Enables AI-powered image generation using Cloudflare's Flux model for authorized users
Allows deployment of the MCP server to Cloudflare Workers with Durable Objects for state management and persistence
Provides OAuth authentication for users to connect to the MCP server with their GitHub accounts, including role-based access control based on GitHub usernames
Model Context Protocol (MCP) Server + GitHub OAuth + Analytics
This is a Model Context Protocol (MCP) server that supports remote MCP connections, with GitHub OAuth authentication and built-in analytics tracking powered by MCP Analytics.
You can deploy it to your own Cloudflare account, and after you create your own GitHub OAuth client app, you'll have a fully functional remote MCP server with comprehensive analytics. Users will be able to connect to your MCP server by signing in with their GitHub account, and you'll get detailed insights into tool usage, performance, and user behavior.
Features
- ✅ GitHub OAuth Authentication - Secure user authentication via GitHub
- ✅ Remote MCP Protocol - Full MCP server implementation
- ✅ Analytics Tracking - Automatic tracking of tool usage, performance, and user metrics
- ✅ Access Control - Role-based tool access based on GitHub usernames
- ✅ Image Generation - AI-powered image generation for authorized users
- ✅ Production Ready - Deployed on Cloudflare Workers with Durable Objects
Analytics Dashboard
This server automatically tracks:
- 📊 Tool Usage - Which tools are used most frequently
- ⏱️ Performance Metrics - Execution times and success rates
- 👥 User Analytics - Active users and session data
- 🔧 Error Tracking - Failed requests and error details
- 💰 Revenue Tracking - Payment events (if using paid tools)
View your analytics at: https://mcpanalytics.dev
Getting Started
Clone the repo directly & install dependencies:
Setup Instructions
1. MCP Analytics Setup
- Sign up at https://mcpanalytics.dev
- Create a new project and get your API key
- Add the API key to your environment:
2. GitHub OAuth Setup
For Production
Create a new GitHub OAuth App:
- Homepage URL:
https://your-worker-name.your-subdomain.workers.dev
- Authorization callback URL:
https://your-worker-name.your-subdomain.workers.dev/callback
- Note your Client ID and generate a Client secret
Set secrets via Wrangler:
For Local Development
Create another GitHub OAuth App for development:
- Homepage URL:
http://localhost:8788
- Authorization callback URL:
http://localhost:8788/callback
Create a .dev.vars
file:
3. KV Namespace Setup
4. Configure Access Control
Edit the ALLOWED_USERNAMES
in your main file to control who can access the image generation tool:
Deployment
Deploy to Cloudflare Workers:
Your MCP server will be available at:
https://your-worker-name.your-subdomain.workers.dev/sse
Testing Your Server
Using MCP Inspector
Enter your server URL and test the authentication flow.
Using Claude Desktop
- Open Claude Desktop → Settings → Developer → Edit Config
- Add this configuration:
- Restart Claude Desktop and complete the OAuth flow
- Test with: "Could you use the math tool to add 23 and 19?"
Using Other MCP Clients
Cursor: Use command format: npx mcp-remote https://your-worker-url/sse
Windsurf: Add the same JSON configuration as Claude Desktop
Available Tools
add
(All Users)
Simple math addition tool for testing connectivity.
Usage: "Add 5 and 3"
generateImage
(Authorized Users Only)
AI-powered image generation using Cloudflare's Flux model.
Usage: "Generate an image of a sunset over mountains"
Parameters:
prompt
: Description of the image to generatesteps
: Quality steps (4-8, higher = better quality)
Analytics Integration
This server uses the AnalyticsMcpAgent which automatically tracks:
- ✅ Tool Execution Times - How long each tool takes to run
- ✅ Success/Failure Rates - Which tools work reliably
- ✅ User Sessions - Who's using your server and when
- ✅ Parameter Logging - What inputs users are providing (safely sanitized)
- ✅ Error Details - Full error context for debugging
- ✅ GitHub User Data - Email and username from OAuth (for user analytics)
Viewing Analytics
- Visit https://dashboard.mcpanalytics.dev
- Sign in with the same account used to create your API key
- View real-time dashboards showing:
- Tool usage trends
- Performance metrics
- User activity
- Error rates and details
Local Development
Start the development server:
Your server will be available at http://localhost:8788/sse
Architecture
OAuth Provider
The OAuth Provider library serves as a complete OAuth 2.1 server implementation, handling:
- MCP client authentication
- GitHub OAuth integration
- Token management and validation
- Secure state storage in Cloudflare KV
Analytics Agent
The AnalyticsMcpAgent extends the base MCP functionality with:
- Automatic event tracking for all tool calls
- User identification via OAuth props
- Performance monitoring and error tracking
- Safe parameter and result logging
Durable Objects
Provides persistent state management with:
- User session continuity
- Authentication context preservation
- Scalable real-time connections
Security & Privacy
- 🔒 OAuth 2.1 - Industry standard authentication
- 🔐 Encrypted Tokens - All auth data encrypted in transit and storage
- 🛡️ Access Control - Fine-grained permissions per GitHub user
- 🧹 Data Sanitization - Sensitive data automatically redacted from logs
- ⏰ Token Expiration - Automatic token refresh and expiration
Troubleshooting
Common Issues
"Invalid API key" in analytics: Verify your MCP_ANALYTICS_API_KEY
is set correctly
OAuth callback errors: Ensure your GitHub OAuth app URLs match your deployment URLs exactly
Tools not appearing: Check that the user's GitHub username is in ALLOWED_USERNAMES
for restricted tools
Connection timeouts: Verify your Worker is deployed and responding at the correct URL
Support
- 📖 MCP Analytics Docs: https://docs.mcpanalytics.dev
- 💬 GitHub Issues: For bugs and feature requests
- 📧 Email Support: Available for Pro plan users
License
MIT License - see LICENSE file for details.
This server cannot be installed
A Model Context Protocol server that enables AI models to access tools through GitHub authentication and provides comprehensive analytics tracking of tool usage, performance, and user behavior.
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