MCP Google Search Console

mcp-google-search-console-crunchtools

Secure MCP server for Google Search Console. Query search analytics (clicks, impressions, CTR, position), manage sitemaps, inspect URL indexing status, and manage site properties.

[CI] [PyPI] [License: AGPL v3]

Installation

uvx (recommended, zero-install)

claude mcp add mcp-google-search-console-crunchtools \    --env GSC_CLIENT_ID=your_client_id \    --env GSC_CLIENT_SECRET=your_client_secret \    --env GSC_REFRESH_TOKEN=your_refresh_token \    -- uvx mcp-google-search-console-crunchtools

pip

pip install mcp-google-search-console-crunchtools

Container (Podman/Docker)

podman run -d -p 8017:8017 \    --env-file ~/.config/mcp-env/mcp-google-search-console.env \    quay.io/crunchtools/mcp-google-search-console \    --transport streamable-http --host 0.0.0.0

OAuth Setup

This server supports two authentication methods: browser-based OAuth (recommended) and environment variable (fallback).

Option A: Browser-Based OAuth (Recommended)

Browser-based OAuth handles token exchange automatically. When credentials expire, visit the /auth URL and click through Google's consent screen — no manual code exchange needed.

Step 1: Create a Google Cloud OAuth App

1. Go to Google Cloud Console
2. Create a new project (or select an existing one)
3. Navigate to APIs & Services > Library
4. Search for Google Search Console API and click Enable
5. Navigate to APIs & Services > Credentials
6. Click + CREATE CREDENTIALS > OAuth client ID
7. If prompted, configure the OAuth consent screen first:
   • User type: External (or Internal if using Google Workspace)
   • App name: anything (e.g., "MCP Search Console")
   • Scopes: add https://www.googleapis.com/auth/webmasters
   • Test users: add your Google account email
8. Back on Create OAuth client ID:
   • Application type: Web application
   • Name: anything (e.g., "MCP Search Console")
   • Authorized redirect URIs: add your server's callback URL (e.g., https://mcp-gsc.example.com/oauth2callback)
9. Click Create — copy the Client ID and Client Secret

Step 2: Configure and Start

Create an env file:

cat > ~/.config/mcp-env/mcp-google-search-console.env << 'EOF'GSC_CLIENT_ID=your_client_idGSC_CLIENT_SECRET=your_client_secretGSC_CREDENTIALS_DIR=/dataGSC_OAUTH_REDIRECT_URI=https://mcp-gsc.example.com/oauth2callbackEOFchmod 600 ~/.config/mcp-env/mcp-google-search-console.env

Start the server with a persistent volume for credentials:

podman run -d -p 8017:8017 \    --env-file ~/.config/mcp-env/mcp-google-search-console.env \    -v mcp-gsc-data:/data:Z \    quay.io/crunchtools/mcp-google-search-console \    --transport streamable-http --host 0.0.0.0

Step 3: Authenticate

Visit https://mcp-gsc.example.com/auth in your browser. You'll be redirected to Google's consent screen. Grant access and the server will save credentials automatically.

When tokens expire, any tool call will return the /auth URL. Click it to re-authenticate — no container restart needed.

Option B: Environment Variable (Fallback)

If you prefer static credentials or can't expose a callback URL, set GSC_REFRESH_TOKEN in your env file. See the manual OAuth flow below.

export GSC_CLIENT_ID="your_client_id_here"export GSC_CLIENT_SECRET="your_client_secret_here"
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GSC_CLIENT_ID}&redirect_uri=http://127.0.0.1&response_type=code&scope=https://www.googleapis.com/auth/webmasters&access_type=offline&prompt=consent"

curl -s -X POST https://oauth2.googleapis.com/token \    -d "client_id=${GSC_CLIENT_ID}" \    -d "client_secret=${GSC_CLIENT_SECRET}" \    -d "code=PASTE_CODE_HERE" \    -d "grant_type=authorization_code" \    -d "redirect_uri=http://127.0.0.1" | python3 -m json.tool

How it works at runtime

The server checks for credentials in this order:

1. File-based credentials from GSC_CREDENTIALS_DIR/credentials.json (written by the browser-based flow)
2. Environment variable GSC_REFRESH_TOKEN (fallback)

On each API call, the server exchanges the refresh token for a short-lived access token (~1 hour), cached in memory and refreshed automatically. Updated tokens are persisted to the credentials file for reuse across container restarts.

Available Tools (10)

Security

• OAuth2 credentials stored as SecretStr (never logged)
• File-based credentials written with 0o600 permissions (atomic writes)
• Automatic token scrubbing from error messages
• Pydantic input validation with extra="forbid"
• No filesystem access, shell execution, or code evaluation
• TLS certificate validation (httpx default)
• Request timeouts and response size limits
• Built on Hummingbird container images

See SECURITY.md for the full security design document.

Development

uv sync --all-extrasuv run ruff check src testsuv run mypy srcuv run pytest -vgourmand --full .podman build -f Containerfile .

License

AGPL-3.0-or-later