Overview
What is MCP Server PR Agent?
MCP Server PR Agent is a server that manages and analyzes pull requests using the Model Context Protocol (MCP) framework. It is designed for developers and teams who want to integrate PR review and analysis into MCP-based workflows.
How to use MCP Server PR Agent?
Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file from .env.sample with the required credentials, then run the server with python server.py.
Key features of MCP Server PR Agent
- Manages pull requests via the MCP framework
- Analyzes pull requests with AI (OpenAI)
- Supports multiple Git providers (e.g., GitHub)
- Configurable via environment variables
- Lightweight Python server
Use cases of MCP Server PR Agent
- Automate PR analysis in an MCP-based development environment
- Integrate PR management into AI-powered coding assistants
- Streamline code review workflows with automated insights
- Enable custom PR analysis tools using OpenAI models
FAQ from MCP Server PR Agent
What is MCP Server PR Agent?
It is a server that provides pull request management and analysis using the Model Context Protocol, requiring an OpenAI API key and a Git provider token.
How do I set up MCP Server PR Agent?
Clone the repo, install dependencies with pip, copy .env.sample to .env and fill in the required values, then run python server.py.
What environment variables are required?
The server requires GIT_PROVIDER, OPENAI_API_KEY, OPENAI_API_TYPE, OPENAI_API_VERSION, OPENAI_API_BASE, OPENAI_API_DEPLOYMENT, and GITHUB_USER_TOKEN.
What dependencies does MCP Server PR Agent need?
It requires Python and the packages listed in requirements.txt, along with access to OpenAI and a Git provider API.
How do I run MCP Server PR Agent?
After setup, execute python server.py from the project directory.
