Open Google MCP

A read-only Model Context Protocol (MCP) server for Google Ads (via GAQL) and Search Console. Designed for AI assistants and LLM agents to safely read campaign performance, search analytics, and more.

Tools

Manager Account Auto-Routing

If search targets a manager (MCC) account and finds no data directly, it automatically:

1. Detects the account is a manager

2. Finds child accounts

3. Runs the query on each child

4. Returns combined results with _source_customer_id marking which account each row belongs to

Related MCP server: Google Ads - AdLoop

Setup

Prerequisites (both paths)

• A Google Ads developer token (apply via Google Ads API Center)

• Google Cloud service account with both APIs enabled:

  • Google Ads API

  • Search Console API

Option A: Docker (recommended — no Python required)

1. Clone

git clone https://github.com/ceotind/open-google-mcp.git
cd open-google-mcp

2. Create and authorize a service account

A single service account authenticates both Google Ads and Search Console.

1. Go to GCP Console → APIs & Services → Credentials → Create Credentials → Service Account

2. Download the JSON key file, then copy these fields into .env:

   • GOOGLE_SERVICE_ACCOUNT_EMAIL

   • GOOGLE_SERVICE_ACCOUNT_KEY (the private_key — keep the \n escapes)

   • GOOGLE_SERVICE_ACCOUNT_KEY_ID

   • GOOGLE_SERVICE_ACCOUNT_CLIENT_ID

   • GOOGLE_SERVICE_ACCOUNT_PROJECT_ID

3. Google Ads: add the service account email in your manager account (Settings → Account access → Service account users)

4. Search Console: add the same email to your property (Settings → Users and permissions → Add user, grant Full access)

3. Configure .env

cp .env.example .env
# Edit .env with the service account values + developer token

4. Build and run

docker compose build
docker compose run --rm open-google-mcp

5. MCP client config

All configs point to the project directory (where .env lives):

Claude Desktop:

{
  "mcpServers": {
    "open-google-mcp": {
      "command": "docker",
      "args": ["compose", "run", "--rm", "open-google-mcp"],
      "workdir": "/path/to/open-google-mcp"
    }
  }
}

opencode:

{
  "mcp": {
    "open-google-mcp": {
      "type": "local",
      "command": ["docker", "compose", "run", "--rm", "open-google-mcp"],
      "workdir": "/path/to/open-google-mcp",
      "enabled": true
    }
  }
}

Cursor:

• Name: open-google-mcp

• Type: command

• Command: docker compose run --rm open-google-mcp

• Working directory: /path/to/open-google-mcp

Option B: Python (local install)

1. Clone and install

git clone https://github.com/ceotind/open-google-mcp.git
cd open-google-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

2. Create and authorize a service account

Same steps as Option A above — a single service account works for both Ads and GSC.

1. Go to GCP Console → APIs & Services → Credentials → Create Credentials → Service Account

2. Download the JSON key file, then copy these fields into .env:

   • GOOGLE_SERVICE_ACCOUNT_EMAIL

   • GOOGLE_SERVICE_ACCOUNT_KEY

   • GOOGLE_SERVICE_ACCOUNT_KEY_ID

   • GOOGLE_SERVICE_ACCOUNT_CLIENT_ID

   • GOOGLE_SERVICE_ACCOUNT_PROJECT_ID

3. Google Ads: add the service account email in your manager account

4. Search Console: add the same email to your property with Full access

3. Configure .env

cp .env.example .env

4. Run

source .venv/bin/activate
source .env
python -m open_google_mcp

5. MCP client config

Claude Desktop:

{
  "mcpServers": {
    "open-google-mcp": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/open-google-mcp",
        "run", "python", "-m", "open_google_mcp"
      ],
      "env": {
        "GOOGLE_ADS_DEVELOPER_TOKEN": "your_token",
        "GOOGLE_SERVICE_ACCOUNT_EMAIL": "your-sa@project.iam.gserviceaccount.com",
        "GOOGLE_SERVICE_ACCOUNT_KEY": "-----BEGIN PRIVATE KEY-----\\n...\\n-----END PRIVATE KEY-----\\n",
        "GOOGLE_SERVICE_ACCOUNT_KEY_ID": "your_key_id",
        "GOOGLE_SERVICE_ACCOUNT_CLIENT_ID": "your_client_id",
        "GOOGLE_SERVICE_ACCOUNT_PROJECT_ID": "your_project_id"
      }
    }
  }
}

Or use the wrapper script (loads .env automatically):

{
  "mcpServers": {
    "open-google-mcp": {
      "command": "/path/to/open-google-mcp/server.sh"
    }
  }
}

opencode:

{
  "mcp": {
    "open-google-mcp": {
      "type": "local",
      "command": ["/path/to/open-google-mcp/server.sh"],
      "enabled": true
    }
  }
}

Cursor:

• Name: open-google-mcp

• Type: command

• Command: uv --directory /path/to/open-google-mcp run python -m open_google_mcp

• Env vars: All GOOGLE_ADS_DEVELOPER_TOKEN + GOOGLE_SERVICE_ACCOUNT_* variables

Usage Examples

List Ads accounts

list_accessible_customers

Discover fields for a resource

get_resource_metadata(resource_name="campaign")

Get active search campaigns with performance

search(
  customer_id="1234567890",
  resource="campaign",
  fields=["campaign.id", "campaign.name", "campaign.status",
          "campaign.advertising_channel_type", "metrics.clicks",
          "metrics.impressions", "metrics.cost_micros"],
  conditions=["campaign.status = 'ENABLED'",
              "segments.date DURING LAST_30_DAYS"],
  orderings=["metrics.clicks DESC"],
  limit=10
)

Get child accounts under a manager

search(
  customer_id="1234567890",
  resource="customer_client",
  fields=["customer_client.id", "customer_client.descriptive_name", "customer_client.manager"]
)

Google Search Console — Usage Examples

List GSC properties

gsc_list_properties

Get search analytics

gsc_get_search_analytics(
  site_url="https://example.com",
  days=28,
  dimensions="query",
  row_limit=10
)

Get performance overview

gsc_get_performance_overview(
  site_url="https://example.com",
  days=28
)

Compare two time periods

gsc_compare_search_periods(
  site_url="https://example.com",
  period1_start="2025-01-01",
  period1_end="2025-01-31",
  period2_start="2025-02-01",
  period2_end="2025-02-28",
  dimensions="query",
  limit=10
)

Advanced analytics with filters

gsc_get_advanced_search_analytics(
  site_url="https://example.com",
  dimensions="query,device",
  search_type="WEB",
  row_limit=50,
  sort_by="impressions",
  sort_direction="descending",
  filters='[{"dimension":"country","operator":"equals","expression":"usa"}]'
)

Inspect a URL

gsc_inspect_url(
  site_url="https://example.com",
  page_url="https://example.com/blog/post"
)

List sitemaps

gsc_get_sitemaps(site_url="https://example.com")

GAQL Tips

• Field names must be fully qualified: campaign.id, not id

• Date format: YYYY-MM-DD with dashes

• Relative dates: DURING LAST_7_DAYS, LAST_30_DAYS, THIS_MONTH, THIS_QUARTER

• For change_event resource, limit must be ≤ 10000

• Conditions are AND-combined

• Use get_resource_metadata first to discover valid fields

License

MIT