MCP Agent Tracker

# MCP Conversation Tracking - Integration Status ✅ ## 🎯 What We've Accomplished ### 1. **Conversation Tracking System** ✅ - **Client-Agent Interaction Logging**: Automatically tracks all conversations between clients and AI agents - **Database Persistence**: Stores conversations in PostgreSQL with timestamps, session IDs, and metadata - **Background Monitoring**: Continuous system health checks and conversation analytics - **Automatic Metadata Collection**: System information, environment details, and performance metrics ### 2. **MCP Server Integration** ✅ - **6 MCP Tools Available**: - `get_current_weather` - Weather information with conversation tracking - `agent_interaction` - General agent interactions - `get_interaction_history` - Retrieve conversation history - `get_conversation_summary` - Analytics and statistics - `get_system_status` - System health and tool availability - `test_conversation_tracking` - Test the tracking system ### 3. **Docker Integration** ✅ - **PostgreSQL Database**: Running and healthy - **MCP Server Container**: Running and healthy - **Automatic Startup**: Database initialization and health checks - **Environment Configuration**: Production-ready with monitoring ## 🚀 Current Status ### ✅ **Working Components** - MCP server is running successfully in Docker - All 6 tools are properly registered and accessible - Conversation tracking is logging to PostgreSQL database - Background monitoring is active (60-second intervals) - Database connection is stable and healthy ### 🔧 **Recent Fixes Applied** - Fixed FastMCP tool registration issue (`_tool_manager` vs `_tools`) - Resolved async method handling for `list_tools` - Updated MCP configuration for Docker integration - Implemented robust error handling and fallbacks ## 📱 How to Use with Cursor ### 1. **Restart Cursor** After making changes to `.cursor/mcp.json`, restart Cursor to reload the MCP configuration. ### 2. **Check MCP Tools** In Cursor, you should now see the MCP server section with these tools: - `@get_system_status` - Check system health - `@test_conversation_tracking` - Test conversation logging - `@get_current_weather` - Get weather with tracking - `@agent_interaction` - Interact with agent - `@get_interaction_history` - View conversation history - `@get_conversation_summary` - Get analytics ### 3. **Test the Integration** Try using any of the tools in Cursor: ``` @get_system_status @test_conversation_tracking "Hello from Cursor!" @get_interaction_history ``` ## 🗄️ Database Status ### **Current Data** - **Total Interactions**: 93+ (and growing) - **Conversation Types**: client_request, agent_response, conversation_turn, health_check, monitoring_started - **Database**: PostgreSQL running on port 5432 - **Health**: All containers healthy and monitoring active ### **Sample Conversation Data** ```json { "id": 90, "timestamp": "2025-08-27T01:01:10.256084", "type": "conversation_turn", "client_request": "Test message: Hello from Docker!", "agent_response": "This is a test response to: Hello from Docker!", "status": "success" } ``` ## 🔍 Troubleshooting ### **If Tools Don't Appear in Cursor** 1. **Check Docker Status**: `docker-compose ps` 2. **Verify MCP Server**: `docker exec mcp-agent-tracker python -c "from main import get_system_status; print(get_system_status())"` 3. **Check Cursor Configuration**: Ensure `.cursor/mcp.json` is correct 4. **Restart Cursor**: Reload the MCP configuration ### **If Database Issues** 1. **Check PostgreSQL**: `docker-compose logs mcp-postgres` 2. **Verify Connection**: `docker exec mcp-agent-tracker python -c "from main import get_interaction_history; print(get_interaction_history(limit=1))"` 3. **Check Environment**: Ensure all environment variables are set ## 📊 Monitoring & Analytics ### **Real-time Monitoring** - **Health Checks**: Every 60 seconds - **System Status**: Available via `@get_system_status` - **Conversation Analytics**: Available via `@get_conversation_summary` - **Log Files**: Stored in `/app/logs/agent_tracker.log` ### **Background Processes** - **Monitoring Thread**: Active and logging system health - **Database Logging**: Automatic conversation persistence - **Error Handling**: Graceful degradation and error logging ## 🎉 Success Indicators ✅ **MCP Server**: Running and healthy ✅ **Tools Registered**: All 6 tools available ✅ **Database**: PostgreSQL connected and logging ✅ **Conversation Tracking**: Active and working ✅ **Docker Integration**: Containers healthy ✅ **Background Monitoring**: Active (60s intervals) ## 🚀 Next Steps 1. **Test in Cursor**: Restart Cursor and verify tools appear 2. **Use the Tools**: Try `@get_system_status` and `@test_conversation_tracking` 3. **Monitor Conversations**: Use `@get_interaction_history` to see logged data 4. **Customize**: Modify tools or add new conversation tracking features ## 📞 Support If you encounter any issues: 1. Check the Docker logs: `docker-compose logs mcp-agent-tracker` 2. Test individual tools: `docker exec mcp-agent-tracker python -c "from main import get_system_status; print(get_system_status())"` 3. Verify database: `docker exec mcp-agent-tracker python -c "from main import get_interaction_history; print(get_interaction_history(limit=1))"` --- **Status**: 🟢 **FULLY OPERATIONAL** **Last Updated**: 2025-08-27 01:01 UTC **MCP Tools**: 6/6 Available ✅ **Database**: Healthy ✅ **Monitoring**: Active ✅