mcp-builder

To build an MCP server for LLM integration, use Python with FastMCP or Node/TypeScript. Define tools with proper naming, schema validation using Pydantic or Zod, and configure transport mechanisms like stdio or streamable HTTP.

The best way to design MCP server tools is to follow best practices for naming, schema validation, and functionality. Ensure robust response formatting, pagination, and error handling to make your agent tools discoverable and reliable.

Yes, this MCP builder guide supports both Python and TypeScript. It covers server implementation using FastMCP for Python and Node for TypeScript, including framework-specific schema validation with Pydantic and Zod.

To evaluate LLM integration with your MCP server, use the provided evaluation framework methodologies. This allows you to create robust evaluations that test how effectively your LLM interacts with the defined external service tools.

You can use stdio or streamable HTTP transport mechanisms for Model Context Protocol servers. Choosing the right transport ensures proper communication between your LLM and the external services exposed via your tools.

Your LLM may struggle to discover tools on your MCP server due to poor naming conventions, inadequate schema validation, or missing response formatting. Following strict server and tool naming best practices ensures robust and discoverable agent tools.