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.

Category
Visit Server

README

πŸ” 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 Googleβ€”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

πŸ—οΈ Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     OAuth 2.0      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚     User's      β”‚ ──────────────────→│   Your Hosted        β”‚
β”‚     Browser     │←──────────────────→│   MCP Server         β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                                 ↓
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    MCP over SSE    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  Claude Desktop β”‚ ←─────────────────→│  Stored User Token   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                                 ↓
                                       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                                       β”‚  Google Search       β”‚
                                       β”‚  Console API         β”‚
                                       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸš€ 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 Credentials β†’ Create Credentials β†’ OAuth 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 server β†’ https://your-domain.com
  2. Click "Sign in with Google" β†’ OAuth flow
  3. Get unique API key β†’ 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! β†’ "List my GSC properties"

πŸ› οΈ 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

πŸ”’ 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

πŸ“ Project Structure

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

🌐 Environment Variables

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

πŸ“Š 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

πŸ“„ License

MIT License - see LICENSE file.

πŸ‘¨β€πŸ’» Author

Amin Foroutan - SEO Consultant & Developer


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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured