Google Search Console MCP Server
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., "@Google Search Console MCP Servershow me search analytics for sc-domain:example.com last month"
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
MCP (Model Context Protocol) server for Google Search Console API. Enables Claude to query GSC data automatically.
Quick Start
1. Install Dependencies
npm install2. Run Server
npm startServer will start on http://localhost:3000
MCP endpoint:
http://localhost:3000/mcpHealth check:
http://localhost:3000/health
3. Deploy to Replit (Recommended)
Fork/import this repo into Replit
Click "Run" button
Copy the public URL (e.g.,
https://[project].replit.dev)In Claude.ai:
Settings → Connectors → Add Custom Connector
Name: "Google Search Console"
Remote MCP server URL:
https://[project].replit.dev/mcpSave & Connect
Authorize your Google account when prompted
Related MCP server: GSC Analyst Connector
Available Tools
get_search_analytics
Query Search Console performance data for a date range.
Parameters:
siteUrl: Site URL (e.g.,sc-domain:gogolfvietnam.com)startDate: YYYY-MM-DD formatendDate: YYYY-MM-DD formatdimensions: Array of dimensions to group by (query, page, country, device)rowLimit: Max rows to return (default: 25000)
get_sites
List all verified sites in your Search Console account.
set_access_token
Set OAuth2 access token (called automatically by Claude after authorization).
Environment
No environment variables required. OAuth2 tokens are managed by Claude.ai.
License
MIT
This server cannot be deployed
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