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mcp-server-gsc

by noduslabs

Google Search Console MCP Server — Search Analytics, URL Indexing & Sitemap Management for AI Assistants (SEO / LLMO)

mcp-server-gsc is an MCP (Model Context Protocol) server for Google Search Console that connects your search performance data to Claude or any MCP client. It lets AI assistants query search analytics (clicks, impressions, CTR, position), inspect URL indexing and crawl status, and manage sitemaps — so you can analyze and optimize your website's SEO and LLMO directly from a conversation.

Tools

Tool

What It Does

What You Need to Provide

get_capabilities

Lists all tools and shows auth status — call this first if unsure

Nothing

list_properties

Shows all your GSC properties

Nothing

get_site_details

Details about a specific site

Site URL

get_search_analytics

Top queries and pages with clicks, impressions, CTR, position

Site URL, time period

get_performance_overview

Summary of site performance (totals, daily trend, top 5)

Site URL, time period

compare_search_periods

Compare performance between two time periods

Site URL, two date ranges

get_search_by_page_query

Search terms driving traffic to a specific page

Site URL, page URL

get_advanced_search_analytics

Analytics with filters by country, device, query, page

Site URL

inspect_url_enhanced

Detailed crawl/index status for a URL

Site URL, page URL

batch_url_inspection

Inspect up to 10 URLs at once

Site URL, list of URLs

check_indexing_issues

Check multiple URLs (up to 20) for indexing problems

Site URL, list of URLs

get_sitemaps

Lists all sitemaps for a site

Site URL

list_sitemaps_enhanced

Detailed sitemap info including errors and warnings

Site URL

manage_sitemaps

Submit, delete, or get status of a sitemap

Site URL, action

reauthenticate

Re-run the OAuth browser login (switch accounts)

Nothing

Related MCP server: Google Search Console MCP Server

Setup

1. Build

npm install
npm run build

2. Google Cloud credentials

You need a Google Cloud project with the Search Console API enabled (console.cloud.google.com → APIs & Services → Library → "Google Search Console API" → Enable).

Then pick one of the two auth methods:

  1. APIs & Services → Credentials → Create Credentials → OAuth client ID → Application type Desktop app.

  2. If prompted, configure the OAuth consent screen first (External is fine; add your own Google account as a test user).

  3. Download the client JSON, or copy the client ID and secret.

Configure via environment variables — either:

GSC_OAUTH_CLIENT_ID=xxxx.apps.googleusercontent.com
GSC_OAUTH_CLIENT_SECRET=GOCSPX-...

or point to the downloaded JSON:

GSC_OAUTH_CREDENTIALS=/path/to/client_secret_xxxx.json

On the first tool call (or via the reauthenticate tool) a browser window opens for Google sign-in. Tokens are stored in ~/.config/mcp-server-gsc/tokens.json and refreshed automatically.

Option B — Service account (headless, no browser)

  1. APIs & Services → Credentials → Create Credentials → Service account, then create a JSON key.

  2. In Search Console → Settings → Users and permissions, add the service account email as a user on each property.

GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

If GOOGLE_APPLICATION_CREDENTIALS is set, it takes precedence and no browser login is used.

3. Register with your MCP client

Claude Code:

claude mcp add gsc \
  -e GSC_OAUTH_CLIENT_ID=xxxx.apps.googleusercontent.com \
  -e GSC_OAUTH_CLIENT_SECRET=GOCSPX-... \
  -- node /path/to/mcp-server-gsc/dist/index.js

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "gsc": {
      "command": "node",
      "args": ["/path/to/mcp-server-gsc/dist/index.js"],
      "env": {
        "GSC_OAUTH_CLIENT_ID": "xxxx.apps.googleusercontent.com",
        "GSC_OAUTH_CLIENT_SECRET": "GOCSPX-..."
      }
    }
  }
}

This server is best used for SEO / LLMO in combination with:

  • KeywordGraph MCP server — lets you compare your Search Console data against real-time search intent data, perform topical cluster analysis, and build knowledge graphs of your queries and content. Connect directly via https://mcp.keywordgraph.com, e.g.:

    claude mcp add --transport http keywordgraph https://mcp.keywordgraph.com
  • SEO skill — adds advanced SEO / LLMO analysis workflows on top of both servers.

Together they enable the full loop: pull your actual performance data from this server, contrast it with what people are searching for right now, find the topical gaps, and optimize your content accordingly — for best results use all three together.

Usage notes

  • Site URL format matters: domain properties are sc-domain:example.com; URL-prefix properties are https://example.com/ (exactly as shown in Search Console). Use list_properties to see yours.

  • Data lag: Search Console analytics data lags by roughly 2 days. When you use the days shortcut instead of explicit dates, the window automatically ends 2 days ago.

  • Time periods: analytics tools accept either explicit startDate/endDate (YYYY-MM-DD) or a trailing days count (default 28).

  • Switching accounts: call the reauthenticate tool — it discards stored tokens and reopens the browser login.

  • Token storage location can be overridden with GSC_CONFIG_DIR.

Development

npm run watch   # recompile on change

Source layout:

  • src/index.ts — MCP server and tool definitions

  • src/auth.ts — OAuth loopback flow, token persistence, service-account support

  • src/gsc.ts — Search Console API helpers (queries, totals, URL-inspection diagnosis)

Install Server
A
license - permissive license
A
quality
C
maintenance

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