gsc-mcp-tools 0.6.1

Google Search Console MCP server with 43 tools: search analytics, URL inspection, Indexing API, GA4, CrUX, sitemap audit, JSON-LD schema validation, and composite health scoring

gsc-mcp

Google Search Console MCP server with 43 tools covering search analytics, URL inspection, the Google Indexing API, Google Analytics 4, Core Web Vitals (CrUX), sitemap auditing, JSON-LD schema validation, and composite health scoring. Built on Python 3.11+ and FastMCP.

TL;DR: Install with uvx gsc-mcp-tools, point at your GSC service account, and ask Claude things like "which pages on my site are crawled but not indexed? Submit them." The server handles the Google API calls, batching, retries, and quota tracking. All outputs are structured JSON so Claude can reason across results without parsing ambiguity.

What you can do with it

You → Claude → gsc-mcp
                 ├── Properties     (list, details, capabilities)
                 ├── Analytics      (performance, periods, anomalies)
                 ├── SEO            (quick wins, drops, cannibalization)
                 ├── Inspection     (URL status, batch, issue categories)
                 ├── Indexing API   (submit URL, true HTTP batch)
                 ├── Sitemaps       (list, submit, audit coverage)
                 ├── GA4            (pages, sources, realtime, funnels)
                 ├── Cross GSC+GA4  (health check, page analysis)
                 ├── CrUX           (Core Web Vitals, history)
                 └── Technical      (JSON-LD schema validation)

Tool summary

Category	Tools	What it does
Properties	list_properties, get_site_details, get_capabilities	Discover and inspect your GSC properties
Analytics	get_search_analytics, get_performance_overview, compare_search_periods, get_search_by_page_query, get_advanced_search_analytics, analytics_anomalies, discover_performance, news_performance, search_type_breakdown, ai_overviews_impact	Query impressions, clicks, CTR, position; Discover and Google News performance; breakdown by search type; AI Overview appearance data
SEO	quick_wins, traffic_drops, seo_striking_distance, seo_cannibalization, seo_lost_queries, check_alerts	Surface opportunities, diagnose drops, detect cannibalization
Inspection	inspect_url, batch_url_inspection, check_indexing_issues	URL indexing status, crawl verdict, canonical, categorized by issue type
Indexing	submit_url, submit_batch	Request (re)indexing via the Google Indexing API, true HTTP batch, quota tracking
Sitemaps	list_sitemaps, submit_sitemap, sitemaps_get, sitemaps_delete, sitemap_audit	Manage submitted sitemaps; audit declared URLs against GSC coverage
GA4	ga4_organic_landing_pages, ga4_traffic_sources, ga4_page_performance, ga4_realtime, ga4_user_behavior, ga4_conversion_funnel, ga4_funnel	Analytics 4 data: sessions, engagement, conversions, realtime, multi-step funnels via v1alpha (all filterable by hostname and country)
Cross	traffic_health_check, page_analysis, page_health_score, content_brief	Join GSC clicks with GA4 sessions; composite 0-100 health score (GSC+GA4+CrUX+schema); per-page content intelligence
CrUX	crux_page_vitals, crux_history	Real-user Core Web Vitals (LCP, INP, CLS, FCP, TTFB) from the Chrome UX Report API, requires CRUX_API_KEY
Technical	schema_validate	Fetch any public URL and validate its JSON-LD structured data schemas; suggests missing schemas by URL pattern

Why this exists

Two solid open-source projects cover parts of this problem:

AminForou/mcp-gsc (Python, 1k+ stars) has excellent search analytics, rich SEO tooling, and solid OAuth + Service Account auth. It does not include the Google Indexing API at all (no submit_url, no submit_batch). You can analyze your traffic but you cannot request reindexing.

Suganthan-Mohanadasan/Suganthans-GSC-MCP (Node.js/TypeScript) adds the Indexing API, but its submit_batch is a sequential for loop with a 100ms delay between requests, not a real HTTP batch. It also mixes plain-text and JSON outputs, hardcodes version strings that diverge from package.json, and has no retry logic.

This project takes the auth patterns and SEO tools from the first, the Indexing API scope from the second, and fixes the gaps in both.

Why Python instead of Go or Rust

The Google API Python client (google-api-python-client) is the official, best-maintained client for these APIs. It ships service.new_batch_http_request() natively, which is what makes true HTTP multipart batching possible without implementing the wire format by hand. The Go and Rust ecosystem for Google APIs relies on unofficial or auto-generated clients that do not expose this method. FastMCP also has first-class Python support with minimal boilerplate. The trade-off is startup latency (a few hundred ms vs near-zero for a compiled binary), but for a local MCP server called interactively by Claude that trade-off is irrelevant.

What changed vs the two inspirations

Feature	AminForou/mcp-gsc	Suganthan	gsc-mcp
Google Indexing API	No	Yes (fake batch)	Yes (true HTTP batch)
submit_batch	N/A	Sequential loop	new_batch_http_request(), 100/chunk
Token storage	pickle	pickle	JSON (creds.to_json())
Retry on 429/5xx	No	No	Yes, exponential backoff
Quota tracking	No	No	Yes, warns at 180/200
Output format	Mixed text+JSON	Mixed	100% JSON + _meta block

Tools (43)

Category	Tool	Description
Meta	get_capabilities	List all available tools
Properties	list_properties	List all GSC properties
Properties	get_site_details	Get details for a specific property
Analytics	get_search_analytics	Query search performance data
Analytics	get_performance_overview	Aggregate totals + top queries
Analytics	compare_search_periods	Compare two consecutive periods
Analytics	get_search_by_page_query	Performance broken down by page and query
Analytics	get_advanced_search_analytics	Flexible query with custom dimensions and filters
Analytics	analytics_anomalies	Z-score anomaly detection on daily clicks
Analytics	discover_performance	Top pages by impressions in Google Discover
Analytics	news_performance	Top pages by impressions in Google News
Analytics	search_type_breakdown	Clicks and impressions split across web, Discover, News, image, video
Analytics	ai_overviews_impact	Queries with searchAppearance data, graceful 400/403 fallback
SEO	quick_wins	Pages in positions 4-15 with CTR below benchmark
SEO	traffic_drops	Queries with declining clicks, with diagnosis
SEO	check_alerts	Traffic concentration risks and ranking opportunities
SEO	seo_striking_distance	Queries in positions 8-15, one push away from page 1
SEO	seo_cannibalization	Queries split across multiple pages (HHI conflict score)
SEO	seo_lost_queries	Queries with a click drop >= 80% vs the previous period
Inspection	inspect_url	URL indexing status via URL Inspection API
Inspection	batch_url_inspection	Inspect up to 10 URLs at once
Inspection	check_indexing_issues	Inspect URLs and categorize by issue type
Indexing	submit_url	Request indexing for a single URL
Indexing	submit_batch	Request indexing for multiple URLs (true HTTP batch)
Sitemaps	list_sitemaps	List submitted sitemaps
Sitemaps	submit_sitemap	Submit a sitemap URL
Sitemaps	sitemaps_get	Fetch details for a single sitemap
Sitemaps	sitemaps_delete	Delete a submitted sitemap (with safety check)
GA4	ga4_organic_landing_pages	Sessions and engagement for organic landing pages
GA4	ga4_traffic_sources	Sessions and conversions by channel, source and medium
GA4	ga4_page_performance	7 metrics per page path, optional CONTAINS filter
GA4	ga4_realtime	Active users right now by screen, country and device
GA4	ga4_user_behavior	Device, country and user-type breakdowns in one batch call
GA4	ga4_conversion_funnel	Converting pages and event counts, optional event filter
GA4	ga4_funnel	Multi-step funnel report via GA4 v1alpha RunFunnelReport, conversion rate per step
Cross	traffic_health_check	GSC clicks vs GA4 organic sessions ratio, flags tracking gaps and filter issues
Cross	page_analysis	GSC+GA4 join per page with opportunity score, sorted by priority
Cross	page_health_score	Composite 0-100 score (GSC 30 pts, GA4 25 pts, CrUX 25 pts, schema 20 pts), graceful degradation per component
Cross	content_brief	Per-page top queries, question queries, and GA4 session data for content planning
Sitemaps	sitemap_audit	Fetch a sitemap, parse its URLs, cross-reference against 90 days of GSC coverage
CrUX	crux_page_vitals	Real-user Core Web Vitals (LCP, INP, CLS, FCP, TTFB) for a URL from the Chrome UX Report API
CrUX	crux_history	Historical Core Web Vitals trend (weekly data points) for a URL
Technical	schema_validate	Fetch any public URL and validate its JSON-LD schemas; suggests missing schemas by URL pattern

Requirements

• Python 3.11+
• A Google Cloud project with the following APIs enabled: Google Search Console API, Web Search Indexing API, Google Analytics Data API
• A Service Account JSON key (recommended) or OAuth Desktop credentials
• For the Indexing API: the service account must have Owner-level access on the GSC property (Full access is not enough)
• Indexing API default quota: 200 requests per day

Installation

uvx gsc-mcp-tools

Or with pip:

pip install gsc-mcp-tools

To run from source:

git clone https://github.com/FlorianBruniaux/google-search-console-mcp
cd google-search-console-mcp
python3 -m venv .venv && source .venv/bin/activate
pip install -e .

Configuration

Full setup guide: docs/google-setup.md covers creating a Google Cloud project, enabling APIs, creating a service account, adding it to GSC with the right permission level, and configuring GA4.

First audit prompts: docs/starter-prompt.md contains ready-to-use prompts for a full site audit, a 5-minute health check, single-page inspection, reindexing workflow, and GA4-only analysis.

Quick start (service account)

export GSC_SERVICE_ACCOUNT_PATH=/absolute/path/to/service-account.json
export GSC_SKIP_OAUTH=true
export GA4_PROPERTY_ID=123456789   # only needed for GA4 tools
export CRUX_API_KEY=AIza...        # only needed for crux_page_vitals, crux_history
gsc-mcp

CRUX_API_KEY is a Google API key (not a service account) with the Chrome UX Report API enabled in your GCP Console. It is separate from GSC auth and only required for CrUX tools.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "gsc-mcp": {
      "command": "uvx",
      "args": ["gsc-mcp-tools"],
      "env": {
        "GSC_SERVICE_ACCOUNT_PATH": "/absolute/path/to/service-account.json",
        "GSC_SKIP_OAUTH": "true",
        "GA4_PROPERTY_ID": "123456789",
        "CRUX_API_KEY": "AIza..."
      }
    }
  }
}

Remove GA4_PROPERTY_ID if you are not using GA4 tools. Restart Claude Desktop after saving.

Multi-property support

To query a different GA4 property without changing the config, pass property_id directly to any GA4 or cross tool:

ga4_traffic_sources(property_id="987654321")
traffic_health_check(site="sc-domain:example.com", property_id="987654321")

Development

python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest tests/ -v

282 tests, all mocked (no real Google API calls needed).

Inspirations

• AminForou/mcp-gsc: auth patterns, OAuth + Service Account flow, SEO analytics structure
• Suganthan-Mohanadasan/Suganthans-GSC-MCP: Indexing API scope, with_meta() output pattern

License

MIT