"Inappropriate or harmful content" matching MCP servers:

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Lets a content team edit a GitHub-hosted website's Markdown pages and blog posts through Claude, with each change validated and committed to a staging branch. Editors can preview, publish live, or discard changes, while code checks block edits that would break the site.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Generates a daily standup note from GitLab merge request or GitHub pull request state: what is ready to merge, what is blocked, what is stale, and what is waiting on your review. When CI is red it opens the failed job's log and reports the error lines, so the note says why the pipeline failed rather than just that it did.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

This MCP server analyzes Git reflog and object data to provide recovery signals after accidental resets or deletions, helping assess whether lost commits or branches may still be recoverable without exposing sensitive details.

A stateless HTTP MCP service that exposes GitHub organization member management tools (list, view, add, update role, remove members, and manage invitations) as MCP tools consumable by Claude and other MCP clients.

Connects Claude to GitHub, enabling listing repositories, browsing open pull requests, and inspecting PR diffs for code review.

Generates commit messages, PR titles and descriptions, and release notes from git changes, with automatic domain detection for appropriate PR templates.

Provides read-only inspection of Git worktree topology, reporting aggregate counts and statuses (clean, dirty, detached, locked, prunable). Ensures safety by limiting commands to a configured root and never exposing paths or content.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

MCP server to automate Pull Request creation with AI. Analyzes Git branches, generates descriptions, titles, suggests reviewers, and performs code reviews.

git blame tells you who wrote a line. This tells you why.

MCP server that inspects local codebases and generates source-grounded context packs for coding agents, with tools for repository search, symbols, dependencies, Git analysis, and context generation.

Assists MDN Japanese translation tasks by automating file copying from English content, synchronizing source commits, and performing guideline-based reviews.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

An MCP server that lets Claude (or any MCP client) manage GitHub branch protection rulesets programmatically.

Analyzes GitHub Pull Request diffs for security vulnerabilities and data leaks, using a deterministic filter to skip trivial changes and an AI-powered analysis for logic changes.

Enables AI agents to query a GitHub user's public profile, repositories, language breakdowns, and README content