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MCP Builder

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Design and build standards-compliant Model Context Protocol servers for AI agents.

What it does

This skill provides a structured framework for developing Model Context Protocol (MCP) servers. It helps organize the process of connecting external services and APIs to your agent environment, ensuring that tools remain discoverable and functional for the model.

By following this guidance, you can define clear input schemas, implement consistent naming conventions, and structure your server architecture to support robust error handling and pagination. It is designed for developers who need to bridge their data or external services into the MCP ecosystem using either Python or TypeScript.

When it earns its place

Reach for it when…

Apply this when you have an existing API or dataset and need to expose its functionality to an AI assistant as a set of callable tools. It is most effective when preparing for the initial project setup, defining your interface requirements, or determining how to map API endpoints to specific agent-accessible operations.

Look elsewhere when…

This skill does not handle the underlying authentication logic for your specific third-party APIs, nor does it provide a hosting environment for your server once built. If you are looking for general code debugging or refactoring of existing logic that is unrelated to the MCP specification, this guidance is not suitable.

What to say to use it

You never invoke a skill directly — the assistant picks it up when your request matches what it covers. These are the kinds of things that do that.

  • How should I structure a new MCP server for my API?
  • Show me the standard pattern for defining tools in Python
  • What are the best practices for naming MCP tool inputs?
  • Help me plan the architecture for an MCP server that talks to GitHub

Install it

Install for all your projects

Copy the skill directory into your personal skills folder. Claude picks it up on its own the next time your request matches what it does — there is nothing to enable.

bash
git clone --depth 1 --branch main https://github.com/anthropics/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -r /tmp/skills/skills/mcp-builder ~/.claude/skills/mcp-builder

Install for one project only

Put it in the project's own skills folder instead, so it can be committed and shared with everyone working on that repository.

bash
cp -r /tmp/skills/skills/mcp-builder .claude/skills/mcp-builder

If a skill of the same name exists in both places, the personal one wins.

Installing on Claude.ai or through the API instead? The full guide covers every surface.

Pair it with an MCP server

MCP Builder changes how the work is done. These servers change what Claude can reach while doing it.

How skills and MCP servers differ →