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hablapro

Google Search Console MCP Server

by hablapro

Google Search Console MCP Server

Tests Deploy

A Model Context Protocol (MCP) server that connects AI assistants (ChatGPT, Claude, custom agents) with Google Search Console data. Analyze your SEO data through natural language conversations - ask questions, get insights, and take action without navigating dashboards.

Production Endpoint: https://gsc-mcp-cloud.principal-e85.workers.dev


What Is This?

This MCP server acts as a bridge between AI assistants and the Google Search Console API. Instead of manually navigating GSC dashboards, you can ask questions like:

  • "What are my top-performing keywords this month?"

  • "Find pages that are losing traffic"

  • "Check if my new blog post is indexed"

  • "What keywords am I ranking 11-20 for that I could push to page 1?"

  • "Compare my performance before and after the last algorithm update"

The AI assistant uses this MCP server to fetch real data from your GSC account and provide actionable insights.


Who Is This For?

Audience

Use Case

SEO Professionals

Automate reporting, identify optimization opportunities, monitor algorithm impacts

Content Marketers

Find content gaps, track article performance, identify refresh candidates

Web Developers

Check indexing status, debug crawl issues, validate sitemaps

Agency Teams

Manage multiple client properties, generate insights at scale

AI/Automation Enthusiasts

Build custom SEO workflows powered by LLMs


Problems It Solves

  1. Time-Consuming Manual Analysis - Ask natural language questions instead of clicking through dashboards

  2. Missed Optimization Opportunities - AI identifies striking distance keywords and CTR opportunities automatically

  3. Reactive SEO - Get proactive alerts about declining pages before they drop off page 1

  4. Complex Data Interpretation - AI translates raw data into actionable recommendations

  5. Multi-Property Management - Query across all your GSC properties in one conversation

  6. Algorithm Impact Analysis - Quickly compare before/after performance around updates


Available Tools (26 Total)

OpenAI MCP Integration (2 tools)

Tool

Description

search

Search for relevant documents and data from GSC based on a query

fetch

Retrieve complete document content using a document ID

Property Management (4 tools)

Tool

Description

list_properties

List all Search Console properties with permission levels

add_site

Add a new site to Search Console (URL or domain property)

delete_site

Remove a site from Search Console

get_site_details

Get verification status and ownership details

Search Analytics (5 tools)

Tool

Description

get_search_analytics

Get search data with customizable dimensions (query, page, country, device)

get_performance_overview

Comprehensive performance summary with totals and daily trends

get_advanced_search_analytics

Advanced queries with sorting, filtering, multiple search types (Web, Image, Video, News, Discover)

compare_search_periods

Compare two time periods to identify trends and changes

get_search_by_page_query

Get queries driving traffic to a specific page

URL Inspection (3 tools)

Tool

Description

inspect_url_enhanced

Check indexing status, rich results, crawling details, canonical URLs

batch_url_inspection

Inspect up to 10 URLs at once

check_indexing_issues

Find not-indexed pages, canonical conflicts, robots blocking, fetch errors

Sitemap Management (5 tools)

Tool

Description

get_sitemaps

List all sitemaps with status and URL counts

submit_sitemap

Submit or resubmit a sitemap for processing

list_sitemaps_enhanced

Detailed sitemap list with submission dates, content types, warnings

get_sitemap_details

Deep dive into a specific sitemap's status and errors

delete_sitemap

Remove a sitemap from processing

SEO Analysis Tools (7 tools)

Specialized tools for actionable SEO insights:

Tool

Description

Key Insights

find_high_potential_keywords

Find quick-win keyword opportunities

Keywords ranking 11-40 (striking distance), high impressions with low CTR

check_page_experience

Analyze page experience signals

Mobile usability, crawl status, indexing state

get_coverage_report

Comprehensive indexing analysis

Coverage summary, issue breakdown, action items

analyze_backlinks

Page authority and internal linking*

Top authority pages, hub pages, orphan pages

spot_content_opportunities

Find rising/declining content

Emerging topics, declining pages, refresh candidates

analyze_regional_device_performance

Country and device breakdown

Mobile vs desktop gaps, geo performance

analyze_algorithm_impact

Before/after comparison

Winners, losers, affected queries, recovery recommendations

*Note: External backlink data is NOT available via GSC API. Use Ahrefs/SEMrush for external links.


API Limitations

Limitation

Details

Data Lookback

Maximum 540 days (16 months)

Rows Per Query

Maximum 25,000 rows

URL Inspections

2,000 per day per property

No External Backlinks

Only available in GSC Web UI

No Core Web Vitals

Use PageSpeed Insights API or CrUX

Data Delay

GSC data is typically 2-3 days behind


Architecture

+-----------------+ +------------------+ +-----------------+ | AI Assistant |---->| MCP Server |---->| Google Search | | (ChatGPT, etc) |<----| (Cloudflare) |<----| Console API | +-----------------+ +------------------+ +-----------------+ | v +--------------+ | KV Store | | (OAuth tokens)| +--------------+

Stack:

  • Runtime: Cloudflare Workers (TypeScript) or local Python (FastMCP)

  • Framework: Hono (web), Zod (validation)

  • Protocol: MCP over SSE

  • Auth: Google OAuth 2.0


Deployment Options

Endpoint: https://gsc-mcp-cloud.principal-e85.workers.dev

Endpoint

Purpose

/health

Health check

/auth

Start Google OAuth flow

/oauth/callback

OAuth callback handler

/mcp-sse

MCP Server-Sent Events endpoint

Setup

cd gsc-mcp-cloud npm install # Set OAuth credentials npx wrangler secret put GOOGLE_CLIENT_ID npx wrangler secret put GOOGLE_CLIENT_SECRET # Deploy npm run deploy # Visit /auth to authenticate with Google

Option 2: Local Python Server (For Claude Desktop)

{ "mcpServers": { "gscServer": { "command": "/path/to/mcp-gsc/.venv/bin/python", "args": ["/path/to/mcp-gsc/gsc_server.py"], "env": { "GSC_OAUTH_CLIENT_SECRETS_FILE": "/path/to/client_secrets.json" } } } }

Service Account Authentication

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

Example Prompts

Goal

Prompt

Find quick wins

"Find keywords I'm ranking 11-20 for with high impressions"

Content audit

"Show me pages losing traffic over the last 30 days"

Algorithm check

"Compare my performance 2 weeks before and after November 15th"

Indexing audit

"Check if my top 10 blog posts are indexed"

Mobile optimization

"Compare my mobile vs desktop performance by country"

CTR opportunities

"Find queries with high impressions but CTR below 2%"


Changelog

v1.3.0 - December 30, 2025, 07:05 UTC

CI/CD & Testing

  • Added Vitest testing framework with 53 unit tests

  • Test coverage: 80%+ for SEO analysis tools

  • Added GitHub Actions workflow for automated testing on push/PR

  • Added GitHub Actions workflow for automated Cloudflare Workers deployment

  • Deployment triggers on changes to gsc-mcp-cloud/ directory

  • Added CI status badges to README

v1.2.1 - December 30, 2025, 05:50 UTC

URL Parsing Fix

  • Fixed check_page_experience and get_coverage_report to accept both comma-separated and newline-separated URL lists

  • Improved usability for AI assistants passing multiple URLs

  • Deployed to production

v1.2.0 - December 30, 2025, 04:30 UTC

SEO Analysis Tools

  • Added 7 new specialized SEO analysis tools:

    • find_high_potential_keywords - Striking distance and CTR opportunities

    • check_page_experience - Mobile usability and crawl status

    • get_coverage_report - Comprehensive indexing analysis

    • analyze_backlinks - Page authority based on search visibility

    • spot_content_opportunities - Rising/declining query detection

    • analyze_regional_device_performance - Country and device breakdown

    • analyze_algorithm_impact - Before/after comparison for updates

  • Added helper functions: calculatePercentageChange, formatChange, formatDate, getDateRange, getExpectedCTR

  • Total tools increased from 19 to 26

  • Tested with real GSC data from production properties

v1.1.0 - December 29, 2025, 22:00 UTC

Infrastructure Improvements

  • Added FastMCP configuration for Python server

  • Implemented Hono error handling middleware with structured JSON responses

  • Added cache middleware for health endpoint (5 minute TTL)

  • Fixed SSE body consumption error (request cloning fix)

  • Improved Zod validation with custom error messages

  • Set up Google OAuth 2.0 authentication flow with KV token storage

  • Initial deployment to Cloudflare Workers

v1.0.0 - December 29, 2025, 18:00 UTC

Initial Release

  • Core MCP server implementation

  • 19 tools across 5 categories:

    • 2 OpenAI MCP integration tools

    • 4 Property management tools

    • 5 Search analytics tools

    • 3 URL inspection tools

    • 5 Sitemap management tools

  • Python server with FastMCP support

  • TypeScript server for Cloudflare Workers


Local Development

# TypeScript (Cloudflare Workers) cd gsc-mcp-cloud npm install npm run dev # Python (FastMCP) cd mcp-gsc python -m venv .venv source .venv/bin/activate pip install -r requirements.txt python gsc_server.py

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

Repository: https://github.com/hablapro/mcp-gsc


License

MIT License - See LICENSE file for details.

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license - not found
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quality - not tested

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