What are the prerequisites?
Python 3.9+ and a GitHub Personal Access Token with appropriate scopes. A GitHub Enterprise instance is optional (the public GitHub API can be used).
@vipink1203
基本情報
A powerful Model Context Protocol (MCP) server for GitHub Enterprise that enables AI agents to access and manage enterprise users, organizations, and licenses.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"github-mcp-bridge": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}Get all users in the GitHub Enterprise instance
Get detailed information for a specific user
Get all organizations a user belongs to
Get all organizations in the enterprise
Get email addresses for a user
Get all licenses in the GitHub Enterprise instance
Get detailed information for a specific license
Get all consumed licenses with detailed user information
GitHub MCP Bridge is a Model Context Protocol (MCP) server that enables AI agents like Claude and ChatGPT to securely access and interact with GitHub Enterprise data. It provides a bridge for managing enterprise users, organizations, emails, and license information.
Install Python 3.9+, set up a virtual environment, install dependencies from requirements.txt, then set required environment variables (GITHUB_TOKEN, GITHUB_ENTERPRISE_NAME, TRANSPORT, PORT). Run python main.py or use the provided setup.sh script. For containerized use, deploy with Docker Compose alongside n8n or on Kubernetes. Configure MCP clients (e.g., Claude Desktop) via stdio or SSE transport in their settings file.
Python 3.9+ and a GitHub Personal Access Token with appropriate scopes. A GitHub Enterprise instance is optional (the public GitHub API can be used).
Set environment variables (`GITHUB_TOKEN`, `GITHUB_ENTERPRISE_NAME`, `TRANSPORT`, `PORT`) and run `python main.py`. Alternatively, use `./setup.sh` or deploy with Docker Compose.
The server supports stdio (for direct integration with MCP clients) and SSE (Server‑Sent Events, for standalone service). The transport is selected via the `TRANSPORT` environment variable.
The server exposes eight tools: `list_enterprise_users`, `get_user_info`, `list_user_organizations`, `list_enterprise_organizations`, `get_user_emails`, `list_enterprise_licenses`, `get_license_info`, and `list_consumed_licenses`.
Store your GitHub token securely and use appropriate scopes. For production, consider AWS Secrets Manager or similar, and implement network policies in Kubernetes deployments.
MCP server for getting github trending repos & developers

The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.
A Git MCP server for AI agents. STDIO & Streamable HTTP.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra
コメント