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GitHub PR Issue Analyser

by saidsef

MCP for GitHub PR, Issues, Tags and Releases

The Model Context Protocol (MCP) is an open standard that enables seamless integration between Large Language Models (LLMs) and external tools. Whilst it can be implemented in any AI system, including custom LLM setups, the degree of integration and optimisation varies based on the model's architecture and capabilities.

This MCP application serves as a bridge between LLMs and GitHub's repository management features, offering automated analysis of pull requests and comprehensive issue management. It provides a robust set of tools to fetch PR details, create issues, and update issues directly from your desktop LLM. The application is designed with modularity in mind, supporting extensibility via the MCP tool interface and seamless integration with existing workflows.

The toolset enables automated PR analysis, issue tracking, tagging and release management through a standardised MCP interface, making it ideal for teams seeking to streamline their GitHub workflow automation.

Features

FunctionDescription
Analyse GitHub Pull Requests and fetch diffsRetrieve the diff/patch for any PR in a repository.
Fetch content and metadata for specific PRsGet PR title, description, author, timestamps, and state.
Update PR title and descriptionChange the title and body of any PR.
Add comments to PRsPost general comments to a PR thread.
Add inline review comments to PRsComment on specific lines in PR files for code review.
Create and update GitHub IssuesOpen new issues or update existing ones with title, body, labels, and state.
Create tags and releasesTag repository commits and publish releases with changelogs.
Retrieve IPv4 and IPv6 informationGet public IP address details for both IPv4 and IPv6.
List all open Issues or Pull RequestsView all open PRs or issues for any user or organisation.

Requirements

  • Python 3.11+
  • GitHub Personal Access Token (with repo scope)

Architecture Diagram

+------------------------+ | | | MCP Client/User | | | +------------------------+ | | (stdio/SSE) v +--------------------+ +------------------------+ | | | PRIssueAnalyser | | IP Integration | <------------| (FastMCP Server) | | (ipinfo.io) | | | +--------------------+ +------------------------+ | | (API calls) v +------------------------+ | GitHub Integration | +------------------------+ | | (REST API) +-------------------------+-------------------------+ | | | +-------------+ +--------------+ +-------------+ | GitHub PRs | |GitHub Issues | |GitHub Tags/ | | & Releases | | | | Releases | +-------------+ +--------------+ +-------------+

Features:

  1. PR Management: Fetch, analyze, and update
  2. Issue Tracking: Create and update
  3. Release Management: Tags and releases
  4. Network Info: IPv4/IPv6 details

Main Flows:

  • PRIssueAnalyser: Main MCP server handling tool registration and requests
  • GitHub Integration: Manages all GitHub API interactions
  • IP Integration: Handles IPv4/IPv6 information retrieval
  • MCP Client: Interacts via stdio or Server-Sent Events (SSE)

Local Installation

  1. Clone the repository:
git clone https://github.com/saidsef/mcp-github-pr-issue-analyser.git cd mcp-github-pr-issue-analyser
  1. Install dependencies:

Launch MCP in stdio mode.

export GITHUB_TOKEN="<github-token>" uvx ./

Alternatively, launch MCP in sse mode.

export GITHUB_TOKEN="<github-token>" export MCP_ENABLE_REMOTE=true uvx ./

You can access it via sse i.e. http(s)://localhost:8080/sse

Local Integration with Desktop LLMs

To add an MCP server to your desktop LLM such as Claude etc.., you need to add this section to the configuration file. The basic structure involves defining a server name and providing the command and any necessary arguments to run the server.

{ "mcpServers": { "github_pr_issues": { "command": "uvx", "env": { "GITHUB_TOKEN": "<your-github-token>" }, "args": [ "https://github.com/saidsef/mcp-github-pr-issue-analyser.git" ] } } }

Source

Our latest and greatest source of mcp-github-pr-issue-analyser can be found on [GitHub]. Fork us!

Contributing

We would : you to contribute by making a pull request.

Please read the official Contribution Guide for more information on how you can contribute.

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

  1. Features
    1. Requirements
      1. Architecture Diagram
        1. Features:
        2. Main Flows:
      2. Local Installation
        1. Local Integration with Desktop LLMs
          1. Source
            1. Contributing

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