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

MCP server for interacting with GitHub pull requests and issues via natural language. Provides tools to list PRs, inspect diffs, check CI status, and post review comments with write-safety guards.

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 generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

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 AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.

Enables AI to perform peer review of its own code changes by displaying annotated diffs with inline comments in a VS Code/Cursor panel. The AI can analyze its modifications and provide explanations directly alongside the changed code, similar to human code review workflows.

Lets MCP-compatible clients answer natural-language questions about your GitHub activity, such as counting today's commits across all your repositories via the GitHub REST API.

A read-only MCP server for the Bitbucket Cloud REST API v2.0 that enables AI assistants to browse workspaces, repositories, and review pull requests.

Enables managing GitHub repositories, files, and user information through MCP, with support for creating, updating, and deleting repository contents, as well as fetching user profiles.

Provides accurate, source-grounded breaking-change briefings for npm packages by reading real GitHub release notes and CHANGELOGs, helping coding agents avoid hallucinated dependency migrations.

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

Enables AI assistants to perform comprehensive GitHub pull request code reviews, including analysis of code patterns, complexity, and security issues, while managing review comments and ensuring compliance with team coding standards.

A Model Context Protocol server that provides read-only access to GitHub repositories, enabling AI assistants to perform code reviews without write permissions.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Enables users to read and manage GitHub repositories through MCP, with destructive operations gated behind explicit confirmation and dry-run previews.

Local MCP server for safe GitHub developer workflows. Enables pulling main, creating feature branches, pushing them, and opening ready-for-review pull requests via tools like github_create_feature_branch and github_create_pull_request.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Enables AI assistants to review GitHub and GitLab pull requests and merge requests, supporting multiple transports and custom review rules.

Enables code review operations on GitHub and GitLab, including fetching pull/merge requests, viewing diffs, adding comments, analyzing code quality, and creating merge requests directly from your MCP client.