Atlas Docs MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with documentation for libraries and frameworks.

[!WARNING] Atlas Docs is currently in beta. Not everything might work perfectly, but we're actively improving the service. Your patience and feedback are greatly appreciated!

What Does This Server Do?

LLMs are great at generating general code, but suck at correctly using less popular or newly released libraries. This isn't surprising, since the models have not been trained comprehensively on code using these libraries.

Atlas Docs MCP server:

• Provides technical documentation for libraries and frameworks
• Processes the official docs into a clean markdown version for LLM consumption
• Is easy to set up with Cursor, Cline, Windsurf and any other MCP-compatible LLM clients

Claude 3.5 Sonnet on its own:

Claude 3.5 Sonnet with Atlas Docs MCP:

📦 Installation

Atlas Docs MCP server works with any MCP client that supports the stdio protocol, including:

• Cursor
• Cline
• Windsurf
• Claude Desktop

Add the following to your MCP client configuration file:

{
  "mcpServers": {
    "atlas-docs": {
      "command": "npx",
      "args": ["-y", "@cartographai/atlas-docs-mcp"]
    }
  }
}

That's it! You may need to restart the app (for Claude Desktop) for the server to be recognised.

Tip: Prompt your model to check the docs eg. "Use the tools to check the documentation for Astro to ensure that you use the library correctly."

Installing via Smithery

Alternatively, you can install Atlas Docs MCP automatically via Smithery. Example for claude desktop:

npx -y @smithery/cli install @CartographAI/atlas-docs-mcp --client claude

Change "claude" to "cursor", "cline" or "windsurf" for the respective clients.

📒 Available Libraries

• AI-SDK (source: https://sdk.vercel.ai/docs/introduction)
• Astro (source: https://docs.astro.build/en/getting-started)
• ast-grep (source: https://ast-grep.github.io/llms.txt)
• Bun (source: https://bun.sh/llms.txt)
• CrewAI (source: https://docs.crewai.com/llms.txt)
• Drizzle (source: https://orm.drizzle.team/llms.txt)
• ElevenLabs (source: https://elevenlabs.io/docs/llms.txt)
• Fireworks (source: https://docs.fireworks.ai/llms.txt)
• Hono (source: https://hono.dev/llms.txt)
• Langgraph-js (source: https://langchain-ai.github.io/langgraphjs/llms.txt)
• Langgraph-py (source: https://langchain-ai.github.io/langgraph/llms.txt)
• Mastra (source: https://mastra.ai/llms.txt)
• ModelContextProtocol (source: https://modelcontextprotocol.io/llms.txt)
• Pglite (source: https://pglite.dev/docs/about)
• Prisma (source: https://www.prisma.io/docs/llms.txt)
• Resend (source: https://resend.com/docs/llms.txt)
• shadcn/ui (source: https://ui.shadcn.com/docs)
• Stripe (source: https://docs.stripe.com/llms.txt)
• Svelte (source: https://svelte.dev/docs/svelte/overview)
• SvelteKit (source: https://svelte.dev/docs/kit/introduction)
• tailwindcss (source: https://tailwindcss.com/docs/installation)
• TanStack-Router (source: https://tanstack.com/router/latest/docs/framework/react/overview)
• Trigger.dev (source: https://trigger.dev/docs/llms.txt)
• X (source: https://docs.x.com/llms.txt)
• Zapier (source:

... View full README on GitHub