Git Commit Generator▌
by theoklitosbam7
Generate conventional commit messages from staged git changes. Streamline your git amend commit message process with aut
Generates conventional commit messages from staged git changes by analyzing diffs and file status to create properly formatted commits with optional type and scope parameters.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers who want consistent commit message formatting
- / Teams enforcing conventional commit standards
- / Automating commit message creation in CI/CD workflows
capabilities
- / Generate conventional commit messages from staged changes
- / Analyze git diffs and file modifications
- / Check current git repository status
- / Auto-detect commit type and scope
- / Format commits following conventional standards
what it does
Analyzes your staged git changes and automatically generates properly formatted conventional commit messages. Works by examining diffs and file status to suggest appropriate commit types and scopes.
about
Git Commit Generator is a community-built MCP server published by theoklitosbam7 that provides AI assistants with tools and capabilities via the Model Context Protocol. Generate conventional commit messages from staged git changes. Streamline your git amend commit message process with aut It is categorized under productivity, developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Git Commit Generator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Git Commit Generator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP Git Commit Generator
Generate conventional commit messages from your staged git changes using Model Context Protocol (MCP).
✨ Features
- 🤖 Automatic commit message generation based on staged git diffs
- 📝 Conventional Commits support with auto-detection of type and scope
- 🔄 Multiple transport options - stdio (default) and SSE for different use cases
- 🔍 Inspector UI for interactive testing and debugging
- 🐳 Docker support with pre-built images for easy deployment
- ⚡ Cross-platform - works on macOS, Linux, and Windows
📦 Requirements
- For Docker usage: Docker (for running the server in a container)
- For PyPI/uvx usage: Python >= 3.13.5 and uv (recommended) or pip
- Git (for version control)
- An MCP-compatible client (VS Code with MCP extension, Claude Desktop, Cursor, Windsurf, etc.)
🚀 Installation
You can install and use the MCP Git Commit Generator in multiple ways:
Option 1: Using uvx (Recommended)
The easiest way to use the package is with uvx, which automatically manages the virtual environment:
uvx mcp-git-commit-generator
Option 2: Install from PyPI
pip install mcp-git-commit-generator
Or with uv:
uv pip install mcp-git-commit-generator
Option 3: Using Docker
Use the pre-built Docker image from GitHub Container Registry (no installation required):
docker run -i --rm --mount type=bind,src=${HOME},dst=${HOME} ghcr.io/theoklitosbam7/mcp-git-commit-generator:latest
🛠️ Available Tools
This MCP server provides the following tools to help you generate conventional commit messages:
generate_commit_message
Generates a conventional commit message based on your staged git changes.
Parameters:
repo_path(string, optional): Path to the git repository. If omitted, uses the current directory.commit_type(string, optional): Conventional commit type (e.g.,feat,fix,docs,style,refactor,perf,build,ci,test,chore,revert). If omitted, the type will be auto-detected.scope(string, optional): Scope of the change (e.g., file or module name). If omitted, the scope will be auto-detected based on changed files.
Usage:
- Stage your changes:
git add <files> - Use the tool through your MCP client to generate a commit message
- The tool will analyze your staged changes and generate an appropriate conventional commit message
check_git_status
Checks the current git repository status, including staged, unstaged, and untracked files.
Parameters:
repo_path(string, optional): Path to the git repository. If omitted, uses the current directory.
Usage:
Use this tool to get an overview of your current git repository state before generating commit messages.
🧩 MCP Client Configuration
Configure the MCP Git Commit Generator in your favorite MCP client. You have multiple options:
- Using uvx (recommended - automatically manages dependencies)
- Using Docker (no local Python installation required)
- Using local Python installation (for development)
VS Code
Add one of the following configurations to your VS Code mcp.json file (usually located at .vscode/mcp.json in your workspace):
Using uvx (Recommended)
{
"servers": {
"mcp-git-commit-generator": {
"command": "uvx",
"args": ["mcp-git-commit-generator"]
}
}
}
Using Docker
{
"servers": {
"mcp-git-commit-generator": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount",
"type=bind,src=${userHome},dst=${userHome}",
"ghcr.io/theoklitosbam7/mcp-git-commit-generator:latest"
]
}
}
}
If you want to put the configuration in your user settings.json file, you can do so by adding:
{
"mcp": {
"servers": {
"mcp-git-commit-generator": {
"command": "uvx",
"args": ["mcp-git-commit-generator"]
}
}
}
}
Cursor
Add one of the following to your Cursor MCP configuration file (usually located at ~/.cursor/mcp.json):
Cursor with uvx (Recommended)
{
"mcpServers": {
"mcp-git-commit-generator": {
"command": "uvx",
"args": ["mcp-git-commit-generator"]
}
}
}
Cursor with Docker
{
"mcpServers": {
"mcp-git-commit-generator": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount",
"type=bind,src=${userHome},dst=${userHome}",
"ghcr.io/theoklitosbam7/mcp-git-commit-generator:latest"
]
}
}
}
Windsurf
Configure Windsurf with one of the following MCP server settings (usually located at ~/.codeium/windsurf/mcp_config.json):
Windsurf with uvx (Recommended)
{
"mcpServers": {
"mcp-git-commit-generator": {
"command": "uvx",
"args": ["mcp-git-commit-generator"]
}
}
}
Windsurf with Docker
{
"mcpServers": {
"mcp-git-commit-generator": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount",
"type=bind,src=${userHome},dst=${userHome}",
"ghcr.io/theoklitosbam7/mcp-git-commit-generator:latest"
]
}
}
}
Claude Desktop
Add one of the following to your Claude Desktop configuration file (usually located at
~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
Claude Desktop with uvx (Recommended)
{
"mcpServers": {
"mcp-git-commit-generator": {
"command": "uvx",
"args": ["mcp-git-commit-generator"]
}
}
}
Claude Desktop with Docker
{
"mcpServers": {
"mcp-git-commit-generator": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount",
"type=bind,src=${userHome},dst=${userHome}",
"ghcr.io/theoklitosbam7/mcp-git-commit-generator:latest"
]
}
}
}
Note: The
--mountoption in Docker configurations allows the Docker container to access your home directory, enabling it to work with git repositories located anywhere in your file system. When using uvx or pip installations, this mounting is not needed as the tool runs directly on your system. Adjust the mount path if your repositories are located elsewhere when using Docker.
🚀 Quick Start Guide
-
Install the package using one of the methods above:
- Recommended:
uvx mcp-git-commit-generator(or configure in your MCP client) - Alternative:
pip install mcp-git-commit-generator - Docker: Use the configurations above with Docker
- Recommended:
-
Configure your MCP client using one of the configurations above
-
Stage some changes in a git repository:
git add <files> -
Use the tools through your MCP client:
- Use
check_git_statusto see your current repository state - Use
generate_commit_messageto create a conventional commit message
- Use
-
Commit your changes with the generated message
👨💻 Developer Guidelines
The following sections are intended for developers who want to contribute to or modify the MCP Git Commit Generator.
Local Development Setup 🛠️
If you prefer not to use Docker for development, you can run the server locally:
Requirements:
- Python >= 3.13.5
- uv (recommended for dependency management and local development)
- Node.js (for Inspector UI, optional)
- Python Debugger Extension (for debugging, optional)
Note: The MCP CLI dependency is automatically installed via
uv.lockwhen usinguv sync.
Installation:
-
Clone the repository:
git clone https://github.com/theoklitosBam7/mcp-git-commit-generator.git cd mcp-git-commit-generator -
Prepare environment:
There are two approaches to set up the environment for this project. You can choose either one based on your preference.
Note: Reload VSCode or terminal to ensure the virtual environment python is used after creating the virtual environment.
Approach Steps Using uv(Recommended)1. Create virtual environment and install dependencies: uv sync --group dev<br>2. Run VSCode Command "Python: Select Interpreter" and select the python from.venvdirectory <br>3. The project is installed in editable mode automatically byuv sync.Using pip1. Create virtual environment: python -m venv .venv<br>2. Run VSCode Command "Python: Select Interpreter" and select the python from created virtual environment <br>3. Install dependen
FAQ
- What is the Git Commit Generator MCP server?
- Git Commit Generator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Git Commit Generator?
- This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.4★★★★★49 reviews- ★★★★★Anaya Ndlovu· Dec 24, 2024
Useful MCP listing: Git Commit Generator is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ganesh Mohane· Dec 12, 2024
We evaluated Git Commit Generator against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aarav Haddad· Dec 12, 2024
Git Commit Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Anaya Abebe· Dec 12, 2024
Strong directory entry: Git Commit Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Isabella Garcia· Dec 8, 2024
Git Commit Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Lucas Choi· Nov 27, 2024
Useful MCP listing: Git Commit Generator is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Aarav Yang· Nov 23, 2024
Strong directory entry: Git Commit Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Tariq Lopez· Nov 15, 2024
Git Commit Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sakshi Patil· Nov 3, 2024
Git Commit Generator has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Anaya Lopez· Nov 3, 2024
According to our notes, Git Commit Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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