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
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP GitHub OAuth Analytics Servergenerate an image of a futuristic city skyline at night"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: GitHub MCP Server
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:
git clone <your-repo-url>
cd mcp-github-oauth-analytics
npm installSetup 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:
# For production
wrangler secret put MCP_ANALYTICS_API_KEY
# For local development (.dev.vars file)
MCP_ANALYTICS_API_KEY=your_api_key_here2. GitHub OAuth Setup
For Production
Create a new GitHub OAuth App:
Homepage URL:
https://your-worker-name.your-subdomain.workers.devAuthorization callback URL:
https://your-worker-name.your-subdomain.workers.dev/callbackNote your Client ID and generate a Client secret
Set secrets via Wrangler:
wrangler secret put GITHUB_CLIENT_ID
wrangler secret put GITHUB_CLIENT_SECRET
wrangler secret put COOKIE_ENCRYPTION_KEY # Use: openssl rand -hex 32For Local Development
Create another GitHub OAuth App for development:
Homepage URL:
http://localhost:8788Authorization callback URL:
http://localhost:8788/callback
Create a .dev.vars file:
GITHUB_CLIENT_ID=your_development_github_client_id
GITHUB_CLIENT_SECRET=your_development_github_client_secret
COOKIE_ENCRYPTION_KEY=your_random_encryption_key
MCP_ANALYTICS_API_KEY=your_analytics_api_key3. KV Namespace Setup
# Create the KV namespace
wrangler kv:namespace create "OAUTH_KV"
# Update wrangler.toml with the returned KV ID4. Configure Access Control
Edit the ALLOWED_USERNAMES in your main file to control who can access the image generation tool:
const ALLOWED_USERNAMES = new Set<string>([
'yourusername',
'teammate1',
'teammate2'
]);Deployment
Deploy to Cloudflare Workers:
wrangler deployYour MCP server will be available at:
https://your-worker-name.your-subdomain.workers.dev/sse
Testing Your Server
Using MCP Inspector
npx @modelcontextprotocol/inspector@latestEnter your server URL and test the authentication flow.
Using Claude Desktop
Open Claude Desktop → Settings → Developer → Edit Config
Add this configuration:
{
"mcpServers": {
"github-mcp": {
"command": "npx",
"args": [
"mcp-remote",
"https://your-worker-name.your-subdomain.workers.dev/sse"
]
}
}
}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
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:
wrangler devYour 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.
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