What is the purpose of the server?
It enables AI assistants like Claude to interact with GitHub by providing a set of API endpoints for user details, repository management, issues, and starring.
@snehaapratap
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-snehaapratap": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This server implements a Model Context Protocol (MCP) server using FastAPI, enabling AI assistants like Claude to interact with GitHub. It provides API endpoints to fetch user details, manage repositories, create issues, and automate GitHub workflows.
Clone the repository, create a virtual environment, install dependencies, and set your GITHUB_TOKEN environment variable. Then run uvicorn server:app --reload to start the server on http://127.0.0.1:8000. Use the provided API endpoints via cURL or an AI assistant.
It enables AI assistants like Claude to interact with GitHub by providing a set of API endpoints for user details, repository management, issues, and starring.
Set the `GITHUB_TOKEN` environment variable in a `.env` file with your GitHub Personal Access Token (PAT) that has the `repo` scope.
The server uses HTTP, implemented with FastAPI and Uvicorn.
The server requires Python 3, FastAPI, and other packages listed in `requirements.txt`.
It returns meaningful error messages with a hint, for example an invalid token suggests ensuring the token has the `repo` scope.

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