GSC MCP Server v2 - Remote Edition

GSC MCP Server v2 - Remote Edition

Connects Claude AI to Google Search Console with OAuth 2.0 authentication, enabling users to analyze search performance, inspect URLs, manage sitemaps, and export analytics data through natural language conversations.

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README

🔍 GSC MCP Server v2 - Remote Edition

A hosted MCP server that connects Claude AI to Google Search Console with OAuth 2.0 web authentication. Users simply sign in with Google—no API keys or credentials to manage!

MCP Python License

✨ What's Different About v2?

Feature v1 (Local) v2 (Remote)
Authentication Local credentials file OAuth 2.0 web flow
Setup Complex Just sign in with Google!
Hosting Your machine Any cloud platform
Multi-user Single user Multiple users supported

🏗️ Architecture

┌─────────────────┐     OAuth 2.0      ┌──────────────────────┐
│     User's      │ ──────────────────→│   Your Hosted        │
│     Browser     │←──────────────────→│   MCP Server         │
└─────────────────┘                    └──────────────────────┘
                                                 ↓
┌─────────────────┐    MCP over SSE    ┌──────────────────────┐
│  Claude Desktop │ ←─────────────────→│  Stored User Token   │
└─────────────────┘                    └──────────────────────┘
                                                 ↓
                                       ┌──────────────────────┐
                                       │  Google Search       │
                                       │  Console API         │
                                       └──────────────────────┘

🚀 Quick Start

1. Set Up Google OAuth (Web Application)

  1. Go to Google Cloud Console
  2. Create a new project or select existing
  3. Enable APIs:
  4. Go to CredentialsCreate CredentialsOAuth client ID
  5. Select Web application
  6. Add authorized redirect URI: https://your-domain.com/oauth/callback
  7. Save your Client ID and Client Secret

2. Deploy

Option A: Railway (Easiest)

Deploy on Railway

  1. Click the button above
  2. Set environment variables:
    • GOOGLE_CLIENT_ID
    • GOOGLE_CLIENT_SECRET
    • GOOGLE_REDIRECT_URI (your Railway URL + /oauth/callback)
    • BASE_URL (your Railway URL)

Option B: Docker

# Build
docker build -t gsc-mcp-server .

# Run
docker run -p 8000:8000 \
  -e GOOGLE_CLIENT_ID="your-client-id" \
  -e GOOGLE_CLIENT_SECRET="your-secret" \
  -e GOOGLE_REDIRECT_URI="https://your-domain.com/oauth/callback" \
  -e BASE_URL="https://your-domain.com" \
  -v ./data:/app/data \
  gsc-mcp-server

Option C: Manual

# Clone
git clone https://github.com/AminForou/google-search-console-mcp-v2.git
cd google-search-console-mcp-v2

# Install
pip install -r requirements.txt

# Set environment variables
export GOOGLE_CLIENT_ID="your-client-id"
export GOOGLE_CLIENT_SECRET="your-secret"
export GOOGLE_REDIRECT_URI="http://localhost:8000/oauth/callback"

# Run
uvicorn gsc_server_remote:app --host 0.0.0.0 --port 8000

3. User Flow

  1. Users visit your serverhttps://your-domain.com
  2. Click "Sign in with Google" → OAuth flow
  3. Get unique API key → Displayed after login
  4. Configure Claude Desktop:
{
  "mcpServers": {
    "gscServer": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://your-domain.com/mcp/USER_API_KEY/sse"]
    }
  }
}
  1. Start chatting! → "List my GSC properties"

🛠️ Available Tools

Tool Description
list_properties List all GSC properties
get_search_analytics Search performance data
get_performance_overview Performance summary
find_keyword_opportunities Find ranking opportunities
get_top_pages Top performing pages
get_device_comparison Mobile vs desktop
get_country_breakdown Traffic by country
inspect_url URL indexing status
get_sitemaps List sitemaps
submit_sitemap Submit new sitemap
request_indexing Request URL indexing
export_analytics Export to CSV/JSON

🔒 Security Considerations

  • HTTPS Required: Always use HTTPS in production
  • API Keys: Each user gets a unique key - treat it like a password
  • Token Storage: Uses SQLite by default - use PostgreSQL for production
  • CORS: Restrict origins in production
  • Rate Limiting: Add rate limiting for production

📁 Project Structure

google-search-console-mcp-v2/
├── gsc_server_remote.py    # Main server application
├── requirements.txt        # Python dependencies
├── Dockerfile             # Docker configuration
├── .gitignore            # Git ignore rules
└── README.md             # This file

🌐 Environment Variables

Variable Required Description
GOOGLE_CLIENT_ID OAuth client ID
GOOGLE_CLIENT_SECRET OAuth client secret
GOOGLE_REDIRECT_URI OAuth callback URL
BASE_URL Public server URL
SECRET_KEY Session encryption key
DATABASE_PATH SQLite path (default: gsc_tokens.db)

📊 API Endpoints

Endpoint Method Description
/ GET Home page with login
/oauth/login GET Start OAuth flow
/oauth/callback GET OAuth callback
/oauth/revoke/{user_id} GET Revoke user access
/mcp/{user_id}/sse GET MCP SSE endpoint
/health GET Health check
/api/status/{user_id} GET User auth status

🤝 Contributing

Contributions welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request

📄 License

MIT License - see LICENSE file.

👨‍💻 Author

Amin Foroutan - SEO Consultant & Developer


⭐ If you find this useful, please star the repo!

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