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.
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
- Go to Google Cloud Console
- Create a new project (or select an existing one)
- Navigate to APIs & Services > Library
- Search for Google Search Console API and click Enable
- Navigate to APIs & Services > Credentials
- Click + CREATE CREDENTIALS > OAuth client ID
- 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
- 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)
- 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_id
GSC_CLIENT_SECRET=your_client_secret
GSC_CREDENTIALS_DIR=/data
GSC_OAUTH_REDIRECT_URI=https://mcp-gsc.example.com/oauth2callback
EOF
chmod 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=${GSC_CLIENT_ID}&redirect_uri=http://127.0.0.1&response_type=code&scope=https://www.googleapis.com/auth/webmasters&access_type=offline&prompt=consent"
- Open the URL in your browser, sign in, and click Allow
- Copy the
code=value from the redirect URL - Exchange the code:
curl -s -X POST https://oauth2.googleapis.com/token \
-d "client_id=${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
- Copy the
refresh_tokenfrom the response and addGSC_REFRESH_TOKEN=...to your env file.
How it works at runtime
The server checks for credentials in this order:
- File-based credentials from
GSC_CREDENTIALS_DIR/credentials.json(written by the browser-based flow) - 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)
| Category | Count | Tools |
|---|---|---|
| Sites | 4 | list_sites, get_site, add_site, delete_site |
| Search Analytics | 1 | query_search_analytics |
| Sitemaps | 4 | list_sitemaps, get_sitemap, submit_sitemap, delete_sitemap |
| URL Inspection | 1 | inspect_url |
Security
- OAuth2 credentials stored as
SecretStr(never logged) - File-based credentials written with
0o600permissions (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-extras
uv run ruff check src tests
uv run mypy src
uv run pytest -v
gourmand --full .
podman build -f Containerfile .
License
常见问题
MCP Google Search Console 是什么?
面向 Google Search Console 的安全 MCP 服务器,支持 analytics、sitemaps 与 URL inspection。
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