mcp-builder

Build an MCP server for LLM integration by following a structured process of research, implementation, and evaluation. This guides Python and Node/TypeScript development with best practices for tool design, actionable error messaging, and limited context optimization.

The Model Context Protocol (MCP) is a framework enabling LLMs to interact with external services and APIs. You need an MCP server when a Large Language Model must interact with external systems, such as querying a company's internal project management API.

Yes, you can implement an MCP server using Python and TypeScript. The framework provides detailed language-specific guidance, including Python implementation using FastMCP and Node/TypeScript server implementations for connecting LLMs to external services.

Evaluate MCP server effectiveness using the included evaluation framework and script. This allows you to create and run evaluations to test server effectiveness, ensuring the LLM integration handles external API interactions correctly within limited contexts.

Best practices for LLM tool design emphasize building for workflows, optimizing for limited context, and designing actionable error messages. Following these agent-centric design principles ensures the MCP server provides clear, actionable feedback during external service interactions.