What data does this server access?
It accesses GitHub Enterprise license data via the `/consumed-licenses` endpoint, including license summaries, user details, org memberships, and enterprise roles.
@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": {
"mcp-github-enterprise": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}Summarize licenses, optionally include users
List a user's GitHub org memberships
List a user's enterprise roles
Full license detail for a user
A Model Context Protocol (MCP) server that lets AI agents query your GitHub Enterprise license data. It fetches license summaries, per-user details, org memberships, and enterprise roles via the /consumed-licenses endpoint. Designed for enterprise admins and AI workflows.
Requires Python 3.9+, a GitHub PAT with read:enterprise / license scopes, and a GitHub Enterprise Cloud tenant. Clone the repo, install dependencies, set GITHUB_TOKEN and GITHUB_ENTERPRISE_URL in a .env file, then run with TRANSPORT=stdio or TRANSPORT=sse PORT=8050. Also available as a Docker image for n8n or Kubernetes deployment.
list_consumed_licenses, get_user_organizations, get_user_enterprise_roles, get_user_detailIt accesses GitHub Enterprise license data via the `/consumed-licenses` endpoint, including license summaries, user details, org memberships, and enterprise roles.
Two transports: stdio (for direct MCP client integration like Claude Desktop) and SSE (for HTTP-based access, e.g., with n8n).
Python 3.9+, a GitHub Personal Access Token with `read:enterprise` and license scopes, and a GitHub Enterprise Cloud tenant.
Store your token in environment variables (`.env`), use limited scopes, and consider AWS Secrets Manager or similar for production deployments.
Yes, pagination is built-in to automatically handle enterprises with many users.
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