mcp-builder

To build an MCP server for API integrations, follow implementation patterns for TypeScript and Python that register tools with strict input schemas, handle transport selection, and manage pagination. This ensures LLMs reliably interact with external services.

The difference between stdio and streamable HTTP transports for MCP servers involves how connections are managed: stdio is typically used for local agent workflows, while streamable HTTP supports broader API integrations. Transport selection depends on your specific use case.

Yes, you can use Python and TypeScript to create MCP servers. The guide provides detailed implementation patterns for both languages, utilizing Pydantic schemas for Python and Zod schemas for TypeScript to ensure strict input validation.

To test and evaluate LLM interactions with an MCP server, use the provided evaluation harness and example evaluation files. You can build stable, verifiable evaluation suites with read-only QA pairs to measure how well the LLM uses the server.

Best practices for MCP server tool naming and error handling include applying design guidance for actionable error messages and proper context management. Following these patterns ensures the server remains stable and the LLM receives clear, operational feedback.

Building an MCP server does not require manual schema validation if you use Zod for TypeScript or Pydantic for Python. These frameworks enforce strict input schemas automatically, reducing errors in API integrations and tooling workflows.