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How to Connect Google Search Console to Gemini — via MCP

Google Search Console for AI agents: search performance (queries, pages, countries, devices, clicks, impressions, CTR, position), URL inspection, sitemaps and properties, plus a built-in SEO playbook. 11 tools, OAuth2.

HCBy HelpCode teamUpdated 3 min read Open-source on GitHub

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Google Search Console

Google Search Console

Google Search Console for AI agents: search performance (queries, pages, countries, devices, clicks, impressions, CTR, position), URL inspection, sitemaps and properties, plus a built-in SEO playbook. 11 tools, OAuth2.

tools

11

Region

INTL

Category

Analytics

Authentication

OAuth 2.0

Required env vars

GOOGLE_CLIENT_IDGOOGLE_CLIENT_SECRET
Install in one click on Cloud

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  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source · AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the Google Search Console in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

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Summary

Google Search Console for AI agents: search performance (queries, pages, countries, devices, clicks, impressions, CTR, position), URL inspection, sitemaps and properties, plus a built-in SEO playbook. 11 tools, OAuth2.

Try asking

Example prompts for Google Search Console

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

Google Search Console · live via MCP
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Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Google Search Console, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

Google Search Console + Gemini

Google Search Console for AI agents: search performance (queries, pages, countries, devices, clicks, impressions, CTR, position), URL inspection, sitemaps and properties, plus a built-in SEO playbook. 11 tools, OAuth2.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET

Step 1 — Get credentials

This connector wraps the Google Search Console API (searchconsole.googleapis.com): Search Analytics (clicks, impressions, CTR, average position), the URL Inspection API (index status, canonical, crawl, rich results), sitemaps and property management. 11 tools.

Start with gsc_seo_playbook. It costs no API call and returns ready-made recipes (period comparison, striking-distance keywords, cannibalisation, traffic-drop diagnosis, indexing audit…) with the exact request bodies to send.

…(continued in the in-app connector instructions)

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in Gemini

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
      "headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
    }
  }
}
  1. Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
  2. Save the file and restart gemini.
  3. Run /mcp inside the Gemini CLI — Google Search Console should be listed as available.
  4. Vertex AI Studio: pass https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID to the tools array of your request with the same X-API-Key header.

Available tools

ToolWhat it does
gsc_seo_playbookSTART HERE for any SEO analysis: returns, with NO API call, the ordered steps and exact request bodies for an overview, period comparison…
gsc_list_sitesList every Search Console property the authorised Google account can see, with its permission level (siteOwner, siteFullUser…
gsc_get_siteGet one Search Console property and the authorised account's permission level on it
gsc_query_search_analyticsQuery Google Search performance data (clicks, impressions, ctr, average position) for a property, grouped by any of query, page, country…
gsc_inspect_urlInspect how Google sees one URL: index verdict, coverage state (indexed, crawled or discovered but not indexed, excluded by noindex…
gsc_list_sitemapsList the sitemaps submitted for a property: path, last submitted and last downloaded times, pending state, sitemap-index flag, error and…
gsc_get_sitemapGet the status of one submitted sitemap: last submitted and downloaded, pending, errors, warnings and submitted URL counts per content type
gsc_submit_sitemapSubmit (or resubmit) a sitemap for a property so Google fetches it
gsc_delete_sitemapRemove a sitemap from a property's sitemap report
gsc_add_siteAdd a property to the authorised account's Search Console
gsc_remove_siteRemove a property from the authorised account's Search Console list

FAQ

Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.

Next steps

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