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

# Docs MCP

> Connect these docs to Claude Code, Cursor, or VS Code so your AI assistant can search and read every page.

The docs have their own connector, which lets an AI coding assistant search and read every page when it needs to. Ask it to build something with Orbbit's API, and it looks up the right endpoints, parameters, and fields as it goes.

It uses MCP (Model Context Protocol), the standard way AI tools plug into outside sources. This connector only reads the docs. To have your assistant fetch Orbbit data, use the [Data MCP](/for-agents/data-mcp).

Connector address: `https://docs.orbbit.co/mcp`

<Tabs>
  <Tab title="Claude Code">
    ```bash theme={null}
    claude mcp add --transport http orbbit-docs https://docs.orbbit.co/mcp
    ```
  </Tab>

  <Tab title="Cursor">
    Add this to `.cursor/mcp.json` in your project:

    ```json theme={null}
    {
      "mcpServers": {
        "orbbit-docs": { "url": "https://docs.orbbit.co/mcp" }
      }
    }
    ```
  </Tab>

  <Tab title="VS Code">
    Add this to `.vscode/mcp.json` in your project:

    ```json theme={null}
    {
      "servers": {
        "orbbit-docs": { "type": "http", "url": "https://docs.orbbit.co/mcp" }
      }
    }
    ```
  </Tab>
</Tabs>

You can also open the menu at the top of any page and choose your tool to connect it in one click.

If your tool doesn't support connectors, give it the [plain-text copy of the docs](/for-agents/llms-txt) instead. That page also has a starter prompt to paste in once the docs are connected.

<Note>
  Your assistant still needs an API key to make real calls. Every account comes with one. See [Authentication](/authentication).
</Note>