mcp-builder

Production-grade MCP servers require structured tool definitions, rigorous input validation, robust error handling, and security considerations. This guide specifies these best practices alongside evaluation methodologies to ensure reliable, scalable MCP services.

Structure an MCP server project by following a phase-based guide from planning to evaluation. It provides cross-language support for Python FastMCP and Node/TypeScript MCP SDK environments, including project structure, tooling patterns, and testing strategies.

Yes, this guide supports both Python FastMCP and Node/TypeScript MCP SDK environments. It provides cross-language example patterns, reusable templates, and best practices for tooling, validation, transport, and testing in both stacks.

Test and evaluate an MCP server locally by running an initial test using the evaluator harness. The guide covers evaluation methodologies and testing strategies from Phase 1 through Phase 4 to validate reliable, production-grade integrations.

The workflow for implementing an MCP server spans Phase 1 through Phase 4, covering project structure, tooling patterns, validation, transport, and testing. It provides a complete, production-grade implementation guide from planning to final evaluation.

MCP servers often lack structured best practices and tooling, making reliable production-grade integrations difficult. Applying rigorous input validation, structured tool definitions, and standardized error handling resolves these reliability and scaling gaps.