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

# Using Gemini CLI

# Using Gemini CLI with Hologrow

Use Gemini CLI when you want a terminal-first Google Gemini agent that can read your synced Hologrow data over MCP.

## Prerequisites

* At least one data source connected in [Integrations](../marrow-basics/integrations) and syncing in [Data Explorer](../marrow-basics/data-explorer)
* [Gemini CLI](https://github.com/google-gemini/gemini-cli) installed and signed in
* An MCP key from [AI Platforms](../marrow-basics/ai-platforms)

## Step 1: Get Hologrow credentials

From **AI Hub → AI Platforms**:

* MCP server URL: `https://mcp.hologrow.ai/mcp/v1`
* Create an **MCP key** and copy it (shown only once)

See also: [MCP overview](./MCP.md)

## Step 2: Add the Hologrow MCP server

From your project root:

```bash theme={null}
gemini mcp add --transport http --scope project \
  -H "Authorization: Bearer YOUR_MCP_KEY" \
  hologrow "https://mcp.hologrow.ai/mcp/v1"
```

Replace `YOUR_MCP_KEY` with your key from AI Platforms.

* `--transport http` is required for remote streamable HTTP servers (default is stdio).
* `--scope project` writes to `.gemini/settings.json`; use `--scope user` for `~/.gemini/settings.json`.

## Step 3: Reload Gemini CLI

Restart your Gemini CLI session so it loads the new MCP server. You can confirm with:

```bash theme={null}
gemini mcp list
```

## Step 4: Test the connection

```
Show me my Amazon Seller sales for the last 7 days.
```

If Gemini CLI returns real data from your synced accounts, you are connected.

## Optional: config with an environment variable

To avoid storing the key inline, edit the Hologrow entry in settings and reference an env var (supported by Gemini CLI headers interpolation):

```json theme={null}
{
  "mcpServers": {
    "hologrow": {
      "httpUrl": "https://mcp.hologrow.ai/mcp/v1",
      "headers": {
        "Authorization": "Bearer ${HOLOGROW_MCP_KEY}"
      }
    }
  }
}
```

Then export `HOLOGROW_MCP_KEY` in your shell before starting Gemini CLI.

## Security

* Hologrow is **read-only** — it never posts or changes store/ad settings.
* Prefer env-based keys for shared machines or committed project configs.
* Rotate or revoke keys from AI Platforms anytime.

## Related

* [MCP overview](./MCP.md)
* [AI Platforms](../marrow-basics/ai-platforms)
* [Skills](../marrow-basics/skills)