"A tool or assistant to review and suggest changes for GitHub pull requests" matching MCP servers:

Enables LLM clients to list, read, review, and comment on GitHub pull requests, turning an AI assistant into a fully capable code reviewer.

An MCP server that automates code review by providing syntax checking, code explanation, and improvement suggestions using a multi-agent system.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.

Python MCP server for GitHub operations, providing native tool integration with Claude Code and other MCP clients. It enables managing issues, pull requests, CI status, milestones, and batch operations via natural language.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

A secure MCP server for interacting with GitHub issues, pull requests, repository files, and search, supporting both github.com and GitHub Enterprise Server.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

AI-powered code review using Zhipu GLM. It gathers git diffs and source context to provide focused code reviews.

Enables interaction with GitLab projects, merge requests, issues, and code reviews through Claude AI, providing tools for code review and project management.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Connects LLMs to GitHub and GitLab to analyze pull and merge requests for logic, security, and architectural alignment. It provides tools for fetching diffs, file contents, and project metadata, alongside guided prompts for professional code reviews.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.

A lightweight MCP server for GitHub with nine essential tools for reading files, managing pull requests, and creating issues, using personal access token authentication.

A production-grade MCP server that connects Claude Desktop to GitHub, offering deterministic analytics on developers, repositories, issues, and pull requests through natural language.