Google Search Console MCP Server
Read-only MCP server that gives AI clients access to Google Search Console data, enabling natural language queries about traffic, rankings, and SEO opportunities.
README
Google Search Console MCP Server
An MCP server that gives any MCP-compatible AI client (Claude Desktop, Claude Code, Cursor, …) read-only access to your Google Search Console data. Ask questions in plain language — "why did my traffic drop last week?" — and the assistant pulls the numbers, compares periods, and surfaces SEO opportunities for you.
Read-only. The server only ever reads Search Analytics data; it cannot change anything in your Search Console property.
What it does
It exposes six tools to the AI client:
| Tool | What it answers |
|---|---|
search_analytics |
Raw clicks / impressions / CTR / position for a date range, grouped by query, page, country, device, or date. |
compare_periods |
Which pages or queries gained or lost the most clicks/impressions between two date ranges. Great for diagnosing traffic drops. |
top_opportunities |
"Low-hanging fruit" — pages/queries ranking 4–20, or high-impression pages with low CTR that are worth optimizing. |
page_details |
Deep dive on one page: its top queries and day-by-day trend. |
query_details |
For one query: which of your pages rank for it and how. |
list_sites |
Lists the configured properties — used when you have several sites and haven't said which one to analyze. |
Requirements
- Node.js 18+
- A Google account with access to a Search Console property
- A Google Cloud OAuth client (free — steps below)
Quick start
# 1. Get an OAuth refresh token (interactive, one-time)
npx github:Vrealmatic/gsc-mcp-server get-token
# 2. Save the printed JSON as config.json, then point your MCP client at the server (see below)
That's it — the assistant can now query your Search Console.
Getting credentials
You need four values: CLIENT_ID, CLIENT_SECRET, REFRESH_TOKEN, and
SITE_URL. Step 1 creates the OAuth client (the CLIENT_ID / CLIENT_SECRET);
in step 2 you exchange those for a REFRESH_TOKEN — pick either method, both
produce the same result.
Step 1 — Create an OAuth client
- Open the Google Cloud Console and create (or pick) a project.
- Enable the Google Search Console API: APIs & Services → Library → search "Search Console API" → Enable.
- Configure the OAuth consent screen (External is fine). Add yourself as a Test user so you can authorize without app verification.
- APIs & Services → Credentials → Create credentials → OAuth client ID.
- Application type: Web application
- Add both of these as Authorized redirect URIs (so either method below
works):
http://localhost:5858/oauth2callback— for the helper scripthttps://developers.google.com/oauthplayground— for the OAuth Playground
- Copy the generated Client ID and Client secret.
Step 2 — Get a refresh token (pick one method)
Method A — Helper script (recommended)
npx github:Vrealmatic/gsc-mcp-server get-token
It asks for your Client ID, Client secret, and site URL, opens a browser for you
to grant access, then prints a ready-to-paste config.json. Uses the
http://localhost:5858/oauth2callback redirect URI.
Method B — Google OAuth Playground (no local helper)
Handy if you can't or don't want to run the script — everything happens in the browser:
- Open the OAuth Playground.
- Click the ⚙️ gear (top right) → check Use your own OAuth credentials → paste your Client ID and Client secret.
- In the left panel, scroll to the bottom field "Input your own scopes" and
enter:
https://www.googleapis.com/auth/webmasters.readonly - Click Authorize APIs, sign in, and grant access.
- Click Exchange authorization code for tokens — copy the Refresh token.
Then assemble config.json by hand (next step) with that refresh token.
SITE_URL(needed by both methods) must match the property exactly as it appears in Search Console:
- URL-prefix property:
https://example.com/(note the trailing slash)- Domain property:
sc-domain:example.com
Step 3 — Save config.json
{
"CLIENT_ID": "…",
"CLIENT_SECRET": "…",
"REFRESH_TOKEN": "…",
"SITE_URL": "https://example.com/"
}
Save it anywhere outside the repo and point the server at it with --config
(e.g. ~/.gsc/config.json). Keep it private — it grants read access to your
Search Console data. If you do keep it inside the project folder, it's already
covered by .gitignore.
Multiple sites
One config can hold several properties. Replace SITE_URL with a SITES array
(the OAuth account must have access to each one):
{
"CLIENT_ID": "…",
"CLIENT_SECRET": "…",
"REFRESH_TOKEN": "…",
"SITES": ["https://example.com/", "sc-domain:another-site.com"]
}
How site selection works:
- Every tool takes an optional
siteUrlargument. Just name the site in your question — "compare last month for another-site.com" — and the assistant passes it through. A partial match is enough (another-siteresolves tosc-domain:another-site.com). - If you don't specify a site and several are configured, the tool returns the list of available sites and the assistant will ask you which one to use. It never silently picks one.
- The
list_sitestool lets the assistant enumerate the configured properties at any time. - With only one site configured (
SITE_URLor a single-entrySITES),siteUrlis optional and that site is always used.
To keep properties fully isolated instead (separate tokens, separate clients),
register multiple MCP server entries, each with its own --config.
Connecting your MCP client
The server speaks MCP over stdio. Pass your credentials with --config:
Claude Desktop
Edit claude_desktop_config.json
(macOS: ~/Library/Application Support/Claude/,
Windows: %APPDATA%\Claude\):
{
"mcpServers": {
"search-console": {
"command": "npx",
"args": [
"-y",
"github:Vrealmatic/gsc-mcp-server",
"--config",
"/absolute/path/to/config.json"
]
}
}
}
Claude Code
claude mcp add search-console -- npx -y github:Vrealmatic/gsc-mcp-server --config /absolute/path/to/config.json
Local clone
git clone https://github.com/Vrealmatic/gsc-mcp-server.git
cd gsc-mcp-server
npm install
node index.js --config ./config.json
You can also pass credentials via environment variables (CLIENT_ID,
CLIENT_SECRET, REFRESH_TOKEN, SITE_URL) instead of --config.
Example
Once connected, just talk to your assistant:
You: My organic traffic feels lower this month. What dropped between May and June?
The assistant calls compare_periods and replies:
Comparing 2026-05-01 → 2026-05-31 vs 2026-06-01 → 2026-06-23, the biggest click losses are:
Page May clicks June clicks Δ /guides/onboarding1,240 410 −830 /pricing980 720 −260 /blog/seo-basics540 360 −180
/guides/onboardinglost two-thirds of its clicks and its average position slipped from 3.1 to 7.8 — that single page explains most of the drop. Want me to pullpage_detailsfor it to see which queries fell?
You: Yes, and show me where the easy wins are.
It then runs page_details and top_opportunities to point you at queries
sitting at positions 4–20 (a small ranking gain there yields a big click jump)
and high-impression pages with weak CTR.
How it works
- Built on the official
@modelcontextprotocol/sdk. - Authenticates to Google with the
googleapisOAuth2 client and a long-lived refresh token, scoped towebmasters.readonly. - One or more properties per server instance (
SITE_URLorSITES); see Multiple sites above.
Security
- The OAuth scope is read-only (
webmasters.readonly). - Your
config.json/ refresh token are stored locally and never leave your machine except to talk to Google's API. Do not commit them. - Revoke access anytime at Google Account → Security → Third-party access.
License
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