Using Gemini CLI with Marrow

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

Prerequisites

At least one data source connected in Integrations and syncing in Data Explorer
Gemini CLI installed and signed in
An MCP key from AI Platforms

Step 1: Get Marrow credentials

From AI Hub → AI Platforms:

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

Step 2: Add the Marrow MCP server

From your project root:

gemini mcp add --transport http --scope project \
  -H "Authorization: Bearer YOUR_MCP_KEY" \
  marrow "https://mcp.marrow.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:

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 Marrow entry in settings and reference an env var (supported by Gemini CLI headers interpolation):

{
  "mcpServers": {
    "marrow": {
      "httpUrl": "https://mcp.marrow.ai/mcp/v1",
      "headers": {
        "Authorization": "Bearer ${MARROW_MCP_KEY}"
      }
    }
  }
}

Then export MARROW_MCP_KEY in your shell before starting Gemini CLI.

Security

Marrow 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.

Marrow Basics

Features

Marrow Data

MCP

Trust & Safety

Using Gemini CLI

Using Gemini CLI with Marrow

Prerequisites

Step 1: Get Marrow credentials

Step 2: Add the Marrow MCP server

Step 3: Reload Gemini CLI

Step 4: Test the connection

Optional: config with an environment variable

Security

​Using Gemini CLI with Marrow

​Prerequisites

​Step 1: Get Marrow credentials

​Step 2: Add the Marrow MCP server

​Step 3: Reload Gemini CLI

​Step 4: Test the connection

​Optional: config with an environment variable

​Security

​Related

Using Gemini CLI with Marrow

Prerequisites

Step 1: Get Marrow credentials

Step 2: Add the Marrow MCP server

Step 3: Reload Gemini CLI

Step 4: Test the connection

Optional: config with an environment variable

Security

Related