"Guidance on Writing Git Commit Messages for Pushing to GitHub" matching MCP servers:

Automatically generates conventional commit messages from staged git changes and checks repository status. Analyzes git diffs to create properly formatted commit messages following conventional commit standards.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

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

Makes git commits on behalf of AI by appending "(aider)" to the committer's name, allowing tracking of AI contributions in your codebase.

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.

Enables MCP clients to connect to Google Messages for Web for session-status checks and, eventually, message preparation and confirmation workflows without exposing secrets.

MCP server for reading and responding to local macOS Messages from clients like Claude Desktop and Codex.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

An MCP server that validates and formats git commit messages according to the Udacity Git Commit Message Style Guide.

Enables AI assistants to create conventional Git commits, update changelogs, and optionally push changes to remote repositories.

An intelligent MCP server that automatically generates Conventional Commits style commit messages by analyzing git diffs using LLM providers like DeepSeek and Groq. It enables developers to maintain standardized version history through natural language interactions in supported MCP clients.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

An MCP server that enforces disciplined Git workflows by planning coding tasks into small, test-gated commits, ensuring tests pass before staging and preventing out-of-scope or oversized changes.

Enables Claude on macOS to read, search, and send iMessage, SMS, and RCS messages, with tools for stats, chat history, attachments, and message composition.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Enables an agent to read the user's local Messages.app database on macOS, listing chats and threads and searching iMessage/SMS history entirely on localhost, with optional AppleScript sending gated behind an explicit flag. Access is read-only and scoped-shut by default, and replies can be optionally sent when send mode is enabled.

Content writing toolkit for headline generation, readability scoring, tone analysis, outline building, and plagiarism similarity checking.

Analyzes Git repository changes and generates conventional, context-aware commit messages using the Model Context Protocol.

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.

Enables AI assistants to read Apple Messages chat history and send iMessages or SMS on macOS, accessible locally via stdio or remotely over authenticated HTTP.