MCP-Github-Enterprise Server: Seamless Integration for AI Applications

Overview: What is the MCP-Github-Enterprise Server?

The MCP-Github-Enterprise Server acts as an essential bridge, allowing AI applications such as Claude Desktop, ChatGPT, and other similar tools to interact with GitHub Enterprise licenses securely. This server adheres strictly to the Model Context Protocol (MCP), enabling detailed license analysis, user management, and real-time data updates, thereby streamlining the use of enterprise resources through a unified interface.

🔧 Core Features & MCP Capabilities

The MCC-Github-Enterprise Server leverages MCP to provide robust capabilities that enhance AI application integrations. By securely fetching and presenting GitHub Enterprise-related data, it supports dynamic license management, user role querying, and comprehensive license usage analysis. Key features include:

• License Summary: Retrieve a high-level overview of the licenses used by your organization.
• Detailed License Usage: Breakdown of specific licensing details for targeted insights.
• User Lookup: Comprehensive querying functionalities to manage GitHub user roles, organizations, two-factor authentication status, and more.
• Pagination & Dual Transports: Efficient handling of large datasets through automatic pagination and support for both stdio and SSE transports.

⚙️ MCP Architecture & Protocol Implementation

The architecture integrates seamlessly with the Model Context Protocol (MCP) infrastructure. The server exposes an /consumed-licenses endpoint, allowing AI applications to query essential enterprise data:

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

This structure ensures that the server can effectively communicate with various AI applications and data sources, providing real-time updates on GitHub Enterprise license consumption.

🚀 Getting Started with Installation

Starting your MCP-Github-Enterprise Server is straightforward. Follow these steps:

1. Clone & Install

   git clone https://github.com/vipink1203/mcp-github-enterprise.git
   cd mcp-github-enterprise
   python -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt
   

2. Configure

   cp .env.example .env 
   # Edit .env: set GITHUB_TOKEN and GITHUB_ENTERPRISE_URL
   

3. Run the Server

   • stdio transport

     export TRANSPORT=stdio
     python main.py
     

   • SSE transport

     export TRANSPORT=sse PORT=8050
     python main.py
     

💡 Key Use Cases in AI Workflows

The MCC-Github-Enterprise Server can significantly boost AI workflows by providing valuable insights and automating tasks:

1. Enterprise User Management: Automate user onboarding and offboarding processes with real-time status updates.
2. License Monitoring: Receive alerts when licenses are near expiration or if there's an imbalance in resource usage.
3. Organization Analysis: Analyze the structure of your organization, including department roles and interactions.
4. User Access Auditing: Track user permissions and access levels to ensure compliance with security policies.

🔌 Integration with MCP Clients

To integrate this server with different AI applications like Claude Desktop, Continue, and Cursor, refer to the following configuration details:

Claude Desktop / Windsurf / Cursor Configuration

Add the following configuration to your Claude Desktop settings:

{
  "mcpServers": {
    "github-ent": {
      "command": "/path/to/your/venv/bin/python",
      "args": ["/path/to/main.py"],
      "env": {
        "GITHUB_TOKEN": "",
        "GITHUB_ENTERPRISE_URL": "https://api.github.com/enterprises/{enterprise_name}",
        "TRANSPORT": "stdio"
      }
    }
  }
}

SSE Configuration

{
  "mcpServers": {
    "github": {
      "transport": "sse",
      "url": "http://localhost:8050/sse"
    }
  }
}

📊 Performance & Compatibility Matrix

The MCC-Github-Enterprise Server offers broad compatibility with several MCP clients:

MCP Client Compatibility Matrix

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

🛠️ Advanced Configuration & Security

To ensure secure and reliable operation, follow these steps:

• Store your GitHub token securely: Consider using AWS Secrets Manager or similar solutions.
• Use appropriate scopes for the GitHub token: Ensure minimum permissions to enhance security.
• Production Considerations: Implement network policies in Kubernetes deployments.

❓ Frequently Asked Questions (FAQ)

1. Q: How do I troubleshoot connection issues?
   • A: Check your GITHUB_TOKEN and ensure it has the required scopes. Verify your /consumed-licenses endpoint is correctly configured.
2. Q: Can this server handle large enterprises?
   • A: Yes, the built-in pagination ensures smooth data processing even with extensive datasets.
3. Q: Is there support for multiple MCP clients simultaneously?
   • A: Absolutely, each client can be configured independently as needed.
4. Q: How do I scale the server in a Kubernetes environment?
   • A: Use deployment strategies supported by EKS/GKE to ensure high availability and performance.
5. Q: Can this server integrate with third-party tools without modification?
   • A: Yes, it supports multiple transport protocols (stdio and SSE), making integration flexible.

👨‍💻 Development & Contribution Guidelines

Contributions are always welcome! Follow these steps to contribute:

1. Fork the Repository: Start by forking the main repository.
2. Create a Feature Branch: Work on your branch with new features or fixes.
3. Commit Changes: Push your changes back to GitHub.
4. Open a Pull Request: Submit your PR for review.

🌐 MCP Ecosystem & Resources

The MCP ecosystem is rich in tools and resources that can further enhance integration:

Tools

• list_consumed_licenses: Summarizes licenses, optionally including users
• get_user_organizations: Lists all organizations associated with a user
• get_user_enterprise_roles: Retrieves enterprise roles for a specified user
• get_user_detail: Provides detailed information about a user's license usage and more

Example Resources

• GitHub Enterprise: URI - github://consumed-licenses/{dummy}: Full license summary + user data.
• Organization & Enterprise Roles: URI - github://user/{username}/roles: Org memberships, roles, 2FA status.

🔒 Security Considerations

Ensure that:

• The GitHub token is stored securely and managed via a secrets management system like AWS Secrets Manager or similar.
• Minimal required scopes are used for the GitHub token to maintain security.
• Network policies in Kubernetes deployments (EKS/GKE) are implemented for additional security layers.

By following these guidelines, you can effectively secure your MCP-Github-Enterprise Server's environment and protect sensitive data against unauthorized access.

Conclusion

With the MCC-Github-Enterprise Server, developers can significantly streamline their AI workflows by integrating seamless communication with GitHub Enterprise. The server leverages the Model Context Protocol to provide comprehensive features for license monitoring, user management, and more — all while adhering to strict security standards. We hope this documentation serves as a valuable resource for implementing MCP integrations in your own projects.