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by gtnao • Analytics & Monitoring
An MCP server that deeply analyzes the history of a file in a GitHub repository to surface PRs, reviews, comments, file changes, and related issues.
Find every pull request that modified a specific file (with commit-based pagination and time filters).
Compile comprehensive contextual data about PRs — including comments, review comments, reviews, file changes, and linked issues — to inform code explanation or root-cause analysis.
Iteratively fetch large sets of PR details using pseudo-pagination to avoid rate/response-size limits while aggregating historical change data for a file.
This MCP server provides tools to go beyond git blame by collecting comprehensive pull request data for a given file, including PR metadata, comments, review comments, reviews, file diffs, and linked issues. It uses the GitHub REST API and requires a GitHub Personal Access Token to operate. The workflow is two-step: list PRs that touched a file (with pagination) and then fetch detailed data for those PRs (with pseudo-pagination). This helps agents assemble rich contextual history around code changes for deeper analysis and troubleshooting.
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