Initial commit: Complete Hive distributed AI orchestration platform
This comprehensive implementation includes: - FastAPI backend with MCP server integration - React/TypeScript frontend with Vite - PostgreSQL database with Redis caching - Grafana/Prometheus monitoring stack - Docker Compose orchestration - Full MCP protocol support for Claude Code integration Features: - Agent discovery and management across network - Visual workflow editor and execution engine - Real-time task coordination and monitoring - Multi-model support with specialized agents - Distributed development task allocation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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mcp-server/dist/hive-resources.d.ts
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mcp-server/dist/hive-resources.d.ts
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/**
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* Hive Resources
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*
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* Defines MCP resources that expose Hive cluster state and real-time data
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*/
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import { Resource } from '@modelcontextprotocol/sdk/types.js';
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import { HiveClient } from './hive-client.js';
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export declare class HiveResources {
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private hiveClient;
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constructor(hiveClient: HiveClient);
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getAllResources(): Promise<Resource[]>;
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readResource(uri: string): Promise<{
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contents: Array<{
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type: string;
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text?: string;
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data?: string;
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mimeType?: string;
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}>;
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}>;
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private getClusterStatusResource;
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private getAgentsResource;
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private getActiveTasksResource;
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private getCompletedTasksResource;
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private getWorkflowsResource;
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private getExecutionsResource;
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private getMetricsResource;
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private getCapabilitiesResource;
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private groupAgentsBySpecialty;
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private formatTaskForResource;
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private analyzeTaskQueue;
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private calculateTaskMetrics;
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private summarizeExecutionStatuses;
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private calculateDuration;
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}
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//# sourceMappingURL=hive-resources.d.ts.map
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