
+    // no edit
+    if (frame.str.length > 0) {
+      var char = frame.str.charAt(0),
+          noEditNode
+
+      if (char in frame.node.edges) {
+        noEditNode = frame.node.edges[char]
+      } else {
+        noEditNode = new lunr.TokenSet
+        frame.node.edges[char] = noEditNode
+      }
+
+      if (frame.str.length == 1) {
+        noEditNode.final = true
+      }
+
+      stack.push({
+        node: noEditNode,
+        editsRemaining: frame.editsRemaining,
+        str: frame.str.slice(1)
+      })
+    }
+
+    if (frame.editsRemaining == 0) {
+      continue
+    }
+
+    // insertion
+    if ("*" in frame.node.edges) {
+      var insertionNode = frame.node.edges["*"]
+    } else {
+      var insertionNode = new lunr.TokenSet
+      frame.node.edges["*"] = insertionNode
+    }
+
+    if (frame.str.length == 0) {
+      insertionNode.final = true
+    }
+
+    stack.push({
+      node: insertionNode,
+      editsRemaining: frame.editsRemaining - 1,
+      str: frame.str
+    })
+
+    // deletion
+    // can only do a deletion if we have enough edits remaining
+    // and if there are characters left to delete in the string
+    if (frame.str.length > 1) {
+      stack.push({
+        node: frame.node,
+        editsRemaining: frame.editsRemaining - 1,
+        str: frame.str.slice(1)
+      })
+    }
+
+    // deletion
+    // just removing the last character from the str
+    if (frame.str.length == 1) {
+      frame.node.final = true
+    }
+
+    // substitution
+    // can only do a substitution if we have enough edits remaining
+    // and if there are characters left to substitute
+    if (frame.str.length >= 1) {
+      if ("*" in frame.node.edges) {
+        var substitutionNode = frame.node.edges["*"]
+      } else {
+        var substitutionNode = new lunr.TokenSet
+        frame.node.edges["*"] = substitutionNode
+      }
+
+      if (frame.str.length == 1) {
+        substitutionNode.final = true
+      }
+
+      stack.push({
+        node: substitutionNode,
+        editsRemaining: frame.editsRemaining - 1,
+        str: frame.str.slice(1)
+      })
+    }
+
+    // transposition
+    // can only do a transposition if there are edits remaining
+    // and there are enough characters to transpose
+    if (frame.str.length > 1) {
+      var charA = frame.str.charAt(0),
+          charB = frame.str.charAt(1),
+          transposeNode
+
+      if (charB in frame.node.edges) {
+        transposeNode = frame.node.edges[charB]
+      } else {
+        transposeNode = new lunr.TokenSet
+        frame.node.edges[charB] = transposeNode
+      }
+
+      if (frame.str.length == 1) {
+        transposeNode.final = true
+      }
+
+      stack.push({
+        node: transposeNode,
+        editsRemaining: frame.editsRemaining - 1,
+        str: charA + frame.str.slice(2)
+      })
+    }
+  }
+
+  return root
+}
+
+/**
+ * Creates a TokenSet from a string.
+ *
+ * The string may contain one or more wildcard characters (*)
+ * that will allow wildcard matching when intersecting with
+ * another TokenSet.
+ *
+ * @param {string} str - The string to create a TokenSet from.
+ * @returns {lunr.TokenSet}
+ */
+lunr.TokenSet.fromString = function (str) {
+  var node = new lunr.TokenSet,
+      root = node
+
+  /*
+   * Iterates through all characters within the passed string
+   * appending a node for each character.
+   *
+   * When a wildcard character is found then a self
+   * referencing edge is introduced to continually match
+   * any number of any characters.
+   */
+  for (var i = 0, len = str.length; i < len; i++) {
+    var char = str[i],
+        final = (i == len - 1)
+
+    if (char == "*") {
+      node.edges[char] = node
+      node.final = final
+
+    } else {
+      var next = new lunr.TokenSet
+      next.final = final
+
+      node.edges[char] = next
+      node = next
+    }
+  }
+
+  return root
+}
+
+/**
+ * Converts this TokenSet into an array of strings
+ * contained within the TokenSet.
+ *
+ * This is not intended to be used on a TokenSet that
+ * contains wildcards, in these cases the results are
+ * undefined and are likely to cause an infinite loop.
+ *
+ * @returns {string[]}
+ */
+lunr.TokenSet.prototype.toArray = function () {
+  var words = []
+
+  var stack = [{
+    prefix: "",
+    node: this
+  }]
+
+  while (stack.length) {
+    var frame = stack.pop(),
+        edges = Object.keys(frame.node.edges),
+        len = edges.length
+
+    if (frame.node.final) {
+      /* In Safari, at this point the prefix is sometimes corrupted, see:
+       * https://github.com/olivernn/lunr.js/issues/279 Calling any
+       * String.prototype method forces Safari to "cast" this string to what
+       * it's supposed to be, fixing the bug. */
+      frame.prefix.charAt(0)
+      words.push(frame.prefix)
+    }
+
+    for (var i = 0; i < len; i++) {
+      var edge = edges[i]
+
+      stack.push({
+        prefix: frame.prefix.concat(edge),
+        node: frame.node.edges[edge]
+      })
+    }
+  }
+
+  return words
+}
+
+/**
+ * Generates a string representation of a TokenSet.
+ *
+ * This is intended to allow TokenSets to be used as keys
+ * in objects, largely to aid the construction and minimisation
+ * of a TokenSet. As such it is not designed to be a human
+ * friendly representation of the TokenSet.
+ *
+ * @returns {string}
+ */
+lunr.TokenSet.prototype.toString = function () {
+  // NOTE: Using Object.keys here as this.edges is very likely
+  // to enter 'hash-mode' with many keys being added
+  //
+  // avoiding a for-in loop here as it leads to the function
+  // being de-optimised (at least in V8). From some simple
+  // benchmarks the performance is comparable, but allowing
+  // V8 to optimize may mean easy performance wins in the future.
+
+  if (this._str) {
+    return this._str
+  }
+
+  var str = this.final ? '1' : '0',
+      labels = Object.keys(this.edges).sort(),
+      len = labels.length
+
+  for (var i = 0; i < len; i++) {
+    var label = labels[i],
+        node = this.edges[label]
+
+    str = str + label + node.id
+  }
+
+  return str
+}
+
+/**
+ * Returns a new TokenSet that is the intersection of
+ * this TokenSet and the passed TokenSet.
+ *
+ * This intersection will take into account any wildcards
+ * contained within the TokenSet.
+ *
+ * @param {lunr.TokenSet} b - An other TokenSet to intersect with.
+ * @returns {lunr.TokenSet}
+ */
+lunr.TokenSet.prototype.intersect = function (b) {
+  var output = new lunr.TokenSet,
+      frame = undefined
+
+  var stack = [{
+    qNode: b,
+    output: output,
+    node: this
+  }]
+
+  while (stack.length) {
+    frame = stack.pop()
+
+    // NOTE: As with the #toString method, we are using
+    // Object.keys and a for loop instead of a for-in loop
+    // as both of these objects enter 'hash' mode, causing
+    // the function to be de-optimised in V8
+    var qEdges = Object.keys(frame.qNode.edges),
+        qLen = qEdges.length,
+        nEdges = Object.keys(frame.node.edges),
+        nLen = nEdges.length
+
+    for (var q = 0; q < qLen; q++) {
+      var qEdge = qEdges[q]
+
+      for (var n = 0; n < nLen; n++) {
+        var nEdge = nEdges[n]
+
+        if (nEdge == qEdge || qEdge == '*') {
+          var node = frame.node.edges[nEdge],
+              qNode = frame.qNode.edges[qEdge],
+              final = node.final && qNode.final,
+              next = undefined
+
+          if (nEdge in frame.output.edges) {
+            // an edge already exists for this character
+            // no need to create a new node, just set the finality
+            // bit unless this node is already final
+            next = frame.output.edges[nEdge]
+            next.final = next.final || final
+
+          } else {
+            // no edge exists yet, must create one
+            // set the finality bit and insert it
+            // into the output
+            next = new lunr.TokenSet
+            next.final = final
+            frame.output.edges[nEdge] = next
+          }
+
+          stack.push({
+            qNode: qNode,
+            output: next,
+            node: node
+          })
+        }
+      }
+    }
+  }
+
+  return output
+}

mcp-server/node_modules/lunr/lib/token_set_builder.js

@@ -0,0 +1,69 @@
+lunr.TokenSet.Builder = function () {
+  this.previousWord = ""
+  this.root = new lunr.TokenSet
+  this.uncheckedNodes = []
+  this.minimizedNodes = {}
+}
+
+lunr.TokenSet.Builder.prototype.insert = function (word) {
+  var node,
+      commonPrefix = 0
+
+  if (word < this.previousWord) {
+    throw new Error ("Out of order word insertion")
+  }
+
+  for (var i = 0; i < word.length && i < this.previousWord.length; i++) {
+    if (word[i] != this.previousWord[i]) break
+    commonPrefix++
+  }
+
+  this.minimize(commonPrefix)
+
+  if (this.uncheckedNodes.length == 0) {
+    node = this.root
+  } else {
+    node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child
+  }
+
+  for (var i = commonPrefix; i < word.length; i++) {
+    var nextNode = new lunr.TokenSet,
+        char = word[i]
+
+    node.edges[char] = nextNode
+
+    this.uncheckedNodes.push({
+      parent: node,
+      char: char,
+      child: nextNode
+    })
+
+    node = nextNode
+  }
+
+  node.final = true
+  this.previousWord = word
+}
+
+lunr.TokenSet.Builder.prototype.finish = function () {
+  this.minimize(0)
+}
+
+lunr.TokenSet.Builder.prototype.minimize = function (downTo) {
+  for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {
+    var node = this.uncheckedNodes[i],
+        childKey = node.child.toString()
+
+    if (childKey in this.minimizedNodes) {
+      node.parent.edges[node.char] = this.minimizedNodes[childKey]
+    } else {
+      // Cache the key for this node since
+      // we know it can't change anymore
+      node.child._str = childKey
+
+      this.minimizedNodes[childKey] = node.child
+    }
+
+    this.uncheckedNodes.pop()
+  }
+}

mcp-server/node_modules/lunr/lib/tokenizer.js

@@ -0,0 +1,76 @@
+/*!
+ * lunr.tokenizer
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * A function for splitting a string into tokens ready to be inserted into
+ * the search index. Uses `lunr.tokenizer.separator` to split strings, change
+ * the value of this property to change how strings are split into tokens.
+ *
+ * This tokenizer will convert its parameter to a string by calling `toString` and
+ * then will split this string on the character in `lunr.tokenizer.separator`.
+ * Arrays will have their elements converted to strings and wrapped in a lunr.Token.
+ *
+ * Optional metadata can be passed to the tokenizer, this metadata will be cloned and
+ * added as metadata to every token that is created from the object to be tokenized.
+ *
+ * @static
+ * @param {?(string|object|object[])} obj - The object to convert into tokens
+ * @param {?object} metadata - Optional metadata to associate with every token
+ * @returns {lunr.Token[]}
+ * @see {@link lunr.Pipeline}
+ */
+lunr.tokenizer = function (obj, metadata) {
+  if (obj == null || obj == undefined) {
+    return []
+  }
+
+  if (Array.isArray(obj)) {
+    return obj.map(function (t) {
+      return new lunr.Token(
+        lunr.utils.asString(t).toLowerCase(),
+        lunr.utils.clone(metadata)
+      )
+    })
+  }
+
+  var str = obj.toString().toLowerCase(),
+      len = str.length,
+      tokens = []
+
+  for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {
+    var char = str.charAt(sliceEnd),
+        sliceLength = sliceEnd - sliceStart
+
+    if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {
+
+      if (sliceLength > 0) {
+        var tokenMetadata = lunr.utils.clone(metadata) || {}
+        tokenMetadata["position"] = [sliceStart, sliceLength]
+        tokenMetadata["index"] = tokens.length
+
+        tokens.push(
+          new lunr.Token (
+            str.slice(sliceStart, sliceEnd),
+            tokenMetadata
+          )
+        )
+      }
+
+      sliceStart = sliceEnd + 1
+    }
+
+  }
+
+  return tokens
+}
+
+/**
+ * The separator used to split a string into tokens. Override this property to change the behaviour of
+ * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.
+ *
+ * @static
+ * @see lunr.tokenizer
+ */
+lunr.tokenizer.separator = /[\s\-]+/

mcp-server/node_modules/lunr/lib/trimmer.js

@@ -0,0 +1,27 @@
+/*!
+ * lunr.trimmer
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * lunr.trimmer is a pipeline function for trimming non word
+ * characters from the beginning and end of tokens before they
+ * enter the index.
+ *
+ * This implementation may not work correctly for non latin
+ * characters and should either be removed or adapted for use
+ * with languages with non-latin characters.
+ *
+ * @static
+ * @implements {lunr.PipelineFunction}
+ * @param {lunr.Token} token The token to pass through the filter
+ * @returns {lunr.Token}
+ * @see lunr.Pipeline
+ */
+lunr.trimmer = function (token) {
+  return token.update(function (s) {
+    return s.replace(/^\W+/, '').replace(/\W+$/, '')
+  })
+}
+
+lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')

mcp-server/node_modules/lunr/lib/utils.js

@@ -0,0 +1,92 @@
+/*!
+ * lunr.utils
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * A namespace containing utils for the rest of the lunr library
+ * @namespace lunr.utils
+ */
+lunr.utils = {}
+
+/**
+ * Print a warning message to the console.
+ *
+ * @param {String} message The message to be printed.
+ * @memberOf lunr.utils
+ * @function
+ */
+lunr.utils.warn = (function (global) {
+  /* eslint-disable no-console */
+  return function (message) {
+    if (global.console && console.warn) {
+      console.warn(message)
+    }
+  }
+  /* eslint-enable no-console */
+})(this)
+
+/**
+ * Convert an object to a string.
+ *
+ * In the case of `null` and `undefined` the function returns
+ * the empty string, in all other cases the result of calling
+ * `toString` on the passed object is returned.
+ *
+ * @param {Any} obj The object to convert to a string.
+ * @return {String} string representation of the passed object.
+ * @memberOf lunr.utils
+ */
+lunr.utils.asString = function (obj) {
+  if (obj === void 0 || obj === null) {
+    return ""
+  } else {
+    return obj.toString()
+  }
+}
+
+/**
+ * Clones an object.
+ *
+ * Will create a copy of an existing object such that any mutations
+ * on the copy cannot affect the original.
+ *
+ * Only shallow objects are supported, passing a nested object to this
+ * function will cause a TypeError.
+ *
+ * Objects with primitives, and arrays of primitives are supported.
+ *
+ * @param {Object} obj The object to clone.
+ * @return {Object} a clone of the passed object.
+ * @throws {TypeError} when a nested object is passed.
+ * @memberOf Utils
+ */
+lunr.utils.clone = function (obj) {
+  if (obj === null || obj === undefined) {
+    return obj
+  }
+
+  var clone = Object.create(null),
+      keys = Object.keys(obj)
+
+  for (var i = 0; i < keys.length; i++) {
+    var key = keys[i],
+        val = obj[key]
+
+    if (Array.isArray(val)) {
+      clone[key] = val.slice()
+      continue
+    }
+
+    if (typeof val === 'string' ||
+        typeof val === 'number' ||
+        typeof val === 'boolean') {
+      clone[key] = val
+      continue
+    }
+
+    throw new TypeError("clone is not deep and does not support nested objects")
+  }
+
+  return clone
+}

mcp-server/node_modules/lunr/lib/vector.js

@@ -0,0 +1,196 @@
+/*!
+ * lunr.Vector
+ * Copyright (C) @YEAR Oliver Nightingale
+ */
+
+/**
+ * A vector is used to construct the vector space of documents and queries. These
+ * vectors support operations to determine the similarity between two documents or
+ * a document and a query.
+ *
+ * Normally no parameters are required for initializing a vector, but in the case of
+ * loading a previously dumped vector the raw elements can be provided to the constructor.
+ *
+ * For performance reasons vectors are implemented with a flat array, where an elements
+ * index is immediately followed by its value. E.g. [index, value, index, value]. This
+ * allows the underlying array to be as sparse as possible and still offer decent
+ * performance when being used for vector calculations.
+ *
+ * @constructor
+ * @param {Number[]} [elements] - The flat list of element index and element value pairs.
+ */
+lunr.Vector = function (elements) {
+  this._magnitude = 0
+  this.elements = elements || []
+}
+
+
+/**
+ * Calculates the position within the vector to insert a given index.
+ *
+ * This is used internally by insert and upsert. If there are duplicate indexes then
+ * the position is returned as if the value for that index were to be updated, but it
+ * is the callers responsibility to check whether there is a duplicate at that index
+ *
+ * @param {Number} insertIdx - The index at which the element should be inserted.
+ * @returns {Number}
+ */
+lunr.Vector.prototype.positionForIndex = function (index) {
+  // For an empty vector the tuple can be inserted at the beginning
+  if (this.elements.length == 0) {
+    return 0
+  }
+
+  var start = 0,
+      end = this.elements.length / 2,
+      sliceLength = end - start,
+      pivotPoint = Math.floor(sliceLength / 2),
+      pivotIndex = this.elements[pivotPoint * 2]
+
+  while (sliceLength > 1) {
+    if (pivotIndex < index) {
+      start = pivotPoint
+    }
+
+    if (pivotIndex > index) {
+      end = pivotPoint
+    }
+
+    if (pivotIndex == index) {
+      break
+    }
+
+    sliceLength = end - start
+    pivotPoint = start + Math.floor(sliceLength / 2)
+    pivotIndex = this.elements[pivotPoint * 2]
+  }
+
+  if (pivotIndex == index) {
+    return pivotPoint * 2
+  }
+
+  if (pivotIndex > index) {
+    return pivotPoint * 2
+  }
+
+  if (pivotIndex < index) {
+    return (pivotPoint + 1) * 2
+  }
+}
+
+/**
+ * Inserts an element at an index within the vector.
+ *
+ * Does not allow duplicates, will throw an error if there is already an entry
+ * for this index.
+ *
+ * @param {Number} insertIdx - The index at which the element should be inserted.
+ * @param {Number} val - The value to be inserted into the vector.
+ */
+lunr.Vector.prototype.insert = function (insertIdx, val) {
+  this.upsert(insertIdx, val, function () {
+    throw "duplicate index"
+  })
+}
+
+/**
+ * Inserts or updates an existing index within the vector.
+ *
+ * @param {Number} insertIdx - The index at which the element should be inserted.
+ * @param {Number} val - The value to be inserted into the vector.
+ * @param {function} fn - A function that is called for updates, the existing value and the
+ * requested value are passed as arguments
+ */
+lunr.Vector.prototype.upsert = function (insertIdx, val, fn) {
+  this._magnitude = 0
+  var position = this.positionForIndex(insertIdx)
+
+  if (this.elements[position] == insertIdx) {
+    this.elements[position + 1] = fn(this.elements[position + 1], val)
+  } else {
+    this.elements.splice(position, 0, insertIdx, val)
+  }
+}
+
+/**
+ * Calculates the magnitude of this vector.
+ *
+ * @returns {Number}
+ */
+lunr.Vector.prototype.magnitude = function () {
+  if (this._magnitude) return this._magnitude
+
+  var sumOfSquares = 0,
+      elementsLength = this.elements.length
+
+  for (var i = 1; i < elementsLength; i += 2) {
+    var val = this.elements[i]
+    sumOfSquares += val * val
+  }
+
+  return this._magnitude = Math.sqrt(sumOfSquares)
+}
+
+/**
+ * Calculates the dot product of this vector and another vector.
+ *
+ * @param {lunr.Vector} otherVector - The vector to compute the dot product with.
+ * @returns {Number}
+ */
+lunr.Vector.prototype.dot = function (otherVector) {
+  var dotProduct = 0,
+      a = this.elements, b = otherVector.elements,
+      aLen = a.length, bLen = b.length,
+      aVal = 0, bVal = 0,
+      i = 0, j = 0
+
+  while (i < aLen && j < bLen) {
+    aVal = a[i], bVal = b[j]
+    if (aVal < bVal) {
+      i += 2
+    } else if (aVal > bVal) {
+      j += 2
+    } else if (aVal == bVal) {
+      dotProduct += a[i + 1] * b[j + 1]
+      i += 2
+      j += 2
+    }
+  }
+
+  return dotProduct
+}
+
+/**
+ * Calculates the similarity between this vector and another vector.
+ *
+ * @param {lunr.Vector} otherVector - The other vector to calculate the
+ * similarity with.
+ * @returns {Number}
+ */
+lunr.Vector.prototype.similarity = function (otherVector) {
+  return this.dot(otherVector) / this.magnitude() || 0
+}
+
+/**
+ * Converts the vector to an array of the elements within the vector.
+ *
+ * @returns {Number[]}
+ */
+lunr.Vector.prototype.toArray = function () {
+  var output = new Array (this.elements.length / 2)
+
+  for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {
+    output[j] = this.elements[i]
+  }
+
+  return output
+}
+
+/**
+ * A JSON serializable representation of the vector.
+ *
+ * @returns {Number[]}
+ */
+lunr.Vector.prototype.toJSON = function () {
+  return this.elements
+}