"author:088729" matching MCP servers:

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.

Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.

Enables scanning a repository for TODO/FIXME/HACK markers and suppressions comment-awarely, then reporting each marker's real age, author, and commit from git blame. Adds stale-versus-hot classification, debt-times-churn hotspot ranking, and marker history so agents can prioritize cleanup work, all read-only within a path sandbox.

Enables AI clients to interrogate a local Git repository's history, surfacing change hotspots, per-author activity, files that change together, single-file commit history, and draft changelogs between refs. It is strictly read-only, requires no API keys, and returns structured data for the client to interpret.

Enables querying the latest commit information for any file in the Chromium repository, including commit hash, author, timestamp, message, and modified files through the Gitiles API.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.

Enables scanning repositories for TODO and FIXME markers while avoiding false positives in strings and URLs, then reports each marker’s age, author, and staleness using git blame and history. It also counts suppression signals, long functions, and commented-out code inside real comments.

MCP server that turns git commit history into concise standup summaries, exposing tools to summarize and list commits with filters like repo, author, and time range.

A local MCP server that lets agents search shared skills hosted in public or private git repos, showing ranked matches with author and dates, and load a chosen one only for the current session. It indexes those repos locally, so local skills stay untouched and shared skills are fetched on demand.

Enables drafting factual, locally computed standups from supplied git commits and pull request activity, optionally filtered to one author and labeled with a custom date. Returns rendered Markdown along with commit, merged, in-progress, and closed counts.

Enables clients to analyze per-file authorship and review data, identifying single-author and never-reviewed files and returning a deterministic risk map with at-risk paths and summary counts.

Enables AI coding agents to search a registry of third-party OBS Studio plugins and register GitHub repositories, with plugin details and links to author-published release files.

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 coding agents to retrieve cited, verbatim reasons from a repository's git history — searching decisions, explaining the rationale behind specific lines and files, mapping high-risk churn areas, and reading a distilled history log, each answer backed by commit, author, and date. Works fully offline with no LLM, so agents get load-bearing context instead of plausible guesses.

This MCP server provides a tool to analyze git repository hotspots, returning a sorted list of files with risk scores based on change frequency and author count.