GSC MCP Server
This server connects Google Search Console to MCP-compatible clients, enabling you to query search performance, manage sitemaps, and inspect URLs. Key capabilities:
List Sites: Retrieve all Search Console properties accessible to the authenticated account.
Query Search Analytics: Fetch clicks, impressions, CTR, and average position, groupable by dimensions (query, page, country, device, date, search appearance), with filtering (equals, contains, regex, etc.) by dimension, search type (web, image, video, news, discover, googleNews), and pagination up to 25,000 rows.
Manage Sitemaps: List, get details, submit, or delete sitemaps for a property.
Inspect URL: Check indexing status, coverage issues, mobile usability, and more via URL Inspection tool.
Enables querying search performance metrics (clicks, impressions, CTR, position) with filters, managing sitemaps (list, get, submit, delete), and inspecting URL indexing status for Google Search Console properties.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GSC MCP Server What are my top pages by clicks over the last 28 days?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Search Console MCP Server
A Model Context Protocol (MCP) server for Google Search Console — connect it to Claude Desktop, Claude Code, or any other MCP-compatible client and ask questions about your site's search analytics (clicks, impressions, CTR, position), sitemaps, and indexing status directly in chat.
What it can do
Tool | Description |
| List every property the authenticated account can access |
| Query clicks, impressions, CTR, and position — grouped by query, page, country, device, or date, with optional filters |
| List sitemaps submitted for a property |
| Get status/details for one sitemap |
| Submit a new sitemap |
| Remove a sitemap |
| Run the URL Inspection tool (indexing status, coverage issues, mobile usability) on a single URL |
Related MCP server: mcp-gsc
Requirements
Node.js 18+
A Google account with Owner or Full user access to the site(s) in Google Search Console
1. Create a Google Cloud project and enable the API
Go to the Google Cloud Console and create a new project (top bar → project dropdown → New Project). Give it any name, e.g.
GSC Connection.
With that project selected, open APIs & Services → Library, search "Google Search Console API", and click Enable.
Everything below branches by auth method — pick one.
2a. Option A — OAuth 2.0 (recommended if this is just for you)
Uses your own Google login, so it automatically sees every property you personally have access to. Requires a one-time browser authorization.
Configure the consent screen:
Go to APIs & Services → OAuth consent screen (in the newer Cloud Console this is under Google Auth Platform → Branding, part of a 4-step setup wizard).
App information: enter an app name (e.g.
GSC MCP Server) and your email as the support email → Next.
Audience: choose External → Next.
Contact information: enter your email → Next.
Finish: accept the policy → Create.
On the Audience page that follows, scroll to Test users → Add users, and add your own Google account's email. While the app is unpublished ("Testing" status), only test users can complete the login — this is expected and fine to leave as-is indefinitely for personal use.

Create the OAuth client:
Go to Clients (left sidebar) → Create client.
Application type: Web application (not "Desktop" — this project's local auth flow expects a fixed redirect URI, which only the Web application type lets you set).
Name it anything, e.g.
GSC MCP.Under Authorized redirect URIs, click Add URI and enter exactly:
http://localhost:53682/oauth2callback
Click Create, then download the client JSON (via the download icon next to the client in the Clients list).
Save the downloaded file into this project's folder as
oauth-credentials.json.
Configure and authorize:
Copy
.env.exampleto.envand set (use absolute paths — see the note below):GSC_OAUTH_CREDENTIALS_PATH=/absolute/path/to/google-search-console-mcp-server/oauth-credentials.json GSC_OAUTH_TOKEN_PATH=/absolute/path/to/google-search-console-mcp-server/.gsc-token.jsonRun the one-time login:
npm run authThis prints a URL — open it in your browser, log in with the account you added as a test user, and approve access. The CLI saves a token to
.gsc-token.jsonand you're done; you won't need to repeat this unless the token is deleted or access is revoked.
Why absolute paths?
.envpaths are resolved relative to the current working directory of whatever process launches the server — that's your shell when you runnpm run dev, but it's a different, unpredictable directory when an app like Claude Desktop spawns the server for you. Relative paths (./oauth-credentials.json) can silently fail to resolve in that case, causing an unexplained "no credentials" error. Absolute paths always work regardless of who launches the process.
2b. Option B — Service account (no browser login, better for servers/CI)
In Cloud Console, go to APIs & Services → Credentials → Create Credentials → Service account.
Give it any name (e.g.
gsc-mcp) and click Done (no project-level roles needed).Open the new service account → Keys tab → Add Key → Create new key → JSON. Save the downloaded file into this project's folder, e.g.
gsc-service-account.json.Copy the service account's email address (looks like
gsc-mcp@your-project.iam.gserviceaccount.com).In Google Search Console, open the property → Settings → Users and permissions → Add user → add the service account's email as a Full user. Repeat for every property you want this server to see.
In
.env(absolute path, same reasoning as above):GSC_SERVICE_ACCOUNT_KEY_PATH=/absolute/path/to/google-search-console-mcp-server/gsc-service-account.json
3. Install and build
git clone https://github.com/wyattxmgmt/google-search-console-mcp-server.git
cd google-search-console-mcp-server
npm install
npm run build(You should already have .env set up from section 2a or 2b above.)
4. Connect it to an MCP client
Claude Desktop
The current Claude Desktop app manages local MCP servers under Settings → Developer → Local MCP servers, not under Settings → Connectors (Connectors there is for remote/hosted MCP servers reachable over HTTPS — a locally-run server like this one won't show up there).
Open Settings → Developer → Local MCP servers → Edit Config. This opens
claude_desktop_config.jsondirectly.Add a
mcpServersentry (merge with whatever's already in the file — don't replace it):{ "mcpServers": { "gsc": { "command": "node", "args": [ "--env-file=/absolute/path/to/google-search-console-mcp-server/.env", "/absolute/path/to/google-search-console-mcp-server/dist/index.js" ] } } }Save, then fully quit Claude Desktop (not just close the window — use the tray/taskbar icon) and reopen it.
Check Settings → Developer → Local MCP servers again —
gscshould show status running.
Claude Code
Copy .mcp.json.example to .mcp.json in this project and fill in the absolute path:
{
"mcpServers": {
"gsc": {
"command": "node",
"args": ["--env-file=.env", "dist/index.js"],
"cwd": "/absolute/path/to/google-search-console-mcp-server"
}
}
}Open Claude Code in this directory — it'll prompt you to approve the project-scoped gsc server on first load. To make it available in every session regardless of directory, register it globally instead:
claude mcp add gsc --scope user -- node --env-file=/absolute/path/to/google-search-console-mcp-server/.env /absolute/path/to/google-search-console-mcp-server/dist/index.jsAny other MCP client
The server speaks standard MCP over stdio — point your client at node dist/index.js with the same environment variables set (or --env-file), and it will work the same way.
Example prompts once connected
"List my Search Console properties"
"What were my top 20 queries for example.com over the last 28 days?"
"Compare clicks by device for example.com in July vs June"
"Is https://example.com/some-page indexed? Run a URL inspection."
"Submit https://example.com/sitemap.xml as a new sitemap"
Troubleshooting
"No credentials configured" — you need exactly one of
GSC_SERVICE_ACCOUNT_KEY_PATHorGSC_OAUTH_CREDENTIALS_PATHset in.env."No cached OAuth token found" — run
npm run authfirst.Works with
npm run devbut fails/times out when launched by Claude Desktop — almost always relative paths in.env. Switch to absolute paths (see the callout in 2a).Empty results from
list_sites— the account/service-account tied to your credentials hasn't been added as a user on any property in Search Console.403 errors on a specific site — double check the exact
siteUrlformat Search Console uses for that property (e.g.sc-domain:example.comfor domain properties vs.https://example.com/for URL-prefix properties) — see it vialist_sites.Google shows "app isn't verified" / blocks login — expected while the OAuth consent screen is in "Testing" status. Make sure the Google account you're logging in with was added under Audience → Test users.
Development
npm run dev # run directly with tsx, no build step
npm run build # compile to dist/License
MIT
Available Tools
7 toolsdelete_sitemapDelete sitemapA
Remove a sitemap from Google Search Console for a property.
Inputs: siteUrl (required), feedpath (required).
get_sitemapGet sitemap detailsA
Get details and status for a single sitemap.
Inputs: siteUrl (required), feedpath (required).
inspect_urlInspect URLA
Run the Search Console URL Inspection tool on a single URL to check indexing status, coverage issues, mobile usability, and more.
Inputs: siteUrl (required), inspectionUrl (required), languageCode.
list_sitemapsList sitemapsA
List all sitemaps submitted for a Search Console property.
Inputs: siteUrl (required).
list_sitesList Search Console sitesA
List all sites/properties the authenticated account has access to in Google Search Console.
Inputs: no named parameters.
query_search_analyticsQuery Search AnalyticsA
Query Google Search Console performance data (clicks, impressions, CTR, position) for a site, broken down by dimensions like query, page, country, device, or date.
Inputs: endDate (required), siteUrl (required), startDate (required), filters, +4 more.
submit_sitemapSubmit sitemapB
Submit a new sitemap to Google Search Console for a property.
Inputs: siteUrl (required), feedpath (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Each tool targets a distinct resource and action: site listing, sitemap lifecycle (list/get/submit/delete), URL inspection, and search analytics querying. No overlap; get_sitemap vs list_sitemaps is clearly singular vs plural.
All tool names follow a consistent verb_noun pattern: list_sites, get_sitemap, submit_sitemap, delete_sitemap, inspect_url, query_search_analytics, list_sitemaps. The style is uniform and predictable.
7 tools is well-scoped for a Google Search Console server, covering the core resources (sites, sitemaps, URLs, analytics) without bloat. Each tool earns its place.
The sitemap lifecycle is complete (list, get, submit, delete), and URL inspection plus search analytics cover major GSC functions. A minor gap is the lack of a dedicated tool to get detailed property info beyond listing, but this is workable.
Maintenance
Related MCP Connectors
Read-only Google Search Console MCP server for AI assistants.
Google Search Console, GA4 and PageSpeed MCP server for Claude, ChatGPT and Cursor. Free, hosted.
Ask Google Search Console in plain language. Hosted, free, no Google Cloud project.
SEO MCP server for keyword research, SERP analysis, audits, and Search Console workflows.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP Server that provides access to Google's Search Console API, allowing users to interact with website search performance data and manage search presence through natural language.-
- AlicenseNot gradedqualityBmaintenanceMCP server for Google Search Console, enabling querying search analytics, URL inspection, sitemap management, and more via natural language.31,535 npm3MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that exposes the Google Search Console API, allowing LLMs to query SEO data, inspect URLs, manage sitemaps, and analyze search performance via natural language.71 npmMIT
- AlicenseNot gradedqualityDmaintenanceSelf-hosted MCP server that connects Google Search Console to AI assistants, enabling natural language queries about search analytics, sitemaps, and URL inspection data.MIT