"A tool for managing Git with pull requests" matching MCP servers:

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.

Automates creating Pull Requests (GitHub) and Merge Requests (GitLab) using git CLI, repository templates, and LLM-assisted content generation from your diff and commit logs.

An MCP server that enables AI agents to inspect and interact with a local Git repository, including managing Git status, logs, branches, commits, and workspace files.

Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Enables local, timestamped search over GitHub Awesome channel featured repositories with SQLite/FTS5 catalog, offering tools to search repos, get repo details, check catalog status, and update from video data.

Enables local git operations including commit, branch, push, pull, status, and sync with conventional commit enforcement and branch naming conventions.

Enables generating conventional-commit–grouped release notes and CHANGELOG.md drafts from a local repository's git log between tags or commits, plus grouping commits by type. Reads only local git history via an MCP client such as Cursor or Claude Desktop.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

A Model Context Protocol (MCP) server for executing git push operations with flexible branch mapping.

A modular MCP server that provides a unified interface for interacting with GitHub and GitLab, including enterprise and self-hosted instances. It enables comprehensive management of repositories, issues, pull requests, and CI/CD pipelines through natural language.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables Git repository interaction and automation via LLMs, providing tools to read, search, and manipulate Git repositories.

An enhanced Git MCP server that provides AI assistants with powerful code review, commit analysis, and branch management capabilities for Git repositories.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables multiple agents to file, label, comment on, and close issues in a shared git-bug store while the git-bug web UI remains open, with rule enforcement and safe concurrent writes.