"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP servers:

Enables natural-language management of Codex's own archive with configurable idle, completion, and GitHub workflow rules, safety previews, reversible operations, and local scheduling.

An MCP server that automates code reviews through linting, testing, and git diff analysis. It also generates conventional commit messages and detailed pull request descriptions based on file changes and code patterns.

Analyzes git repository changes to generate conventional commit messages and summaries using OpenAI's GPT-4o-mini. It provides detailed tracking of modified, added, and deleted files to streamline the version control process.

Local MCP server for AI agents that enables Jira issue management, Confluence Wiki page creation and editing, Git commit analysis, and diagram generation.

Analyzes git changes in repositories and generates conventional commit messages using OpenAI's GPT models, supporting both staged and unstaged changes with detailed summaries.

Connects Claude to GitHub Pull Requests to fetch and filter code diffs for AI-assisted reviews. It enables listing open PRs and analyzing changes while automatically excluding binary and asset files to focus on relevant code.

Enables AI coding agents to compute a 0-1 diff risk score for the current branch or any pull request, exposing the driving signals, evidence, tier and resulting auto-approve or human-review policy decision. Agents can use it to decide whether a low-blast-radius, AI-reviewed PR is safe to merge automatically while flagging risky changes for a human.

Enables code-review gating by converting a git diff into a typed verdict with safety probabilities, severity, and recommended actions for auto-merge or human review.

Decentralized Git with on-chain governance, bounties, and DAOs. Tools for repos, issues, PRs, labels, releases, bounties, and DAO proposals. Auto-wallet on first use, trust tiers, and approval mode for human-in-the-loop.

Analyzes GitHub contributions and maps them to the Karpathy Skills framework, providing metrics, alignment scores, and executive summaries.

Automates GitHub workflows (branch creation, testing, commit/push, PR) through natural language instructions in Claude Code.

Enables Claude Code to manage Overleaf projects by auto-discovering them and reading/editing files across all projects, with a review-before-push local-workspace workflow.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Analyzes Git commit history and code diffs to auto-remember development context, providing commit timelines, work sessions, unfinished task detection, and daily/weekly reports.

MCP server that turns ChatGPT Web or any MCP client into a coding agent on your own repositories, enabling file editing, command execution, testing, and git workflow without an OpenAI API key.

MCP server for managing git worktrees per product, enabling agents to create, list, sync, and open tasks with multiple projects, reusable YAML config, and auto-generated Cursor/VS Code workspaces.

Give your AI coding agent superpowers over git history — auto-generate changelogs, analyze commits, attribute blame, and draft release notes via MCP. Zero runtime dependencies.

Enables VS Code agents to work within a workspace by reading and editing files, searching, running commands and tests, managing Git, fetching web content, converting data, testing APIs, and inspecting system diagnostics.

Enables a local Codex chat to ask a second opinion, review staged, unstaged, or revision-based diffs, and delegate coding tasks to the Antigravity CLI running in isolated or disposable workspaces. Supports starting, polling, retrieving, and cancelling tasks with returned answers, diffs, changed-file lists, exit codes, and time/output limits, while never auto-applying returned patches.

Enables issue-to-code automation for GitHub and GitLab by connecting AI assistants (Claude Code, Gemini CLI, Codex) via MCP, with slash commands for issue analysis, planning, implementation, testing, documentation, and PR creation.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables AI assistants to interact with Alibaba Cloud Yunxiao DevOps platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive organization, development, and delivery tools.

A Model Context Protocol server providing 43 tools for Broadcom Endevor SCM interaction, enabling inventory browsing, element lifecycle management, and package workflows. It is designed for AI-driven mainframe operations and surgical, source-informed penetration testing of CICS applications.

Enables Codex to dispatch well-scoped development tasks to a remote CodeBuddy Code instance, specify model and reasoning effort, monitor progress, retrieve results, and review Git changes without auto-merging.

Provides ~200 auto-generated tools and resources for LLM agents to interact with Gitea and Forgejo instances via the Model Context Protocol.

One install. 8 IDEs. Your agent works from a structural map of your repo instead of re-reading whole files — so sessions run longer before the context wall — and bi-temporal mistakes are auto-captured from your git revert history, so it stops repeating fixes that already failed. Context packets run ~50–90% smaller per file (structural size, not a bill saving — run engram bench on yours).

Enables AI tools to drive role-aware Git collaboration through nine MCP tools, including starting tasks, staging/committing/pushing changes, submitting pull requests with GitHub-native auto-merge, checking status, syncing, and listing team rosters.

Resolves project dependencies and provides local source code paths for AI agent inspection by auto-detecting the build system, resolving dependencies, cloning source repos, and checking out correct versions as git worktrees.

Enables ChatGPT and other MCP clients to browse, search, edit and upload files, run commands and interactive terminals, inspect Git history and worktrees, dispatch coding agents, and install composable plugins within locally registered workspaces. Requests execute under the user's own machine with per-request approval or auto-approval, keeping files, tasks and results local unless explicitly returned.

Enables Claude and any MCP client to store long-term memory as plain Markdown in the user's own private GitHub repo, with hybrid semantic search, a knowledge graph, auto-memory, and commit history. It also keeps working state alive across context compaction through core memory, hook-driven checkpoints, and a resume tool available in any client.