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

# Build with AI agents

> Connect AI agents to the Andi docs via MCP, llms.txt, and markdown content negotiation. Optimized for Claude Code, Cursor, VS Code, and other AI tools.

This documentation site is built for AI agents. Every page is available as clean markdown, and the site exposes an MCP server and llms.txt for programmatic discovery.

## MCP server

The docs site runs a [Model Context Protocol](https://modelcontextprotocol.io/) server that lets AI tools search and read documentation directly.

**Server URL:** `https://docs.andiai.com/mcp`

### Claude Code

```bash theme={null}
claude mcp add andi-docs --transport streamable-http https://docs.andiai.com/mcp
```

### Claude web and desktop

Add this to your MCP server settings:

```json theme={null}
{
  "mcpServers": {
    "andi-docs": {
      "url": "https://docs.andiai.com/mcp"
    }
  }
}
```

### Cursor

Add to your `.cursor/mcp.json`:

```json theme={null}
{
  "mcpServers": {
    "andi-docs": {
      "url": "https://docs.andiai.com/mcp"
    }
  }
}
```

### VS Code

Add to your VS Code settings (JSON):

```json theme={null}
{
  "mcp": {
    "servers": {
      "andi-docs": {
        "type": "http",
        "url": "https://docs.andiai.com/mcp"
      }
    }
  }
}
```

## llms.txt

The site publishes [llms.txt](https://llmstxt.org/) files that list all documentation pages with direct markdown URLs.

| File                                                      | Contents                                         |
| --------------------------------------------------------- | ------------------------------------------------ |
| [`/llms.txt`](https://docs.andiai.com/llms.txt)           | Page titles and descriptions with markdown links |
| [`/llms-full.txt`](https://docs.andiai.com/llms-full.txt) | Full page content inlined as markdown            |

Use `/llms.txt` for discovery and navigation. Use `/llms-full.txt` when you need the complete documentation in a single request.

## Markdown content negotiation

Any docs page returns clean markdown when requested with the `Accept: text/markdown` header. The markdown response is \~30x smaller than HTML and includes YAML frontmatter.

```bash theme={null}
curl -H "Accept: text/markdown" https://docs.andiai.com/getting-started/quickstart
```

The response includes headers for automated discovery:

* `Link` headers pointing to `/llms.txt` and `/llms-full.txt`
* `X-Llms-Txt` header with the llms.txt URL

## LLM-ready search responses

The Search API supports a `format=context` parameter that returns results as markdown optimized for LLM context windows. See [response format](/features/response-format) for details.

## AI crawler access

The site's `robots.txt` explicitly allows AI crawlers including GPTBot, ClaudeBot, and PerplexityBot.

## Next steps

<CardGroup cols={2}>
  <Card title="AI agent tool example" icon="robot" href="/examples/ai-agent-tool">
    Define Andi search as a tool for an AI agent.
  </Card>

  <Card title="Quickstart" icon="rocket" href="/getting-started/quickstart">
    Make your first API call.
  </Card>
</CardGroup>