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mcp-github

Interact with GitHub repositories and manage issues by listing and creating them efficiently. Provides secure authentication and includes error handling and validation features.

Author

mcp-github logo

timbuchinger

No License

Quick Info

GitHub GitHub Stars 0
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

githubgitrepositoriesgit workflowmcp githubgithub repositories

GitHub MCP Server

A Model Context Protocol (MCP) server implementation for interacting with GitHub issues through Cline.

Features

  • List GitHub issues from a repository
  • Create new GitHub issues
  • Error handling and validation
  • Secure authentication via environment variables

Installation

  1. Clone the repository:
git clone https://github.com/timbuchinger/mcp-github.git
cd mcp-github
  1. Install dependencies with uv:
pip install uv
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -r requirements.txt
  1. Copy the environment template and configure your GitHub token:
cp .env.template .env

Edit .env and add your GitHub Personal Access Token:

GITHUB_TOKEN=your_token_here

To create a GitHub Personal Access Token: 1. Go to GitHub Settings -> Developer settings -> Personal access tokens 2. Generate a new token with repo scope 3. Copy the token and paste it in your .env file

Usage

Run the MCP server:

python -m src.mcp_github.server

The server will start and expose two tools to Cline:

get_issues

Get a list of issues from a GitHub repository:

{
  "repo": "owner/repo"
}

create_issue

Create a new issue in a GitHub repository:

{
  "repo": "owner/repo",
  "title": "Issue title",
  "body": "Issue description"
}

Error Handling

The server handles common errors: - Missing GitHub token - Invalid repository name - Missing required parameters - GitHub API errors

Error responses include descriptive messages to help troubleshoot issues.

Development

The project uses uv for dependency management. To set up a development environment:

```bash

Install all dependencies (including dev dependencies)

uv pip install -r requirements.txt

Run tests

pytest

Format code

black .

Type checking

mypy .

See Also

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