mcp-builder

To build an MCP server, follow a phase-driven workflow from planning to evaluation using the MCP SDK. This blueprint guides architecture, tool design, transport choices, and validation to deliver production-grade server implementations for LLMs.

The best way to design MCP server tools involves applying strict inputs, outputs, and validation using Zod or Pydantic. Transport choices include stdio and streamable HTTP, with best practices for reliability guiding your architecture decisions.

Yes, the MCP server blueprint supports both Python FastMCP and Node TypeScript MCP SDK implementations. It guides architecture, tool design, and validation across both environments to ensure robust server implementations.

You validate MCP server inputs and outputs by applying strict validation schemas using Zod or Pydantic. This ensures robust tool design and reliable interactions between LLMs and external services throughout the development phases.

Creating a production-grade MCP server follows four phases: planning, implementation, validation, and evaluation. Each phase has concrete milestones to guide architecture decisions, tool naming, transport choices, and testing requirements.

A phase-driven workflow for MCP server development ensures structured progress from planning to evaluation with concrete milestones. This approach enforces strict validation, testing, and best practices to deliver reliable production-grade server implementations.