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.
README
π 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 Googleβno API keys or credentials to manage!
β¨ 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 |
ποΈ Architecture
βββββββββββββββββββ OAuth 2.0 ββββββββββββββββββββββββ
β User's β ββββββββββββββββββββ Your Hosted β
β Browser ββββββββββββββββββββββ MCP Server β
βββββββββββββββββββ ββββββββββββββββββββββββ
β
βββββββββββββββββββ MCP over SSE ββββββββββββββββββββββββ
β Claude Desktop β ββββββββββββββββββββ Stored User Token β
βββββββββββββββββββ ββββββββββββββββββββββββ
β
ββββββββββββββββββββββββ
β Google Search β
β Console API β
ββββββββββββββββββββββββ
π Quick Start
1. Set Up Google OAuth (Web Application)
- Go to Google Cloud Console
- Create a new project or select existing
- Enable APIs:
- Search Console API
- Indexing API (optional)
- Go to Credentials β Create Credentials β OAuth client ID
- Select Web application
- Add authorized redirect URI:
https://your-domain.com/oauth/callback - Save your Client ID and Client Secret
2. Deploy
Option A: Railway (Easiest)
- Click the button above
- Set environment variables:
GOOGLE_CLIENT_IDGOOGLE_CLIENT_SECRETGOOGLE_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
- Users visit your server β
https://your-domain.com - Click "Sign in with Google" β OAuth flow
- Get unique API key β Displayed after login
- Configure Claude Desktop:
{
"mcpServers": {
"gscServer": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://your-domain.com/mcp/USER_API_KEY/sse"]
}
}
}
- Start chatting! β "List my GSC properties"
π 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 |
π 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
π Project Structure
google-search-console-mcp-v2/
βββ gsc_server_remote.py # Main server application
βββ requirements.txt # Python dependencies
βββ Dockerfile # Docker configuration
βββ .gitignore # Git ignore rules
βββ README.md # This file
π Environment Variables
| Variable | Required | Description |
|---|---|---|
GOOGLE_CLIENT_ID |
β | OAuth client ID |
GOOGLE_CLIENT_SECRET |
β | OAuth client secret |
GOOGLE_REDIRECT_URI |
β | OAuth callback URL |
BASE_URL |
β‘ | Public server URL |
SECRET_KEY |
β‘ | Session encryption key |
DATABASE_PATH |
β | SQLite path (default: gsc_tokens.db) |
π 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 |
π€ Contributing
Contributions welcome! Please:
- Fork the repository
- Create a feature branch
- Submit a pull request
π License
MIT License - see LICENSE file.
π¨βπ» Author
Amin Foroutan - SEO Consultant & Developer
- π aminforoutan.com
- πΌ LinkedIn
- π¦ Twitter
- πΊ YouTube
β If you find this useful, please star the repo!
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.