How I Review Pull Requests with Claude (and Actually Merge Them)
The author describes how they use Anthropic's Model Context Protocol (MCP) to integrate Claude, an AI assistant, with GitHub to streamline the pull request review process.
Why it matters
This approach demonstrates how AI can be leveraged to streamline and enhance developer workflows, improving productivity and reducing cognitive load.
Key Points
- 1The author's typical PR review workflow was inefficient, involving context switching between GitHub and the local codebase.
- 2MCP allows Claude to directly interact with GitHub through a local server, providing access to repositories, branches, commits, issues, and pull requests.
- 3The author built a GitHub MCP server with over 44 tools, enabling Claude to understand the codebase and perform actions like merging pull requests.
Details
The author explains that the traditional PR review process involves a lot of mental overhead and context switching, which can be frustrating, especially when reviewing one's own PRs. To address this, the author started using Anthropic's Model Context Protocol (MCP) to integrate Claude, an AI assistant, with GitHub. MCP allows Claude to directly interact with GitHub through a local server, providing access to repositories, branches, commits, issues, and pull requests. The author built a GitHub MCP server with over 44 tools, enabling Claude to understand the codebase and perform actions like merging pull requests. The article goes into technical details about how the MCP server works, with Claude calling the server's structured APIs to fetch data and reason about it.
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