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https://github.com/bilalmk/todo_correct.git
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fdf30c1a61
Implements Phase III AI-powered chatbot backend architecture: Backend Changes: - Add ChatKit API endpoint (/api/v1/chatkit/chat) with streaming support - Integrate OpenAI Agents SDK with GPT-4 model configuration - Implement Conversation and Message database models with SQLModel - Add comprehensive test coverage (unit, integration, E2E) - Configure environment variables for OpenAI API and MCP server MCP Server Changes: - Migrate to Official MCP SDK with JSON-RPC 2.0 protocol - Implement tool registry pattern for dynamic tool registration - Add natural language parsing for conversational task creation - Enhance response formatting with hybrid approach (natural + structured) - Fix empty string validation and Pydantic datetime serialization Configuration: - Add OPENAI_API_KEY, OPENAI_MODEL, MCP_SERVER_URL to Settings - Add ChatKit message/history limits per constitutional requirements - Validate MCP URL scheme (http/https only) Testing: - Unit tests for ChatKit store and utilities - Integration tests for API, persistence, logging, truncation - E2E tests for workflow and edge cases - Database configuration tests Documentation: - Add verification guides and test results - Document response format standards (CHATKIT_RESPONSE_FORMAT.md) - Record troubleshooting for 500 errors and empty string fixes Satisfies Phase III hackathon requirements: - OpenAI ChatKit UI integration ready - Stateless backend with database state persistence - All 5 MCP tools (add/list/complete/delete/update tasks) - Conversation history storage Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
8.4 KiB
8.4 KiB
Official MCP SDK Migration - Complete
Summary
Successfully migrated from FastMCP to the Official MCP SDK with manual JSON-RPC HTTP implementation.
What Was Changed
1. MCP Server (mcp_server/)
src/todo_mcp/app.py
- Before:
from mcp.server.fastmcp import FastMCP - After:
from mcp.server import Server - Changed from FastMCP wrapper to Official MCP SDK base
Serverclass
src/todo_mcp/server.py (Complete Rewrite)
- Implementation: Manual JSON-RPC 2.0 HTTP server
- Transport: HTTP POST endpoint at
/mcp(instead of SSE) - Protocol: JSON-RPC 2.0 over HTTP
- Features:
- Session management with
Mcp-Session-Idheader - Three core methods:
initialize- Start MCP sessiontools/list- List all 5 MCP toolstools/call- Execute a specific tool
- Health check endpoint at
/health - Proper error handling with JSON-RPC error codes
- Session management with
src/todo_mcp/tools_registry.py (New File)
- Centralized tool registration system
- Tool definitions with schemas for all 5 tools:
todo_add_tasktodo_list_taskstodo_complete_tasktodo_update_tasktodo_delete_task
- Handler routing for tool execution
All Tool Files (src/todo_mcp/tools/*.py)
- Before: Used
@mcp.tool()decorator - After: Use
register_tool()function - Each tool now has:
- A handler function that accepts raw dict arguments
- Pydantic validation via Input models
- Registration with the central registry
2. Backend (backend/)
src/chatkit/mcp_http_client.py
- Simple JSON-RPC HTTP client
- Methods:
initialize()- Initialize MCP sessionlist_tools()- Get available tools- Session management with headers
- Clean async/await API
- Proper connection cleanup
src/chatkit/server.py
- Before: Used
streamable_http_clientfrom MCP SDK - After: Uses
MCPHTTPClient(simple JSON-RPC) - Benefits:
- No protocol incompatibility issues
- Proper context manager cleanup
- No hanging connections
src/api/chatkit.py
- Updated health check to use
/healthendpoint - Simplified HTTP GET instead of full MCP initialization
- Faster response time
Architecture
┌─────────────────────────────────────────────────────────┐
│ Backend (FastAPI) │
│ ┌───────────────────────────────────────────────────┐ │
│ │ ChatKit Server (CustomChatKitServer) │ │
│ │ ┌─────────────────────────────────────────────┐ │ │
│ │ │ MCPHTTPClient │ │ │
│ │ │ (Simple JSON-RPC HTTP Client) │ │ │
│ │ └─────────────────────────────────────────────┘ │ │
│ └───────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
│
│ HTTP POST
│ JSON-RPC 2.0
▼
┌─────────────────────────────────────────────────────────┐
│ MCP Server (Official SDK) │
│ ┌───────────────────────────────────────────────────┐ │
│ │ JSON-RPC Handler (server.py) │ │
│ │ ┌─────────────────────────────────────────────┐ │ │
│ │ │ Tools Registry │ │ │
│ │ │ • todo_add_task │ │ │
│ │ │ • todo_list_tasks │ │ │
│ │ │ • todo_complete_task │ │ │
│ │ │ • todo_update_task │ │ │
│ │ │ • todo_delete_task │ │ │
│ │ └─────────────────────────────────────────────┘ │ │
│ └───────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
│
▼
PostgreSQL Database
Key Benefits
- Compliant with Requirements: Using Official MCP SDK (
mcppackage) - No Protocol Incompatibility: Manual JSON-RPC works with all clients
- Clean Separation: Server uses Official SDK, client uses simple HTTP
- Maintainable: Clear, straightforward JSON-RPC implementation
- Testable: Easy to test with curl or any HTTP client
Testing
MCP Server Test
cd /mnt/e/giaic/learning/spec_kit_plus/todo_correct
python3 test_mcp_jsonrpc.py
Expected output:
- ✅ Initialize: Returns session ID
- ✅ List tools: Returns 5 tools
- ✅ Call tool: Executes todo_list_tasks successfully
Health Check Test
# MCP Server health
curl http://localhost:8001/health
# Backend health (includes MCP connectivity)
curl http://localhost:8000/api/chatkit/health
Expected:
{
"status": "healthy",
"mcp_server": "connected",
"database": "connected"
}
Running the Servers
MCP Server (Port 8001)
cd mcp_server
uv run python -m todo_mcp.server
Backend Server (Port 8000)
cd backend
uv run uvicorn src.main:app --host 0.0.0.0 --port 8000
JSON-RPC Protocol Examples
Initialize
POST http://localhost:8001/mcp
{
"jsonrpc": "2.0",
"id": "1",
"method": "initialize",
"params": {
"protocolVersion": "2024-11-05",
"capabilities": {},
"clientInfo": {"name": "client", "version": "1.0"}
}
}
List Tools
POST http://localhost:8001/mcp
Headers: Mcp-Session-Id: <session-id>
{
"jsonrpc": "2.0",
"id": "2",
"method": "tools/list",
"params": {}
}
Call Tool
POST http://localhost:8001/mcp
Headers: Mcp-Session-Id: <session-id>
{
"jsonrpc": "2.0",
"id": "3",
"method": "tools/call",
"params": {
"name": "todo_list_tasks",
"arguments": {
"user_id": "bded475f-c2e8-4fd8-b616-c260f18d550b",
"status": "all"
}
}
}
Verification
✅ MCP Server running on port 8001 ✅ Backend server running on port 8000 ✅ Health check passing (MCP + Database) ✅ MCP tools registered (5 tools) ✅ JSON-RPC protocol working ✅ Using Official MCP SDK (not FastMCP)
Files Modified
mcp_server/src/todo_mcp/app.py- Server initializationmcp_server/src/todo_mcp/server.py- Complete rewrite with JSON-RPCmcp_server/src/todo_mcp/tools_registry.py- New registry systemmcp_server/src/todo_mcp/tools/add_task.py- Registry patternmcp_server/src/todo_mcp/tools/list_tasks.py- Registry patternmcp_server/src/todo_mcp/tools/complete_task.py- Registry patternmcp_server/src/todo_mcp/tools/update_task.py- Registry patternmcp_server/src/todo_mcp/tools/delete_task.py- Registry patternbackend/src/chatkit/mcp_http_client.py- Simple JSON-RPC clientbackend/src/chatkit/server.py- Use MCPHTTPClientbackend/src/api/chatkit.py- Updated health check
Next Steps
To fully test the chat functionality:
- Start the frontend:
cd frontend && npm run dev - Login to get a JWT token
- Use the
/get-tokenendpoint to retrieve your token - Test the chat endpoint with the token
The system is now fully operational with the Official MCP SDK!