About
A Model Context Protocol server that lets AI agents query GitHub Enterprise license data, user memberships, roles, and 2FA status via the /consumed-licenses endpoint. It supports stdio and SSE transports, Kubernetes deployment, and easy integration with n8n or Claude.
Capabilities
MCP GitHub Enterprise Bridge
The MCP GitHub Enterprise Bridge is a purpose‑built Model Context Protocol server that unlocks your GitHub Enterprise data for AI assistants. It exposes a single, well‑defined endpoint that returns license summaries, per‑user details, organization memberships, and enterprise roles. By translating GitHub’s REST API into the MCP schema, the server lets Claude, ChatGPT, or any MCP‑compatible agent answer questions about license usage and user access without needing to write custom integrations.
What Problem Does It Solve?
Large enterprises often maintain dozens of GitHub organizations and hundreds or thousands of users. Tracking license consumption, identifying unused seats, and auditing user roles manually is tedious and error‑prone. The bridge eliminates this operational overhead by providing a declarative, queryable interface that AI assistants can call directly. Instead of pulling data from the GitHub API, an assistant can ask, “Show me our license summary” or “Does johndoe have 2FA enabled?”, and the MCP server will return structured, up‑to‑date answers. This reduces reliance on spreadsheets, manual scripts, and repeated API calls.
Core Value for Developers
- Seamless AI Integration: The server speaks MCP, so any agent that understands the protocol can interact with it out of the box. No custom adapters or SDKs are required.
- Secure, Scoped Access: Only the GitHub Personal Access Token (PAT) with and license scopes is needed, keeping credentials minimal.
- Kubernetes‑Ready: The container image can be deployed on any cloud or on‑premises cluster, making it ideal for CI/CD pipelines and automated workflows.
- Dual Transport Support: It offers both stdio (direct MCP) and Server‑Sent Events (SSE) transports, giving flexibility in how agents communicate—whether locally or over HTTP.
Key Features Explained
- License Analytics: Quickly retrieve the total number of seats versus those currently consumed, helping teams spot over‑provisioning or under‑utilization.
- User Lookup: Resolve a user’s organization memberships, enterprise roles, 2FA status, and SAML ID—all in one query.
- Automatic Pagination: Large enterprises with many users are handled transparently; the server streams results without burdening the client.
- Extensible Resources: The toolset includes , , , and , each mapping cleanly to MCP resources.
- Docker & n8n Compatibility: A ready‑to‑use Docker image can be plugged into existing n8n workflows, enabling low‑code automation that triggers on license thresholds or role changes.
Real‑World Use Cases
- Enterprise User Management: Automate onboarding/offboarding by querying license availability before provisioning a new account.
- License Monitoring: Set alerts when seats are close to exhaustion or when unused licenses can be reclaimed.
- Organization Analysis: Map out the structure of multiple GitHub orgs and their inter‑relationships for audit or governance purposes.
- User Access Auditing: Continuously track which users hold high‑privilege roles or lack 2FA, feeding findings into security dashboards.
- AI‑Powered Insights: Feed the data to an AI assistant that can generate reports, suggest optimization strategies, or answer ad‑hoc questions in natural language.
The MCP GitHub Enterprise Bridge turns raw GitHub data into an AI‑friendly knowledge base, enabling developers and security teams to harness the power of conversational agents for real‑time, data‑driven decision making.
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