GSC-MCP-Server

Google Search Console MCP Server — Connect Google Search Console to Claude, Cursor, and other MCP clients.

Features

• 🔍 Search Analytics — Query clicks, impressions, CTR, and position data

• 📊 SEO Opportunities — Find low-CTR keywords, detect cannibalization issues

• 📈 Reports — Weekly summaries, period comparisons

• 🗺️ Sitemaps — List, submit, and manage sitemaps

• 🔎 URL Inspection — Check indexing status (requires full scope)

• 💾 Caching — SQLite cache for faster repeated queries

• 🔐 Secure — OAuth tokens stored in OS keychain

Quick Start

# Install globally
npm install -g @appsyogi/gsc-mcp-server

# Set up OAuth credentials
gsc-mcp init

# Verify setup
gsc-mcp doctor

# Start the server (for MCP clients)
gsc-mcp run

Prerequisites

1. Create Google Cloud OAuth Credentials

You need to create your own OAuth credentials in Google Cloud Console:

1. Go to Google Cloud Console

2. Create a new project or select an existing one

3. Enable the Google Search Console API:

   • Go to "APIs & Services" → "Library"

   • Search for "Google Search Console API"

   • Click "Enable"

4. Create OAuth credentials:

   • Go to "APIs & Services" → "Credentials"

   • Click "Create Credentials" → "OAuth client ID"

   • Choose "Desktop application"

   • Name it (e.g., "GSC-MCP")

   • Click "Create"

5. Copy the Client ID and Client Secret

6. Add test users (required while app is in testing mode):

   • Go to "APIs & Services" → "OAuth consent screen"

   • Scroll to "Test users" section

   • Click "Add users"

   • Add the Google account email(s) you'll use to authenticate

   • Click "Save"

Note: While your app's publishing status is "Testing", only test users can authenticate. You can add up to 100 test users.

2. Configure GSC-MCP

Run the init command and enter your credentials:

gsc-mcp init

This will:

• Prompt for your Client ID and Client Secret

• Open a browser for Google authentication

• Store your refresh token securely in the OS keychain

Usage

CLI Commands

# Initialize with OAuth (interactive)
gsc-mcp init

# Initialize with service account
gsc-mcp init --service-account /path/to/key.json

# Initialize with full scope (for sitemap submission, URL inspection)
gsc-mcp init --scope full

# Check configuration and connectivity
gsc-mcp doctor
gsc-mcp doctor --verbose

# Start MCP server (stdio mode)
gsc-mcp run

# Start in HTTP mode (for debugging)
gsc-mcp run --http 3333

# View current configuration
gsc-mcp config

# Clear credentials
gsc-mcp logout

MCP Client Configuration

Claude Desktop

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

{
  "mcpServers": {
    "gsc": {
      "command": "gsc-mcp",
      "args": ["run"]
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP settings (~/.vscode/mcp.json or workspace settings):

{
  "servers": {
    "gsc": {
      "command": "gsc-mcp",
      "args": ["run"],
      "type": "stdio"
    }
  }
}

Cursor

Add to your Cursor MCP config:

{
  "mcpServers": {
    "gsc": {
      "command": "npx",
      "args": ["-y", "@appsyogi/gsc-mcp-server", "run"]
    }
  }
}

Available Tools

Search Analytics

Sitemaps

URL Inspection

SEO Opportunities

Export

LLM Optimization (v0.2.0+)

All tools support parameters to reduce token consumption for LLM use cases:

Compact Response Format

Add format: "compact" to any tool for LLM-optimized output:

{
  "siteUrl": "sc-domain:example.com",
  "startDate": "2026-01-01",
  "endDate": "2026-01-28",
  "dimensions": ["query"],
  "format": "compact"
}

Compact format features:

• Short key names (imp instead of impressions, pos instead of position)

• CTR as percentage string ("5.41%" instead of 0.054123...)

• Natural language summary field

• URL prefixes stripped from page paths

Example compact response:

{
  "summary": "Top query 'example keyword' got 150 clicks at position 3.2",
  "rows": [
    {"key": "example keyword", "clicks": 150, "imp": 2800, "ctr": "5.36%", "pos": 3.2}
  ]
}

Date Rollup Granularity

For date dimension queries, use granularity to reduce row count:

{
  "siteUrl": "sc-domain:example.com",
  "startDate": "2025-07-01",
  "endDate": "2026-01-28",
  "dimensions": ["date"],
  "granularity": "weekly"
}

Options:

• daily — Default, returns daily data

• weekly — Aggregates by week (Monday-based)

• monthly — Aggregates by month

• auto — Picks based on date range (>90 days = monthly, >21 days = weekly)

Default Row Limits

Default rowLimit is 25 (optimized for LLM context windows). Use higher values when needed:

{
  "siteUrl": "sc-domain:example.com",
  "rowLimit": 100
}

Maximum: 25,000 rows.

Resources

The server exposes browsable resources:

• gsc://sites — List all properties

• gsc://sites/{siteUrl}/sitemaps — List sitemaps for a property

Scopes

GSC-MCP supports two permission levels:

Readonly (default)

• Search analytics queries

• List sitemaps

• SEO analysis tools

gsc-mcp init  # Uses readonly by default

Full

• Everything in readonly, plus:

• Submit/delete sitemaps

• URL inspection

gsc-mcp init --scope full

Configuration Files

GSC-MCP stores configuration in platform-specific locations:

Files:

• config.json — OAuth client ID/secret, scope settings

• cache.sqlite — Query cache and saved presets

Tokens are stored securely in the OS keychain when available.

Service Account Setup

For automated/server use, you can use a service account instead of OAuth:

1. Create a service account in Google Cloud Console

2. Download the JSON key file

3. Add the service account email as an owner in Google Search Console

4. Initialize:

gsc-mcp init --service-account /path/to/key.json

API Quotas

Google Search Console API has a default quota of 1,200 queries per day. GSC-MCP includes:

• Automatic retry with exponential backoff

• Query caching to reduce API calls

• Pagination handling for large result sets

Examples

Find Quick-Win Keywords

Use gsc-mcp to find quick-win opportunities for my site https://example.com

Weekly Report

Generate a weekly performance summary for https://example.com

Compare Periods

Compare search performance for https://example.com between last week and the week before

Export Data

Export the top 1000 queries for https://example.com in the last 28 days as CSV

Development

# Clone the repo
git clone https://github.com/AppsYogi-com/gsc-mcp-server.git
cd gsc-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run in dev mode
npm run dev

# Test locally
node dist/cli/index.js doctor

License

MIT

Contributing

Contributions are welcome! Please open an issue or PR.

Credits

Built with:

• @modelcontextprotocol/sdk

• googleapis

• commander

• better-sqlite3