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git-commit-aider MCP Server

git-commit-aider MCP Server

本地服务
github.com/MrOrz版本控制876 周前更新

关于 git-commit-aider MCP Server

git-commit-aider MCP Server 为 AI 提交 Git 暂存更改,并在提交者姓名后添加“(aider)”,便于在代码库中识别 AI 贡献。它面向使用 AI 编码工具并希望标记相关提交的开发者。

主要功能

  1. 01提交已暂存的更改
  2. 02指定提交说明和工作目录
  3. 03自动添加“(aider)”标记
  4. 04读取环境变量或 Git 用户配置

适用场景

  1. 01标记 AI 生成代码的提交
  2. 02按提交记录统计 AI 代码贡献

MCP 相关

该 MCP 服务向客户端提供 `commit_staged` 工具,用于提交 Git 暂存更改,并自动标记提交者姓名。

配置

本地服务的配置在各客户端中通用,复制后粘贴到客户端的 MCP 配置文件即可。

mcp.json · 通用配置
{
"mcpServers": {
"git-commit-aider": {
"command": "npx",
"args": [
"-y",
"mcp-git-commit-aider"
]
}
}
}
启动命令npx -y mcp-git-commit-aider

本地服务需要在你的电脑上安装运行环境(如 Node.js 18+)。各客户端的配置文件位置不同,请参考客户端文档。

安装包
npmmcp-git-commit-aider

工具

1

收录的工具列表 · 更新于 3 周前

参数类型必填说明
messagestring是提交消息。
cwdstring否可选:git 命令的工作目录(默认为工作区根目录)。

详细介绍

git-commit-aider MCP 服务

代表 AI 创建 Git 提交,以便在代码库中追踪 AI 的贡献。

这是一个基于 TypeScript 的 MCP 服务,提供一个工具,用于提交 Git 仓库中的暂存更改,并在提交者姓名后附加 “(aider)”。

功能

此 MCP 服务仅提供一个工具:

commit_staged - 使用指定的消息提交暂存更改。

  • 接受 message(字符串,必填)作为提交消息。
  • 接受 cwd(字符串,可选)来指定 Git 命令的工作目录。
  • 自动在提交者姓名后附加 “(aider)”。
  • 如果已设置,则从环境变量(GIT_COMMITTER_NAME、GIT_COMMITTER_EMAIL)读取提交者姓名和邮箱;否则回退到 git config user.name 和 git config user.email。

在代码编辑器中安装此工具后,你可以像这样向 AI 提示:

替我提交这些更改

这通常发生在 AI 对代码库做出一些更改之后,因此 AI 往往能够根据上下文提供一条合适的提交消息。

安装

若要使用此服务,请将其配置添加到 MCP 设置文件中。

{
  "mcpServers": {
    "git-commit-aider": {
      "command": "npx",
      "args": ["mcp-git-commit-aider"]
    }
  }
}

提交者信息从以下位置获取:

  1. 环境变量 GIT_COMMITTER_NAME 和 GIT_COMMITTER_EMAIL,遵循 Git 的约定。
  2. git config user.name 和 git config user.email 命令的输出。
替代方案:提交后修改作者

如果不想使用此 MCP 服务,也可以直接在终端中使用 git 命令。

你可以先按常规方式提交,然后使用以下 Git 命令更改最近一次提交的作者:

git commit --amend --author="$(git config user.name) (aider) <$(git config user.email)>"

这会将最近一次提交的作者更改为你的姓名,并在后面附加 “(aider)”。

为简化此流程,你可以设置一个 Git 别名。在终端中运行以下命令:

git config --global alias.aimend '!git commit --amend --author="$(git config user.name) (aider) <$(git config user.email)>"'

设置完成后,运行以下命令即可使用该别名:

git aimend

计算 AI 贡献

带有 “(aider)” 的提交可以由 aider --stats 命令识别,该命令会显示 AI 对代码库的贡献。

或者,你可以使用以下脚本计算 AI 对代码库的贡献,以代码行数(新增、删除和总更改量)衡量。

#!/bin/bash

# Script to calculate line changes (added, deleted, total) by AI and human authors
# between two commits.
# Output is in JSON format.
#
# This logic is extracted and altered from git-quick-stats.sh, MIT license.

# --- Configuration ---
# You may change the config to match your repository's convention.

# String to identify AI-generated commits in author names
AI_MATCHER="(aider)"

# Define patterns for files/paths to be excluded from the calculation.
# These will be converted to git pathspecs like ":(exclude)*package-lock.json"
IGNORE_PATTERNS=(
  "*package-lock.json"
  "*.lock"
)

# --- Helper Functions ---
function print_usage() {
  echo "Usage: $0 <REVISION_RANGE>"
  echo "  <REVISION_RANGE>: The revision range to analyze (e.g., HEAD~5..HEAD, my-branch, commit_sha)."
  echo "  Refer to 'git help log' or 'git help revisions' for more range options."
  echo "Example: $0 HEAD~5..HEAD"
  echo "Example: $0 origin..HEAD"
  echo "Example: $0 my-feature-branch"
  echo "Example: $0 abcdef1..fedcba2"
}

# --- Argument Parsing ---
if [ "$#" -ne 1 ]; then
  echo "Error: Incorrect number of arguments. Please provide a single revision range."
  print_usage
  exit 1
fi

REVISION_RANGE="$1"

# --- Main Logic ---

# Construct pathspec arguments for git log
pathspec_args=()
for pattern in "${IGNORE_PATTERNS[@]}"; do
  pathspec_args+=(":(exclude)$pattern")
done

git_log_output=$(git log "$REVISION_RANGE" --numstat --pretty="format:AuthorName:%an" -- "${pathspec_args[@]}")

# DEBUG: Uncomment to check the calculation for each commit.
# echo "$git_log_output"

# Process the log output with awk
result_json=$(echo "$git_log_output" | awk -v ai_matcher="$AI_MATCHER" '
BEGIN {
  ai_added = 0
  ai_deleted = 0
  human_added = 0
  human_deleted = 0
  current_author = ""
  is_ai_author = 0
}

/^AuthorName:/ {
  # Extract author name
  current_author = substr($0, length("AuthorName:") + 1)
  if (index(current_author, ai_matcher) > 0) {
    is_ai_author = 1
  } else {
    is_ai_author = 0
  }
  next
}

# Skip empty lines between commit blocks or lines that are not numstat
NF == 0 || !($1 ~ /^[0-9]+$/ && $2 ~ /^[0-9]+$/) {
  next
}

# Process numstat line: <added> <deleted> <file>
{
  added_lines = $1
  deleted_lines = $2

  # Skip binary files where numstat shows "-" for lines
  if (added_lines == "-" || deleted_lines == "-") {
    next
  }

  # Aggregate stats per author and file for details array
  file_name = $3
  # Robust key using File Separator character \034
  key = current_author "\034" file_name

  file_author_added[key] += added_lines
  file_author_deleted[key] += deleted_lines

  if (is_ai_author) {
    ai_added += added_lines
    ai_deleted += deleted_lines
  } else {
    human_added += added_lines
    human_deleted += deleted_lines
  }
}

END {
  ai_total_changed = ai_added + ai_deleted
  human_total_changed = human_added + human_deleted
  overall_total_changed = ai_total_changed + human_total_changed
  ai_percentage = 0.00

  if (overall_total_changed > 0) {
    ai_percentage = (ai_total_changed / overall_total_changed) * 100
  }

  printf "{\n"
  printf "  \"ai_percentage\": %.2f,\n", ai_percentage
  printf "  \"ai_changes\": {\"added\": %d, \"deleted\": %d, \"total\": %d},\n", ai_added, ai_deleted, ai_total_changed
  printf "  \"human_changes\": {\"added\": %d, \"deleted\": %d, \"total\": %d},\n", human_added, human_deleted, human_total_changed

  # Details array
  printf "  \"details\": [\n"
  first_detail = 1
  # Iterate over one of the arrays, keys should be consistent
  for (key in file_author_added) {
    if (!first_detail) {
      printf ",\n"
    }
    first_detail = 0

    # Split key "author\034fileName" into key_parts array
    # key_parts[1] will be author, key_parts[2] will be fileName
    split(key, key_parts, "\034")
    author = key_parts[1]
    fileName = key_parts[2]

    # Escape double quotes for JSON compatibility
    gsub(/"/, "\\\"", author)
    gsub(/"/, "\\\"", fileName)

    detail_added = file_author_added[key] + 0 # Ensure numeric
    detail_deleted = file_author_deleted[key] + 0 # Ensure numeric
    detail_total = detail_added + detail_deleted

    printf "    {\n"
    printf "      \"fileName\": \"%s\",\n", fileName
    printf "      \"author\": \"%s\", \"isAI\": %s,\n", author, (index(author, ai_matcher) > 0 ? "true" : "false")
    printf "      \"added\": %d, \"deleted\": %d, \"total\": %d\n", detail_added, detail_deleted, detail_total
    printf "    }"
  }
  printf "\n  ]\n"
  printf "}\n"
}
')

# --- Output ---
echo "$result_json"

用法示例:

# Assume the script is saved as `calculate_ai_contribution.sh` and is executable (chmod +x calculate_ai_contribution.sh)

# Example 1: Analyze the last 5 commits
./calculate_ai_contribution.sh HEAD~5..HEAD

# Example 2: Analyze commits between a specific commit and HEAD
./calculate_ai_contribution.sh 90a5fcd4..HEAD

# Example 3: Analyze all commits on a feature branch not yet in main
./calculate_ai_contribution.sh main..my-feature-branch

# Example 4: Analyze commits between two tags
./calculate_ai_contribution.sh v1.0..v1.1

# Example output (will vary based on your repository and range):
# {
#   "ai_percentage": 48.53,
#   "ai_changes": { "added": 100, "deleted": 32, "total": 132 },
#   "human_changes": { "added": 103, "deleted": 37, "total": 140 },
#   "details": [
#     {
#       "fileName": "src/featureA.js",
#       "author": "Developer One (aider)", "isAI": true,
#       "added": 60, "deleted": 10, "total": 70
#     },
#     {
#       "fileName": "src/featureB.js",
#       "author": "Developer One (aider)", "isAI": true,
#       "added": 40, "deleted": 22, "total": 62
#     },
#     {
#       "fileName": "src/utils.js",
#       "author": "Developer Two", "isAI": false,
#       "added": 80, "deleted": 15, "total": 95
#     },
#     {
#       "fileName": "README.md",
#       "author": "Developer Two", "isAI": false,
#       "added": 23, "deleted": 22, "total": 45
#     }
#   ]
# }
输出字段说明

JSON 输出包含以下字段:

  • ai_percentage:(数字)AI 作者(由 AI_MATCHER 识别)所贡献的代码行占总更改行数(新增行数和删除行数之和)的百分比。
  • ai_changes:(对象)汇总 AI 作者所做的代码行更改,包括 added(新增)、deleted(删除)及其总数 total。
  • human_changes:(对象)汇总人类作者所做的代码行更改,包括 added(新增)、deleted(删除)及其总数 total。
  • details:(对象数组)详细列出更改情况。数组中的每个对象表示特定 author 对某个 fileName 的贡献,包括该作者在该文件中新增的行数 added、删除的行数 deleted 以及更改总数 total。

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第一次接触 MCP?

从协议是什么,到在客户端里装上第一个服务,这几条回答覆盖了大多数入门问题。

一个开放协议,规定了 AI 应用如何以统一方式连接外部工具与数据源。客户端负责与模型对话,MCP 服务负责提供工具、资源和提示模板,两者通过标准消息通信,同一个服务可以被不同客户端复用。