"author:0xmortuex" matching MCP servers:

Enables an agent to mine a repository's git history and answer questions a new teammate would ask: which files are riskiest based on churn, recency and author breadth, who actually knows each file based on surviving lines, which files secretly change together, which directories depend on one person, and what recent commits mean for release notes. All analysis runs through a read-only server sandboxed to a single directory.

Enables AI agents to inspect git working trees and history for exposed credentials without letting raw secrets reach the model, with false-positive filtering, baseline support, and remediation guidance.

Enables AI assistants to mine a git repository's history and answer pre-change questions: which files are riskiest, who genuinely knows a file or directory (blame-weighted, with bus factor and inactive authors), which files secretly change together, churn timelines, commit search, and release notes. It runs read-only against real git with noise filtering and reproducible, documented formulas.