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    Mcp Github Enterprise

    A powerful Model Context Protocol (MCP) server for GitHub Enterprise that enables AI agents to access and manage enterprise users, organizations, and licenses.

    0 stars
    Python
    Updated Apr 29, 2025

    Table of Contents

    • 📊 Capabilities & Example Prompts
    • 🌟 Features
    • 📋 Prerequisites
    • 🚀 Quick Start
    • 1. Clone & Install
    • 2. Configure
    • 3. Run
    • stdio transport
    • SSE transport
    • 🐳 Docker & n8n
    • 🔌 Client Configuration
    • 🔌 MCP Tools & Resources
    • Tools
    • Resources

    Table of Contents

    • 📊 Capabilities & Example Prompts
    • 🌟 Features
    • 📋 Prerequisites
    • 🚀 Quick Start
    • 1. Clone & Install
    • 2. Configure
    • 3. Run
    • stdio transport
    • SSE transport
    • 🐳 Docker & n8n
    • 🔌 Client Configuration
    • 🔌 MCP Tools & Resources
    • Tools
    • Resources

    Documentation

    MCP GITHUB ENTERPRISE 🌉

    Python >=3.9

    MCP Protocol

    GitHub API

    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.

    ---

    📊 Capabilities & Example Prompts

    • 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?"

    ---

    🌟 Features

    • 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

    ---

    📋 Prerequisites

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

    ---

    🚀 Quick Start

    1. Clone & Install

    bash
    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

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

    3. Run

    stdio transport

    bash
    export TRANSPORT=stdio
    python main.py

    SSE transport

    bash
    export TRANSPORT=sse PORT=8050
    python main.py

    🐳 Docker & n8n

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

    yaml
    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

    🔌 Client Configuration

    ### Claude Desktop / Windsurf / Cursor

    Add this configuration to your Claude Desktop settings:

    json
    {
       "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"
          }
        }
    }

    ### SSE Configuration

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

    ## 📊 Example Use Cases

    • 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

    🔌 MCP Tools & Resources

    Tools

    NameDescription
    list_consumed_licensesSummarize licenses, optionally include users
    get_user_organizationsList a user's GitHub org memberships
    get_user_enterprise_rolesList a user's enterprise roles
    get_user_detailFull license detail for a user

    Resources

    URIDescription
    github://consumed-licenses/{dummy}Full license usage + user details
    github://user/{username}/rolesOrg & enterprise roles for a user

    ## 🔒 Security Considerations

    • 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

    ## 🤝 Contributing

    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

    ## 📜 License

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

    ## 🙏 Acknowledgements

    • 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.

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