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MCP Github Enterprise

A GitHub Enterprise license data query service based on the MCP protocol, which allows AI agents to obtain enterprise-level data such as license usage and user permissions through the API.
2 points
16

What is MCP GitHub Enterprise?

MCP GitHub Enterprise is a middleware service that allows AI assistants (such as Claude, ChatGPT, etc.) to query your GitHub Enterprise license usage through a standard protocol. It provides a secure way to obtain key data such as user permissions and license consumption within the organization.

How to use MCP GitHub Enterprise?

Simply configure your GitHub Personal Access Token (PAT) and enterprise URL, and the service can run through a simple command line or SSE (Server-Sent Events) interface. AI assistants can obtain the required information through natural language queries.

Use cases

Suitable for scenarios such as enterprise IT management, license monitoring, user permission auditing, and organizational structure analysis. It is particularly suitable for teams that need AI assistants to assist in processing GitHub Enterprise data.

Main Features

License AnalysisProvides a comparative analysis of the total number of licenses and the number of used licenses to help you understand license usage.
User QueryAllows you to query detailed information such as a user's organizational membership, enterprise role, and 2FA status.
Automatic PaginationAutomatically handles data pagination for large enterprises without manual operation.
Dual Transport ModeSupports two communication methods: direct stdio interaction and SSE HTTP interface.

Advantages and Limitations

Advantages
Seamlessly integrates AI assistants with GitHub Enterprise data
Provides enterprise-level secure access control
Supports Kubernetes deployment for easy scalability
Simplifies complex API calls and allows queries through natural language
Limitations
Requires a GitHub Enterprise account
Requires administrator privileges to configure the access token
There may be delays in querying large-scale enterprise data

How to Use

Clone and Install
First, clone the code repository and create a Python virtual environment.
Configure the Environment
Copy the example configuration file and set the GitHub access token and enterprise URL.
Run the Service
Select the transport mode (stdio or SSE) and start the service.

Usage Examples

License MonitoringRegularly check the enterprise license usage to avoid overuse.
User Permission AuditCheck the organizational permissions and roles of a specific user.

Frequently Asked Questions

What GitHub permissions are required?
Which AI assistants are supported?
How to handle large enterprise data?

Related Resources

GitHub Enterprise API Documentation
Official GitHub Enterprise API reference documentation
Model Context Protocol SDK
MCP Python SDK code repository
Example Docker Configuration
Example Docker configuration for integration with n8n
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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