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

# Connect Gemini CLI to the Bland MCP server

> Connect Gemini CLI to your Bland account with a settings.json entry.

The Bland MCP server is a hosted, streamable-HTTP server. Every client needs the same two values:

* **URL:** `https://api.bland.ai/v1/mcp`
* **Header:** `Authorization: Bearer YOUR_BLAND_API_KEY`

Get your key from the [dashboard](https://app.bland.ai/dashboard/settings). Setting up a different tool? See all [MCP clients](/integrations/mcp/clients).

## Setup

Add to `~/.gemini/settings.json`:

```json theme={null}
{
  "mcpServers": {
    "bland": {
      "httpUrl": "https://api.bland.ai/v1/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_BLAND_API_KEY"
      }
    }
  }
}
```

In Gemini CLI, run `/mcp` to check the server status and available tools.

## Next steps

<CardGroup cols={2}>
  <Card title="Tool reference" icon="wrench" href="/integrations/mcp/tools">
    Everything the MCP server can do.
  </Card>

  <Card title="Bland MCP Server" icon="circle-info" href="/integrations/mcp/overview">
    Auth, rate limits, and how the server works.
  </Card>
</CardGroup>

Docs for agents: [llms.txt](/llms.txt)