mcp-server-enhancement

Adding MCP tools safely requires strict stdio safety practices—write all output to file-based logging (mcp_server.log) instead of stdout, which is reserved for MCP protocol JSON. Define tools using Pydantic models for type validation, implement asynchronous handlers, and ensure structured error responses that comply with the Model Context Protocol specification.

Use Pydantic models to define request and response schemas, ensuring type safety and validation. Implement asynchronous tool handlers that integrate with existing engine and storage components, follow MCP specification requirements, and enforce file-based logging to prevent stdout contamination that could crash the server.

Yes. Extending an MCP server requires understanding protocol compliance—tools must adhere to MCP specification for seamless communication. This skill guides you through protocol-compliant tool design, including Pydantic-based validation, asynchronous handlers, and structured error responses that maintain server stability.

Implement structured error responses using Pydantic models and route all logging to mcp_server.log instead of stdout. This prevents protocol corruption and server crashes while maintaining clear error diagnostics for debugging and testing your new tool integrations.

Yes. New tools integrate with existing engine and storage components when properly designed. Use Pydantic-based type validation, asynchronous handlers, and file-based logging to ensure new tools coexist safely without compromising stdio or protocol compliance with the existing server.