Advertise
MCP.so
Sign In

Github MCP Server Review Tools

@wjessup

Repository

Basic information

Category

Version Control

Transports

stdio

Author

wjessup

About Github MCP Server Review Tools

Extended GitHub MCP Server with additional tools for pull request review comment functionality

#github#mcp#server#review#tools

Github MCP Server Review Tools config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "github-mcp-server-review-tools": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp/github",
        "-f",
        "src/github/Dockerfile",
        "."
      ]
    }
  }
}

Github MCP Server Review Tools tools

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.

Overview

What is Github Mcp Server Review Tools?

Github Mcp Server Review Tools is an MCP server that provides tools for interacting with GitHub pull request reviews, comments, and threads. It enables developers to fetch, reply, resolve, and check review threads via a Model Context Protocol–compatible client such as Cursor.

How to use Github Mcp Server Review Tools?

Install the project with yarn && yarn start. Configure the server in your MCP client (e.g., Cursor) by setting the command to node with the path to the compiled dist/index.js and providing a GITHUB_PERSONAL_ACCESS_TOKEN environment variable. Use the tools listed in the README to perform review operations.

Key features of Github Mcp Server Review Tools

  • Get a specific pull request review
  • Get a specific pull request review comment
  • Reply to a pull request review comment
  • Mark a pull request review thread as resolved
  • Check if all threads in a review are resolved
  • Retrieve threads from a specific review
  • Get all review threads for a pull request
  • Get a single review thread with full comment details

Use cases of Github Mcp Server Review Tools

  • Fetching and reviewing pull request feedback in an AI-assisted chat interface
  • Replying to comments directly from your development environment
  • Resolving review threads after addressing feedback
  • Programmatically checking resolution status of all threads in a review

Frequently asked questions

1

What authentication is required?

A GitHub personal access token must be provided via the `GITHUB_PERSONAL_ACCESS_TOKEN` environment variable.

2

What are the runtime dependencies?

Node.js and Yarn are required to build and run the server from source.

3

Does the server support Docker deployment?

A Dockerfile is included (`src/github/Dockerfile`) but has not been tested by the author.

4

Where does the data reside?

All data is accessed via the GitHub API using the provided personal access token. No local storage is mentioned.

5

What transport protocol is used?

The server follows the Model Context Protocol, which typically uses stdio transport; the README does not specify alternative transports.

Comments

More Version Control MCP servers

Linear MCP Server

cline

a private MCP server for accessing Linear

133

AIO-MCP Server

athapong

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from https://github.com/nguyenvanduocit/all-in-one-model-context-protocol

36

GitLab MCP Server

yoda-digital

Production-grade GitLab MCP server with 86 tools — full GitLab control from any AI agent (Claude, Cursor, Zed).

59

Gerrit Review MCP Server

cayirtepeomer

This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.

37

Jira MCP

nguyenvanduocit

A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra

92
Advertise