GSC MCP Server

GSC MCP Server

Connects MCP clients to the Google Search Console API, enabling search analytics queries, URL inspection, sitemap management, and performance comparison across time periods.

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README

GSC MCP Server

MCP Python License

A Model Context Protocol (MCP) server that connects Claude Desktop (and other MCP clients) to the Google Search Console API — query search analytics, inspect URLs, manage sitemaps, and compare performance across time periods.

Based on MCP-GSC by Amin Foroutan, with enhancements for lazy imports, data state control, multi-filter support, and additional tools.

Features

20 Search Console Tools

Search Analytics:

Tool Description
list_properties List all GSC properties accessible by the authenticated account
get_search_analytics Search analytics with dimensions (query, page, device, country, date)
get_advanced_search_analytics Advanced analytics with sorting, filtering, pagination (up to 25K rows)
get_performance_overview Performance summary with daily trend data
get_search_by_page_query Queries driving traffic to a specific page
compare_search_periods Compare two time periods side-by-side with percentage changes

URL Inspection:

Tool Description
inspect_url_enhanced Full URL inspection — indexing status, rich results, canonical info
batch_url_inspection Inspect up to 10 URLs in one call
check_indexing_issues Categorized indexing issue report across multiple URLs

Sitemap Management:

Tool Description
get_sitemaps List sitemaps with status and URL counts
list_sitemaps_enhanced Detailed sitemap listing with submission dates and warnings
get_sitemap_details Full details for a specific sitemap
submit_sitemap Submit or resubmit a sitemap
delete_sitemap Remove a sitemap from GSC
manage_sitemaps All-in-one sitemap management (list, details, submit, delete)

Property Management:

Tool Description
add_site Add a site to Search Console
delete_site Remove a site from Search Console
get_site_details Property details including verification and ownership info
reauthenticate Switch Google accounts via OAuth re-login

Built-in Reliability

  • Dual auth — OAuth (interactive) and service account (headless) with automatic fallback
  • Lazy imports — defers heavy Google client libraries for fast MCP handshake
  • Data state control — choose between fresh data (all, matches GSC dashboard) or confirmed data (final)
  • Multi-filter support — AND logic across dimensions via JSON filter arrays

Quick Start

Prerequisites

  • Python 3.10+
  • A Google Cloud project with the Search Console API enabled
  • Claude Desktop (or any MCP-compatible client)

Authentication Options

Option A: Service Account (Headless — recommended for servers)

  1. Create a Google Cloud service account
  2. Enable the Search Console API in your project
  3. Download the service account JSON key file
  4. In GSC: go to Settings > Users and permissions and add the service account email as a user

Option B: OAuth (Interactive — recommended for local use)

  1. Create OAuth credentials in Google Cloud Console
  2. Download the client secrets JSON as client_secrets.json
  3. Place it in the gsc-mcp/ directory
  4. On first run, a browser window opens for Google login

Installation

git clone https://github.com/luminarylane/gsc-mcp.git
cd gsc-mcp
pip install -r requirements.txt

Configuration

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "gsc": {
      "command": "python",
      "args": ["/path/to/gsc-mcp/gsc_server.py"],
      "env": {
        "GSC_CREDENTIALS_PATH": "/path/to/service_account_credentials.json"
      }
    }
  }
}

Environment variables:

Variable Required Description
GSC_CREDENTIALS_PATH No* Path to service account JSON key file
GSC_OAUTH_CLIENT_SECRETS_FILE No* Path to OAuth client secrets JSON
GSC_SKIP_OAUTH No Set to true to skip OAuth and use service account only
GSC_DATA_STATE No all (default, matches GSC dashboard) or final (confirmed data, 2-3 day lag)

*At least one authentication method must be configured.

Alternatively, place service_account_credentials.json or client_secrets.json in the gsc-mcp/ directory.

Usage Examples

Once configured, ask Claude to:

  • "List my Search Console properties"
  • "What are the top queries for my site this month?"
  • "Show me the top pages by clicks for the last 90 days"
  • "Is this URL indexed? Check https://example.com/my-page"
  • "Compare search performance: last 28 days vs the 28 days before"
  • "Check indexing issues for these URLs" (paste a list)
  • "Submit my sitemap at https://example.com/sitemap.xml"
  • "Show traffic sources by country and device"

Data Freshness

By default, the server uses dataState: "all" which includes fresh/unconfirmed data and matches the GSC dashboard. Set GSC_DATA_STATE=final for confirmed-only data (lags 2-3 days). You can also override per-call via the data_state parameter in get_advanced_search_analytics.

Troubleshooting

Property not found (404)

The site_url must exactly match what GSC shows. Run list_properties first. Domain properties use the format sc-domain:example.com, not a full URL.

Permission denied (403)

The authenticated account needs access to the property. For service accounts, add the email in GSC Settings > Users and permissions.

Authentication failed

  • Service account: Check GSC_CREDENTIALS_PATH points to a valid JSON key file
  • OAuth: Delete token.json and re-run to trigger a fresh login, or use the reauthenticate tool

Contributing

  1. Fork the repo
  2. Create a feature branch (git checkout -b feat/my-feature)
  3. Make changes and test locally
  4. Submit a pull request

License

MIT License — see LICENSE for details.

Acknowledgments

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