MCP Google Search Console

搜索与获取

by crunchtools

面向 Google Search Console 的安全 MCP 服务器,支持 analytics、sitemaps 与 URL inspection。

什么是 MCP Google Search Console

面向 Google Search Console 的安全 MCP 服务器,支持 analytics、sitemaps 与 URL inspection。

README

mcp-google-search-console-crunchtools

<!-- mcp-name: io.github.crunchtools/google-search-console -->

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)

bash
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

bash
pip install mcp-google-search-console-crunchtools

Container (Podman/Docker)

bash
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 authenticates to Google using OAuth2 with a refresh token. This is a one-time setup — once you have the three credentials, you store them as environment variables and never need to touch OAuth again.

What you need

CredentialWhat it isWhere it comes from
GSC_CLIENT_IDIdentifies your OAuth app to GoogleGoogle Cloud Console
GSC_CLIENT_SECRETSecret key for your OAuth appGoogle Cloud Console
GSC_REFRESH_TOKENLong-lived token that lets the server get access tokensOne-time browser consent flow

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: Desktop app
    • Name: anything (e.g., "MCP Search Console Desktop")
  9. Click Create — copy the Client ID and Client Secret

Step 2: Get a Refresh Token

Run this in your terminal to start the consent flow:

bash
# Set your credentials from Step 1
export GSC_CLIENT_ID="your_client_id_here"
export GSC_CLIENT_SECRET="your_client_secret_here"

# Generate the authorization URL
echo "Open this URL in your browser:"
echo ""
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"
  1. Open the printed URL in your browser
  2. Sign in with the Google account that owns your Search Console properties
  3. Click Allow to grant Search Console access
  4. The browser will redirect to http://127.0.0.1/?code=XXXX&scope=...
  5. This page will fail to load — that's expected. Copy the code= value from the URL bar (everything between code= and &scope)

Now exchange the authorization code for a refresh token:

bash
# Paste the code value from the URL bar (the part between code= and &scope)
AUTH_CODE="paste_your_code_here"

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

The response will include a refresh_token field — copy it. This is the long-lived credential that lets the server authenticate without a browser.

Note: If you don't see refresh_token in the response, add &prompt=consent to the authorization URL and try again. Google only returns the refresh token on the first consent or when explicitly prompted.

Step 3: Store the Credentials

Create an env file:

bash
cat > ~/.config/mcp-env/mcp-google-search-console.env << 'EOF'
GSC_CLIENT_ID=your_client_id
GSC_CLIENT_SECRET=your_client_secret
GSC_REFRESH_TOKEN=your_refresh_token
EOF
chmod 600 ~/.config/mcp-env/mcp-google-search-console.env

How it works at runtime

The server never stores or manages tokens on disk. On each API call:

  1. Server sends the refresh token to Google's token endpoint
  2. Google returns a short-lived access token (valid ~1 hour)
  3. Server uses the access token for the Search Console API call
  4. Access tokens are cached in memory and refreshed automatically when they expire

The refresh token itself never expires unless you explicitly revoke it in your Google Account permissions.

Available Tools (10)

CategoryCountTools
Sites4list_sites, get_site, add_site, delete_site
Search Analytics1query_search_analytics
Sitemaps4list_sitemaps, get_sitemap, submit_sitemap, delete_sitemap
URL Inspection1inspect_url

Security

  • OAuth2 credentials stored as SecretStr (never logged)
  • Environment-variable-only credential storage
  • 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

bash
uv sync --all-extras
uv run ruff check src tests
uv run mypy src
uv run pytest -v
gourmand --full .
podman build -f Containerfile .

License

AGPL-3.0-or-later

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