Google Search Console MCP Server

Google Search Console MCP Server

A Model Context Protocol (MCP) server that connects Google Search Console to AI assistants like Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. Analyze your SEO data, inspect URLs, find keyword opportunities, and track search performance — all through natural language.

No Google Cloud setup required. Install, authenticate with your Google account, and start querying your Search Console data in under 2 minutes.

What Can You Do?

Ask Claude questions like:

• "What are my top performing pages this month?"
• "Find keywords where I have high impressions but low CTR"
• "Compare my search performance this month vs last month"
• "Is this URL indexed? Any issues?"
• "Show me my brand vs non-brand traffic split"

Quick Start

1. Install

npm install -g google-searchconsole-mcp

2. Authenticate (one time)

gsc-mcp-auth

Opens your browser — log in with your Google account and grant Search Console read access. Your tokens are saved locally to ~/.gsc-mcp/tokens/. Your data stays on your machine.

Multiple accounts:

gsc-mcp-auth --alias work
gsc-mcp-auth --alias personal
gsc-mcp-auth --list

3. Add to Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "google-search-console": {
      "command": "npx",
      "args": ["-y", "google-searchconsole-mcp"]
    }
  }
}

Restart Claude Desktop. Done — your Search Console data is now available in Claude.

Use with Other MCP Clients

Works with any MCP-compatible client including Cursor, Windsurf, VS Code + Cline, and more. Just point the MCP client to:

npx google-searchconsole-mcp

Available Tools (13 SEO Tools)

Examples

Example 1: Find your top performing pages

User prompt: "Show me my top 10 pages by clicks for the last 30 days"

Expected behavior:

• Calls get_top_pages with your site URL, date range of last 30 days, sortBy: "clicks", and limit: 10
• Returns a ranked list of your top 10 pages with clicks, impressions, CTR, and average position for each
• Helps identify your strongest content and highest-traffic landing pages

Example 2: Discover keyword optimization opportunities

User prompt: "Find keywords where I have high impressions but low CTR on example.com"

Expected behavior:

• Calls find_keyword_opportunities with your site URL and a 28-day date range
• Filters for queries with 100+ impressions and less than 3% CTR within the top 20 positions
• Returns a list of keywords where better titles, meta descriptions, or content could significantly increase clicks

Example 3: Check if a URL is indexed by Google

User prompt: "Check if https://example.com/blog/my-new-post is indexed"

Expected behavior:

• Calls inspect_url with the site property and the full URL to inspect
• Returns indexing status (indexed, crawled but not indexed, not found, etc.), last crawl date, mobile usability status, and any rich results detected
• Identifies issues preventing indexing such as robots.txt blocks, noindex tags, or crawl errors

Example 4: Compare this month vs last month

User prompt: "Compare my search performance this month vs last month for example.com"

Expected behavior:

• Calls compare_performance with current and previous month date ranges
• Returns queries that gained or lost the most clicks, with delta values for clicks, impressions, CTR, and position
• Highlights trending keywords and declining pages to prioritize optimization efforts

Use Cases

• SEO Performance Monitoring — Track clicks, impressions, CTR, and average position over time
• Keyword Research & Opportunities — Find keywords you rank for with high impressions but low CTR
• Content Optimization — Identify which pages need improvement based on search data
• Technical SEO Audits — Check URL indexing status, sitemap health, and mobile usability
• Competitive Analysis — Compare performance periods to spot trends and drops
• Reporting — Export data for SEO reports and dashboards
• Brand Monitoring — Track brand vs non-brand search traffic

How Authentication Works

This package ships with built-in OAuth credentials — you don't need to create a Google Cloud project. When you run gsc-mcp-auth:

1. Your browser opens Google's login page
2. You log in with your Google account
3. You grant read-only access to your Search Console data
4. Tokens are saved locally on your machine (~/.gsc-mcp/tokens/)

Your data never leaves your machine. The OAuth credentials just identify the app — each user authenticates separately and can only access their own Search Console data.

Advanced: Use Your Own OAuth Credentials

If you prefer to use your own Google Cloud project:

Option A: Environment variables

export GSC_CLIENT_ID="your-client-id"
export GSC_CLIENT_SECRET="your-client-secret"

Option B: Credentials fileSave your OAuth credentials JSON to ~/.gsc-mcp/credentials.json

1. Go to Google Cloud Console
2. Create a project (or select existing)
3. Enable the Google Search Console API
4. Go to Credentials > Create Credentials > OAuth 2.0 Client ID
5. Choose Desktop app as application type
6. Download the credentials JSON file

Requirements

• Node.js >= 18
• A Google account with access to Google Search Console

Related

• Model Context Protocol — The open standard for AI-tool integration
• Claude Desktop — Anthropic's desktop AI assistant
• MCP Server Registry — Curated list of MCP servers

Privacy Policy

See PRIVACY.md for our complete privacy policy.

TL;DR: This extension runs locally on your machine. OAuth tokens are stored locally in ~/.gsc-mcp/, and all Search Console data is queried directly from Google's API without passing through any intermediary. No data is collected, stored, or transmitted to any third party by this MCP server.

License

MIT