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Google Search Console MCP

Google Search Console MCP

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scalably.ioBusiness & Marketing0Updated 7w ago

About Google Search Console MCP

Google Search Console MCP is a read-only MCP server for SEO teams, providing access to properties, Search Analytics, sitemaps, and URL indexing status. It paginates Search Analytics queries and can throttle batch URL inspections.

Key features

  1. 01List accessible properties
  2. 02Filter and paginate Search Analytics
  3. 03View sitemaps
  4. 04Inspect an individual URL's index status
  5. 05Batch URL inspections with throttling

Use cases

  1. 01Analyze a site's search performance
  2. 02Query search data with specific filters
  3. 03Check sitemap status
  4. 04Verify indexing for a batch of URLs

MCP support

As an MCP server, it exposes read-only tools for Google Search Console properties, Search Analytics, sitemaps, and URL inspection to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
pypiscalably-gsc-mcp1.0.1
mcpbgsc-mcp.mcpb

Tools

5

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

From the project README

Google Search Console MCP

Read-only MCP server for Google Search Console. Five tools cover the read surface: properties, Search Analytics (filters, auto-pagination past the 25,000-row cap, hourly data), sitemaps, URL inspection, batch inspection with throttling. We run this server in production for every SEO client.

Install

Claude Code:

claude mcp add gsc -e GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json -- uvx scalably-gsc-mcp

Codex:

codex mcp add gsc --env GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json -- uvx scalably-gsc-mcp

Claude Desktop: download gsc-mcp.mcpb from the latest GitHub release and open it.

Setup

  1. In Google Cloud, create or pick a project and enable the Google Search Console API on it (APIs and Services, Library).
  2. Create a service account in that project and download its JSON key.
  3. Add the service account's email as a user on each Search Console property you want to query (Settings, Users and permissions). Full or restricted permission both work for reading.

No OAuth consent screen is needed; the server authenticates as the service account with the webmasters.readonly scope.

Tools (5)

ToolWhat it does
gsc_list_sitesList the Search Console properties the service account can read
gsc_query_search_analyticsQuery Search Analytics with filters, auto-pagination and hourly data
gsc_list_sitemapsList sitemaps for a property or read one sitemap
gsc_inspect_urlInspect one URL's index status
gsc_batch_inspect_urlsInspect many URLs with client-side throttling

Configuration

VariableRequiredPurpose
GOOGLE_APPLICATION_CREDENTIALSyesPath to a Google service-account JSON file with the Search Console read-only scope; share each property with the service account email
GSC_LOG_LEVELnoINFO (default) or DEBUG
GSC_RETRY_BASE_SECONDSnoBase delay in seconds for the retry backoff on transient API errors (default 1)
GSC_WEBMASTERS_BASE, GSC_SEARCHCONSOLE_BASEnoOverride the two Google API base URLs (used by the test suite to point at a local fake; leave unset in normal use)
GSC_TEST_ACCESS_TOKENnoTest-suite only: a literal bearer token that bypasses the service account. Never set it in normal use

Reply shape

Every tool returns JSON with status (succeeded, partial, no_op), operation, summary, target, result, proof, warnings, recovery. Failures surface as a tool error whose text is <code>: <message> <hint>. A partial status with proof.nextStartRow means: continue from that row.

Limits

25,000 rows per Search Analytics call (the server auto-paginates past it up to max_rows). URL inspection: Google allows 600 per minute and 2,000 per day per property. The server paces batch inspection client-side (default 8 requests per second) and warns when a batch exceeds the daily quota; it does not track daily usage across calls, so keep your own count.

Verify

Each release lists the package version, the .mcpb sha256 and the production commit it was derived from in CHANGELOG.md. CI runs the tests and a clean install of the built wheel on every push.

Privacy Policy

This server runs locally, on your machine, under your own credentials. It collects no personal data, contains no telemetry, stores nothing persistently, and talks only to the vendor API it wraps. No third party, including Scalably, receives your data. Contact: [email protected]. Canonical copy: https://scalably.io/connector-privacy.html

License

MIT. Copyright Scalably.

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