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MCP Google Search Console

crunchtools/mcp-google-search-console
6 toolsSTDIOregistry active
Summary

Connects Claude to Google Search Console's API with OAuth2 refresh token auth. You get ten tools covering the main GSC workflows: query search analytics for clicks, impressions, CTR, and position data; manage sitemaps (list, submit, delete); inspect URL indexing status; and handle site property administration. Built by crunchtools with security-focused design (credentials as SecretStr, automatic token scrubbing, Pydantic validation). Setup requires a one-time OAuth flow to generate a refresh token, then the server handles access token rotation automatically. Useful when you're building SEO dashboards, automating sitemap submissions, or investigating indexing issues without leaving your chat context.

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Tools

Public tool metadata for what this MCP can expose to an agent.

6 tools
GOOGLE_SEARCH_CONSOLE_GET_SITEMAPRetrieves information about a specific sitemap for a site.2 params

Retrieves information about a specific sitemap for a site.

Parameters* required
feedpathstring
The URL of the sitemap to retrieve. For example: https://www.example.com/sitemap.xml
site_urlstring
The site's URL, including protocol. For example: https://www.example.com/
GOOGLE_SEARCH_CONSOLE_INSPECT_URLInspects a URL for indexing issues and status in Google Search Console.4 params

Inspects a URL for indexing issues and status in Google Search Console.

Parameters* required
urlstring
The URL to inspect. For example: https://www.example.com/page
site_urlstring
The site's URL, including protocol. For example: https://www.example.com/
language_codestring
The language code of the page. For example: en-USdefault: en-US
inspection_urlstring
The URL of the property as defined in Search Console. For example: https://www.example.com/
GOOGLE_SEARCH_CONSOLE_LIST_SITEMAPSLists all sitemaps for a site in Google Search Console.2 params

Lists all sitemaps for a site in Google Search Console.

Parameters* required
site_urlstring
The site's URL, including protocol. For example: https://www.example.com/
sitemap_indexstring
The sitemap index to start listing from. Used for pagination.
GOOGLE_SEARCH_CONSOLE_LIST_SITESLists all sites owned by the authenticated user in Google Search Console.

Lists all sites owned by the authenticated user in Google Search Console.

No parameter schema in public metadata yet.

GOOGLE_SEARCH_CONSOLE_SEARCH_ANALYTICS_QUERYQueries Google Search Console for search analytics data including clicks, impressions, CTR, and position metrics.10 params

Queries Google Search Console for search analytics data including clicks, impressions, CTR, and position metrics.

Parameters* required
end_datestring
The end date of the date range for the query, in YYYY-MM-DD format.
site_urlstring
The site's URL, including protocol. For example: https://www.example.com/
row_limitinteger
The maximum number of rows to return. Must be between 1 and 5000.default: 1000
start_rowinteger
The first row to return from the result set. Used for pagination.default: 0
data_statestring
The data state to return. Possible values: final, alldefault: final
dimensionsarray
The dimensions to group the data by. Possible values: query, page, country, device, date
start_datestring
The start date of the date range for the query, in YYYY-MM-DD format.
search_typestring
The search type to filter by. Possible values: web, video, image, newsdefault: web
aggregation_typestring
How data is aggregated. Possible values: auto, byPropertydefault: auto
dimension_filter_groupsarray
Filters to apply to the dimensions. Each filter group contains dimension filters.
GOOGLE_SEARCH_CONSOLE_SUBMIT_SITEMAPSubmits a sitemap to Google Search Console for indexing.2 params

Submits a sitemap to Google Search Console for indexing.

Parameters* required
feedpathstring
The URL of the sitemap to submit. For example: https://www.example.com/sitemap.xml
site_urlstring
The site's URL, including protocol. For example: https://www.example.com/

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_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.

Manual OAuth flow
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=${GSC_CLIENT_ID}&redirect_uri=http://127.0.0.1&response_type=code&scope=https://www.googleapis.com/auth/webmasters&access_type=offline&prompt=consent"
  1. Open the URL in your browser, sign in, and click Allow
  2. Copy the code= value from the redirect URL
  3. Exchange the code:
curl -s -X POST https://oauth2.googleapis.com/token \
    -d "client_id=${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
  1. Copy the refresh_token from the response and add GSC_REFRESH_TOKEN=... to your env file.

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)

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)
  • 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-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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Categories
Search & Web CrawlingMonitoring & Observability
Registryactive
Packagemcp-google-search-console-crunchtools
TransportSTDIO
UpdatedMar 3, 2026
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