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Agent-friendly CLI layer inspired by GNU Coreutils.

Project description

AICoreUtils

AI-CLI MCP server Glama Score PyPI

CI LTS

Glama 92% | TDQS A 级 (均值 4.6) | 114 工具全部 A 级 | CI 全平台通过

⚠️ Stability: This project is actively evolving. While the JSON output schema and MCP tool interface are stable, internal CLI argument parsing and per-command flags may change. 阅读 稳定性说明 了解详情。

🤖 MCP 目录已收录:Glama · ModelScope · awesome-mcp-servers

中文说明

AICoreUtils 是一个面向 LLM Agent 的 JSON 优先命令行工具包原型。它参考 GNU Coreutils 的常用命令,但不是完整的 GNU 兼容替代品。

项目目标是给机器调用方提供确定、低噪音、易解析的 CLI 接口:

  • 默认输出 JSON
  • 错误以 JSON 写入 stderr
  • 退出码语义稳定
  • 修改文件的命令支持 --dry-run
  • 需要管道组合时显式使用 --raw

快速开始

pip install aicoreutils
aicoreutils schema --pretty
aicoreutils ls . --limit 20
aicoreutils rm build --recursive --dry-run

🤖 Claude Desktop / MCP 集成

一行配置,让 Claude 直接操作你的文件系统:

编辑 Claude Desktop 配置文件(详细说明 →):

系统 配置文件
macOS ~/Library/Application Support/Claude/claude_desktop_config.json
Windows %APPDATA%\Claude\claude_desktop_config.json
Linux ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "aicoreutils": {
      "command": "python",
      "args": ["-m", "aicoreutils.mcp_server"]
    }
  }
}

重启 Claude Desktop,然后对它说:

"列出项目里所有 Python 文件,统计代码行数"

Claude 自动调用 aicoreutils ls + aicoreutils wc,全程 JSON 交互。

更多集成方式:aicoreutils tool-list --format openai 输出 OpenAI Function Calling 格式,可直接用于任意 Agent 框架。 如需给调度器或审计系统保留风险标签,可追加 --include-risk

⚠️ 安全提示:生产环境建议以最低权限运行。

aicoreutils-mcp --profile readonly         # 推荐:只读工具
aicoreutils-mcp --profile workspace-write  # 仅允许低风险 cwd 内写入

详见 生产安全部署指南 →

🤖 AI IDE 集成

在 Cursor / Windsurf / Continue.dev 中直接使用 aicoreutils:AI IDE 集成指南 →

// ~/.cursor/mcp.json
{ "mcpServers": { "aicoreutils": { "command": "python", "args": ["-m", "aicoreutils.mcp_server"] } } }

🔗 更多:Claude Desktop 集成 | AI IDE 集成 | Agent 任务示例 | LangChain 包装器

运行测试

# 推荐主入口(pytest,含 Hypothesis property-based 测试和 GNU 对照测试)
uv run pytest tests/ -v --tb=short

# Legacy 入口(unittest,部分运行器)
uv run python -m unittest discover -s tests -v

项目结构

.
|-- src/aicoreutils/        # Python 包源码
|-- docs/                   # 文档入口
|   |-- reference/          # 协议、命令面和安全生产契约
|   |-- guides/             # 使用指南
|   |-- architecture/       # 架构决策记录 (ADR) 和 AI 代理规则
|   |-- development/        # 测试和开发说明
|   |-- status/             # 当前项目状态(唯一权威来源)
|   |-- audits/             # 兼容性和质量审计
|   |-- analysis/           # 项目分析日志(历史归档)
|   `-- reports/            # 测试报告等生成/归档文档
|-- tests/                  # 测试套件
|-- examples/               # 示例
|-- scripts/                # CI/审计/发布脚本
|-- .github/                # CI workflows 和 issue 模板
`-- vendor/                 # 本地上游源码缓存

文档

发布状态

当前实现:aicoreutils schema 中登记 114 个 CLI 命令(含 tool-list 等 Agent 元命令)。

重要限制:本项目是受 GNU Coreutils 启发的 Agent 友好子集,不是完整的 GNU Coreutils 克隆。


English

AICoreUtils is a JSON-first command-line toolkit prototype for LLM agents. It is inspired by common GNU Coreutils commands, but it is not a complete GNU-compatible replacement.

The goal is a deterministic, low-noise interface for machine callers:

  • JSON output by default
  • JSON errors on stderr
  • Stable semantic exit codes
  • --dry-run for mutation commands
  • Explicit --raw output for pipeline composition

Quick Start

pip install aicoreutils
aicoreutils schema --pretty
aicoreutils ls . --limit 20
aicoreutils rm build --recursive --dry-run

🤖 Claude Desktop / MCP Integration

One config line to let Claude operate your filesystem:

Edit Claude Desktop config (full guide →):

OS Config File
macOS ~/Library/Application Support/Claude/claude_desktop_config.json
Windows %APPDATA%\Claude\claude_desktop_config.json
Linux ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "aicoreutils": {
      "command": "python",
      "args": ["-m", "aicoreutils.mcp_server"]
    }
  }
}

Restart Claude Desktop, then ask:

"List all Python files in the project and count lines of code"

Claude calls aicoreutils ls + aicoreutils wc automatically.

For other frameworks: aicoreutils tool-list --format openai outputs OpenAI Function Calling format directly. Add --include-risk when an orchestrator or audit system needs machine-readable risk metadata.

⚠️ Security: Run with least privilege in production.

aicoreutils-mcp --profile readonly         # Recommended: read-only tools
aicoreutils-mcp --profile workspace-write  # Low-risk cwd-local writes only

See Production Security Guide →

Run tests

# Recommended primary entry (pytest, includes Hypothesis property-based and GNU differential tests)
uv run pytest tests/ -v --tb=short

# Legacy entry (unittest, partial runner)
uv run python -m unittest discover -s tests -v

Project Layout

.
|-- src/aicoreutils/        # Python package
|-- docs/                   # documentation index
|   |-- reference/          # protocol, command-surface and security contracts
|   |-- guides/             # usage guides
|   |-- architecture/       # ADRs and AI agent governance rules
|   |-- development/        # testing and development notes
|   |-- status/             # current project status (single authoritative source)
|   |-- audits/             # compatibility and quality audits
|   |-- analysis/           # project analysis logs (historical archive)
|   `-- reports/            # test reports and archived generated docs
|-- tests/                  # test suite
|-- examples/               # examples
|-- scripts/                # CI/audit/release scripts
|-- .github/                # CI workflows and issue templates
`-- vendor/                 # local upstream source cache

Documentation

Release Status

Current implementation: 114 CLI commands in aicoreutils schema (including agent-native meta-commands like tool-list).

Important limitation: this project is an agent-friendly subset inspired by GNU Coreutils, not a full GNU Coreutils clone.

稳定性和 SemVer

aicoreutils 从 v1.0.0 起采用语义化版本控制,承诺如下:

  • Patch (1.0.x):修复 bug、改进错误消息、补充文档。JSON 输出结构不变。
  • Minor (1.x.0):新增命令、新增参数。已有命令的 JSON 输出结构保持向后兼容。
  • Major (x.0.0):破坏性变更 — JSON schema 变化、命令重命名、MCP tool schema 变化。

⚠️ 当前状态:项目仍在活跃开发中。CLI 内部参数解析和 per-command flag 可能因 argparse 重构频繁变化,但 JSON envelope(ok, result, error, command, version)和 MCP tool schema 是稳定的。生产使用请固定版本号 (pip install aicoreutils==1.2.0)。v1.2.0 为 LTS 版本,关键 bug 和安全修复将回溯至少 12 个月。

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