A Model Context Protocol (MCP) server that lets AI agents (Claude, ChatGPT, etc.) query your GitHub Enterprise license data. Securely fetch license summaries, per-user details, org memberships, and enterprise roles via the /consumed-licenses endpoint.

• License Summary
  • "Show me our GitHub Enterprise license summary"
  • "How many licenses are we currently using?"

• Detailed License Usage
  • "List all consumed GitHub licenses"
  • "Do we have any unused GitHub licenses?"

• User Lookup
  • "What GitHub orgs does johndoe belong to?"
  • "What enterprise roles does johndoe have?"
  • "Is johndoe an owner in our enterprise?"
  • "Get detailed info about johndoe"
  • "Does johndoe have 2FA enabled?"

• License Analytics: Total vs. consumed seats
• User Lookup: Org memberships, roles, 2FA, SAML ID
• Pagination: Handles large enterprises automatically
• Dual Transports: stdio for direct MCP, SSE for HTTP
• Kubernetes-Ready: Deploy on EKS/GKE or any K8s cluster

• Python 3.9+
• GitHub PAT with read:enterprise / license scopes
• GitHub Enterprise Cloud tenant

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

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

export TRANSPORT=stdio
python main.py

export TRANSPORT=sse PORT=8050
python main.py

Add this service to your docker-compose.yml alongside n8n:

services:
  github-mcp:
    image: ghcr.io/vipink1203/mcp-github-enterprise:latest
    environment:
      - GITHUB_TOKEN=${GITHUB_TOKEN}
      - GITHUB_ENTERPRISE_URL=${GITHUB_ENTERPRISE_URL}
      - TRANSPORT=sse
      - PORT=8050
    ports:
      - "8050:8050"
    restart: unless-stopped
    networks:
      - n8n-network

In n8n's UI, enable the MCP client:

• Settings → Credentials → New Credential
• Choose MCP Client API, set URL to http://github-mcp:8050/sse

Add this configuration to your Claude Desktop settings:

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

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

• Enterprise User Management: Automate user onboarding and offboarding
• License Monitoring: Get alerts when licenses are close to expiration
• Organization Analysis: Analyze organization structures and relationships
• User Access Auditing: Track user permissions and access levels
• AI-powered GitHub Insights: Let AI analyze your enterprise GitHub data

• Store your GitHub token securely
• Use appropriate scopes for your GitHub token
• For production, consider using AWS Secrets Manager or similar
• Implement network policies in Kubernetes deployments

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Model Context Protocol for the Python SDK
• MCP-Mem0 for providing a great template structure
• GitHub API for the comprehensive API

Built with ❤️ for seamless AI ↔️ GitHub Enterprise integration.