mcp-builder

Build an MCP server for LLM integration by following a structured four-phase process: research, implementation using TypeScript or Python SDKs, testing, and evaluation. The workflow emphasizes best practices for tool design, response formats, and pagination.

Model Context Protocol servers support Streamable HTTP and stdio transport mechanisms. Selecting the appropriate transport ensures reliable communication between your API server and the integrated LLM tools.

Yes, you can use Python and TypeScript SDKs to develop LLM tools. The guided implementation phase covers using these recommended SDKs to define tools that allow Large Language Models to interact seamlessly with external services.

Create evaluations to test LLM interaction by following the dedicated evaluation framework included in the development process. This testing step ensures the LLM can effectively use your newly built tools during actual operations.

Best practices for MCP tool design involve adhering to core Model Context Protocol design principles, standard naming conventions, and structured response formats. These practices streamline the creation of high-quality servers enabling LLMs to interact with external services.