> ## Documentation Index
> Fetch the complete documentation index at: https://fal.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Tools

> Use AI coding assistants to build with fal faster

AI coding assistants work best when they have full context about the tools you are using. fal provides an [MCP](https://modelcontextprotocol.io) server that gives any compatible AI tool access to the complete fal documentation, so your assistant can generate code, debug issues, and discover features without you leaving your editor.

[Model Context Protocol](https://modelcontextprotocol.io) (MCP) is an open protocol that standardizes how applications provide context to LLMs. Any tool that supports MCP can connect to fal's documentation server at `https://docs.fal.ai/mcp`. Today the setup guide below covers Cursor, but the same MCP server works with any compatible client.

## Cursor

Connect your AI assistant to fal's MCP server for full access to 1,000+ models, documentation search, and code generation.

<CardGroup cols={2}>
  <Card title="Claude Code" icon="terminal" href="/documentation/setting-up/mcp#setup">
    One command setup
  </Card>

  <Card title="Claude Desktop" icon="message-bot" href="/documentation/setting-up/mcp#setup">
    JSON config setup
  </Card>

  <Card title="Cursor" icon="code" href="/documentation/setting-up/mcp#setup">
    MCP settings setup
  </Card>

  <Card title="Other Clients" icon="plug" href="/documentation/setting-up/mcp#setup">
    Any MCP-compatible tool
  </Card>
</CardGroup>