Anthropic Claude API MCP

Use Claude API within Claude — chain AI calls, compare model outputs, and build sophisticated multi-agent workflows.

TRUSTED · Official

AI / ML

// Try it now

"Explain how the reference filesystem MCP server handles path traversal attacks"

! These are reference implementations — not every feature is production-hardened
! Each subfolder is a separate server — you install the specific one you need, not the whole repo
! Breaking changes land with protocol spec updates — pin versions if you depend on them

Setup

Easy Setup

API key or simple config

Token usage

Light usage

// When to use

You're learning how MCP servers work and want to read well-maintained source
You want official reference implementations as a starting point for a custom server
You need a trusted baseline set of tools with known-good behavior
You're debugging an MCP issue and want to test against canonical servers

// When NOT to use

You need niche or third-party integrations not in the reference set
You want production-grade features like auth flows or multi-tenant support
You prefer single-purpose specialized servers for each tool

// Usage Scenarios

Learn by Reading

Clone the repo and read well-documented TypeScript to understand MCP internals.

Example prompt

"Show me how the filesystem server validates paths so I can copy the pattern in my own server"

Canonical Tool Suite

Install the reference bundle to get filesystem, fetch, and git tools with known behavior.

Example prompt

"Set up the reference filesystem and fetch servers so I have a baseline to test against"

Protocol Debugging

Test MCP client behavior against a known-good server.

Example prompt

"Run the reference everything server and verify my MCP client handles resource updates correctly"

// About

Plain English

Imagine you want to teach an AI assistant how to read your files, browse the web, or work with your code — but you don't know where to start. This server is the official starter kit from Anthropic, the company that makes Claude. It's a bundle of small, well-built example tools that show what an AI assistant can do when you give it real capabilities. Inside the bundle you'll find ready-made tools for things like reading folders on your computer, fetching pages from the internet, and running simple commands. Each one is short, clean code you can read top-to-bottom. If you want to understand how AI assistants connect to the outside world — or copy a working example to build your own tool — this is the place to look. For a builder who has never written one of these before, it removes the guessing. You see exactly how a working tool is shaped, you copy the pattern, and you change the parts you need.

The Anthropic Claude API MCP server enables AI assistants to call Claude's API directly, creating powerful multi-agent patterns. Chain AI calls, sample from different models, compare outputs, and build sophisticated workflows where AI orchestrates AI.

Useful for research, evaluation, and building advanced AI pipelines within a single conversation.

GitHub 42.0kUpdated Feb 10, 2025MIT

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