GitHub Self Reviewer MCP Server

The gh‑self‑reviewer MCP server is a lightweight Go service that bridges the gap between GitHub pull requests and AI assistants such as Claude. By exposing a set of MCP endpoints, it allows an assistant to query the list of open PRs in a user’s repositories and to post comments directly on those PRs, all through natural language prompts. This eliminates the need for developers to manually navigate GitHub’s UI or run command‑line tools when they want an AI‑powered code review, making the feedback loop faster and more integrated into their daily workflow.

At its core, the server implements three primary capabilities: listing PRs, fetching PR details, and posting comments. When Claude receives a request to list open pull requests, the server authenticates with GitHub using a personal access token and returns a concise summary of each PR, including title, author, and URL. For review tasks, the assistant can provide a specific PR link; the server then retrieves the full diff and any existing discussion, allowing the AI to generate a thoughtful comment that is automatically posted back to GitHub. These actions are exposed through the Model Control Protocol, meaning Claude can invoke them seamlessly as if they were built‑in tools.

Developers benefit from this integration in several ways. First, it reduces context switching: a single chat window can list PRs, request a review, and apply comments without leaving the assistant. Second, it standardizes code review practices—every PR receives consistent feedback from the same AI model, which can enforce style guidelines or security checks. Third, it scales across multiple repositories; the server automatically aggregates PRs from all owned projects, so a single prompt can surface work across an entire organization. In practice, teams might use it to perform quick sanity checks before a formal review or to surface overlooked edge cases in large diffs.

The server’s design emphasizes ease of setup and security. A simple environment variable holds the GitHub token, keeping credentials out of configuration files or command lines. Once registered in Claude’s MCP configuration, the server becomes an available tool that can be called with natural language commands like “List my open pull requests” or “Review PR 123 and add a comment.” The MCP framework ensures that Claude can discover these capabilities automatically, making the integration plug‑and‑play.

Unique to gh‑self‑reviewer is its tight coupling with GitHub’s API and the MCP specification, enabling bidirectional communication: Claude can not only request data but also perform actions that affect the repository. This contrasts with typical read‑only AI assistants and opens possibilities for automated triage, issue labeling, or even auto‑merging once certain conditions are met. For developers looking to embed AI into their CI/CD pipelines or enhance code quality checks, gh‑self‑reviewer provides a focused, secure, and developer‑friendly solution.