git-training-wheels

git-training-wheels

An MCP server that enforces safe git commits by allowing only specified files and providing fixup capabilities for earlier commits.

Category
访问服务器

README

MCP Git Training Wheels

LLMs try to please, but as the context window gets larger and larger, errors start to happen. In particular, current models have a tendency to just git add -a the whole source tree, accidentally adding lots of random stuff to their commits.

These issues become especially noticable when multiple agents are working on a codebase in parallel, or if you're doing quick fixes while an agent is working. And no current model has the ability to un-fuck a git history.

This MCP server gives the agent some training wheels for using git safely,. It ensures that only a specific named set of files can be committed, and also provides a convenient way to fixup earlier commits. For best results, use permissions to automatically deny the use of Bash(git commit:*) or equivalent.

It's still using the regular git commit command under the hood, so global and global git settings like username, email, and commit signing all apply as usual.

Installation

Using uv

uvx mcp-git-training-wheels

From source

git clone https://github.com/lava/mcp-git-training-wheels
cd mcp-git-training-wheels
uv pip install -e .

Usage

Add the following

Depending on your agent of choice, run something like the following

claude mcp add git-commit -- uvx mcp-git-training-wheels

or drop the following JSON into .mcp.json or any other location of your choice.

{
  "mcpServers": {
    "gtw": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-git-training-wheels"
      ],
      "env": {}
    }
  }
}

The specific command may change depending on your installation method.

Available Tools

git_commit

Commits specified files with a message and saves the commit information for later use.

Parameters:

  • files: List of file paths to commit
  • message: Commit message

Example:

{
  "tool": "git_commit",
  "parameters": {
    "files": ["src/main.py", "tests/test_main.py"],
    "message": "Add main functionality and tests"
  }
}

fixup_commit

Adds files to a previously created commit. If the commit is still HEAD, it uses git commit --amend. Otherwise, it uses the gitrevise module to edit the commit in history.

Parameters:

  • files: List of file paths to add to the commit

Example:

{
  "tool": "fixup_commit",
  "parameters": {
    "files": ["src/utils.py"]
  }
}

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选