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

# Connect your AI assistant

> Add Anchorage Digital docs to your AI tools through the hosted MCP server.

Connect our documentation to your AI assistant so it can answer questions and generate integration code grounded in the current docs. Anchorage Digital hosts a Model Context Protocol (MCP) server for this site.

## What the docs MCP server does

The MCP server lets your assistant search these docs and read pages on demand. It's read-only documentation knowledge—it can't access your account, keys, or funds, and it can't move assets. To take actions, your integration calls the REST API with your own scoped keys.

| Server             | URL                                     | Use for                                                       |
| :----------------- | :-------------------------------------- | :------------------------------------------------------------ |
| Public docs        | `https://docs.anchorage.com/mcp`        | Public documentation                                          |
| Authenticated docs | `https://docs.anchorage.com/authed/mcp` | Documentation restricted to your account, after OAuth sign-in |

## Quick install

The fastest path is the one-line installer, which detects your installed tools:

```bash theme={null}
npx add-mcp https://docs.anchorage.com/mcp
```

You can also open the AI menu at the top of any docs page and choose an install option, such as Cursor, VS Code, or Copy MCP.

## Set up by tool

### Claude Code

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

### Claude Desktop and Claude web

<Steps>
  <Step title="Open connector settings">
    In Settings, select **Connectors**, then select **Add custom connector**.
  </Step>

  <Step title="Add the server">
    Enter a name and the URL `https://docs.anchorage.com/mcp`, then save.
  </Step>
</Steps>

### Cursor

Add the server to `mcp.json`:

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

### VS Code (GitHub Copilot)

Add the server to `.vscode/mcp.json`:

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

### ChatGPT and other clients

In any client that supports custom MCP connectors, add a new connector with the URL `https://docs.anchorage.com/mcp`. To include documentation restricted to your account, use `https://docs.anchorage.com/authed/mcp` and sign in when prompted.

<Note>
  The docs MCP server provides documentation only. It never has access to your API keys or the ability to move assets. See [AI security and guardrails](/knowledge-base/build-with-ai/security).
</Note>

## Next steps

With your assistant connected, start from a [ready-made prompt](/knowledge-base/build-with-ai/prompts), or review the [security guardrails](/knowledge-base/build-with-ai/security) before you write code that moves assets.