🎉 Complete CCLI Integration: Phase 4 (MCP Server Updates)

IMPLEMENTATION COMPLETE: Successfully integrated Google Gemini CLI as
mixed agent type in Hive distributed AI platform.

## Phase 4 Achievements:
✅ Enhanced MCP tools with CLI agent support
✅ Added hive_register_cli_agent, hive_get_cli_agents tools
✅ Updated HiveClient interface for CLI agent management
✅ Mixed agent type coordination via MCP
✅ Comprehensive error handling and user feedback

## Key Features:
- CLI agent registration with health checks
- Mixed agent dashboard (🤖 Ollama + ⚡ CLI)
- Predefined agent quick setup (walnut-gemini, ironwood-gemini)
- SSH-based task execution with connection pooling
- Complete backward compatibility

## Technical Stack:
- MCP Tools: CLI agent management interface
- HiveClient: Enhanced API client with CLI support
- TypeScript: Full type safety for mixed agent operations
- Error Handling: Comprehensive CLI connectivity validation

## Production Ready:
✅ 16 MCP tools with CLI agent coverage
✅ Mixed agent type task coordination
✅ Health monitoring and statistics collection
✅ Robust SSH execution with timeout handling
✅ Integration tested and validated

Ready for hybrid AI orchestration: 5 Ollama + 2 CLI agents

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

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

backend/app/models/agent.py

@@ -1,4 +1,4 @@
-from sqlalchemy import Column, Integer, String, DateTime
+from sqlalchemy import Column, Integer, String, DateTime, JSON
 from sqlalchemy.sql import func
 from ..core.database import Base
 
@@ -11,5 +11,21 @@ class Agent(Base):
     specialty = Column(String, nullable=False)
     max_concurrent = Column(Integer, default=2)
     current_tasks = Column(Integer, default=0)
+    agent_type = Column(String, default="ollama")  # "ollama" or "cli"
+    cli_config = Column(JSON, nullable=True)  # CLI-specific configuration
     created_at = Column(DateTime(timezone=True), server_default=func.now())
-    updated_at = Column(DateTime(timezone=True), onupdate=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())
+    
+    def to_dict(self):
+        return {
+            "id": self.id,
+            "endpoint": self.endpoint,
+            "model": self.model,
+            "specialty": self.specialty,
+            "max_concurrent": self.max_concurrent,
+            "current_tasks": self.current_tasks,
+            "agent_type": self.agent_type,
+            "cli_config": self.cli_config,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "updated_at": self.updated_at.isoformat() if self.updated_at else None
+        }