MCP Github OAuth Server: Enhanced Integration for AI Applications

Overview: What is MCP Github OAuth Server?

The Model Context Protocol (MCP) Github OAuth Server is an advanced solution designed to facilitate secure, seamless remote connections and data exchanges between AI applications like Claude Desktop, Continue, Cursor, and more. By leveraging the power of GitHub OAuth, this server allows users to connect via their GitHub accounts, ensuring a robust security framework for both authentication and authorization.

🔧 Core Features & MCP Capabilities

This MCP Github OAuth Server offers essential features that are pivotal for AI application integration:

1. OAuth 2.1 Implementation: The server integrates Cloudflare Workers with the workers-oauth-provider library to handle OAuth flows, making it compatible with various OAuth providers including GitHub.

2. Persistent State Management: Utilizing Durable Objects provided by Cloudflare's Workers infrastructure, this server ensures persistent state management and secure storage of authentication context between requests, enhancing user experience and security.

3. MCP Server Functionality: This server extends the base MCP protocol to support remote connections with AI applications. It acts as both an OAuth Client (to GitHub) and an OAuth Server to MCP clients, ensuring seamless data flow and tool execution.

4. Conditional Tool Availability: Based on user identity, certain tools can be restricted or allowed, providing granular control over which features are accessible to specific users.

5. Real-Time Communication: The implementation of the MCP Remote library enables real-time communication via Server-Sent Events (SSE), allowing seamless interaction between clients and the server during workflow processes.

⚙️ MCP Architecture & Protocol Implementation

The architecture of the MCP Github OAuth Server is designed to handle complex interactions between AI applications, data sources, and user authentication securely. Key components include:

1. OAuth Provider: A comprehensive library that handles all aspects of the OAuth flow, including token issuance, validation, and management.

2. Durable MCP: Extends the base MCP functionality by providing persistent state management, secure authentication context storage, access to authenticated user information via this.props, and conditional tool availability.

3. MCP Remote: Enables structured communication between clients and servers, defining tools, handling serialization/deserialization, and maintaining SSE connections.

🚀 Getting Started with Installation

To deploy the MCP Github OAuth Server, follow these steps:

1. Clone the repository and install dependencies:

   git clone [repository-url]
   npm install
   

2. Deploy it to your Cloudflare account using Wrangler commands:

   npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-github-oauth
   

3. Set up the necessary secrets and KV namespace in Wrangler:

   wrangler secret put GITHUB_CLIENT_ID
   wrangler secret put GITHUB_CLIENT_SECRET
   wrangler secret put COOKIE_ENCRYPTION_KEY # add any random string here e.g. openssl rand -hex 32
   

4. Create a new GitHub OAuth App with the appropriate URLs and save the Client ID and Secret.

5. Deploy and test using Inspector:

   npm install @modelcontextprotocol/inspector@latest
   npx @modelcontextprotocol/inspector@latest -e https://mcp-github-oauth.<your-subdomain>.workers.dev/sse
   

💡 Key Use Cases in AI Workflows

1. Data Retrieval and Analysis:

   A user logs into Claude Desktop, which connects to the MCP Github OAuth Server through GitHub. The server retrieves data from a specific data source, processes it, and sends real-time updates via SSE back to the client for analysis.
   

2. Custom Tool Execution:

   A model developer uses Continue to define custom tools that perform complex calculations or generate images based on user input. These tools run on the MCP Github OAuth Server, providing results in real-time to the client via MCP Remote.
   

🔌 Integration with MCP Clients

The compatibility matrix for this server is as follows:

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

📊 Performance & Compatibility Matrix

This section outlines the performance and compatibility of the MCP Github OAuth Server with different tools, ensuring that users can connect to various AI applications without encountering issues.

🛠️ Advanced Configuration & Security

For advanced configuration and security measures:

1. Restrict Tool Access: Define allowed user names for accessing specific tools.

   const ALLOWED_USERNAMES = new Set([
     'yourusername',
     'teammate1'
   ]);
   

2. Use Custom Secrets: Set secrets via Wrangler to secure the environment.

   wrangler secret put GITHUB_CLIENT_ID
   wrangler secret put GITHUB_CLIENT_SECRET
   

❓ Frequently Asked Questions (FAQ)

1. How do I integrate my own OAuth provider with this server?

   • Follow Cloudflare's documentation on integrating other OAuth providers using workers-oauth-provider.

2. Can I use the same server for multiple MCP clients?

   • Yes, by configuring different endpoints and clients as needed.

3. What tools are currently supported?

   • Tools such as "add" and "userInfoOctokit" are available; others depend on client compatibility.

4. How do I handle tool restrictions during authentication?

   • Define specific user groups using ALLOWED_USERNAMES within the server's configuration file.

5. Are there any known issues with GPU acceleration support?

   • The current implementation does not directly support GPU acceleration, focusing on text-based tools and functionalities.

👨‍💻 Development & Contribution Guidelines

Developers are welcome to contribute by:

1. Forking the repository.
2. Making changes to improve functionality.
3. Submitting pull requests with detailed descriptions of changes.

🌐 MCP Ecosystem & Resources

Explore additional resources for working with MCP servers and clients:

• Model Context Protocol Documentation
• Cloudflare Workers Documentation
• GitHub OAuth Docs

MCP Protocol Flow Diagram:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

MCP Client Compatibility Matrix:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

MCP Configuration Sample:

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

This comprehensive documentation provides a detailed guide for developers looking to enhance their AI applications through effective MCP integration.