Skip to main content

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 | Production/Stable

🤖 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。

⚠️ Stability note: JSON envelope (ok, result, error, command, version), MCP tool schema, and semantic exit codes are stable. Production use: pin the version (pip install aicoreutils==1.2.2). v1.2.2 LTS — critical bug and security fixes backported for at least 12 months. CLI internal argument parsing may evolve across minor versions. See Stability & SemVer.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aicoreutils-1.2.2.tar.gz (236.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aicoreutils-1.2.2-py3-none-any.whl (132.7 kB view details)

Uploaded Python 3

File details

Details for the file aicoreutils-1.2.2.tar.gz.

File metadata

  • Download URL: aicoreutils-1.2.2.tar.gz
  • Upload date:
  • Size: 236.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for aicoreutils-1.2.2.tar.gz
Algorithm Hash digest
SHA256 5f24955e9748beec4a3d2ea20143fc7bbe6fdde6f18ae3a8c1321245c758ca73
MD5 4c9476615c755d931a0c0615f7d3bcb1
BLAKE2b-256 a23594b5f3d706ec6078ff5000ec4b92c067d3b3c36fb5ed802874b2926d312f

See more details on using hashes here.

Provenance

The following attestation bundles were made for aicoreutils-1.2.2.tar.gz:

Publisher: publish.yml on caseSHY/AI-CLI

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file aicoreutils-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: aicoreutils-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 132.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for aicoreutils-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b92bd809bceb134bba53efab742e6a3a60618b6531442574798a6e1231aa5aed
MD5 1232b0ff7a5d1d418ce1fa32f84e6036
BLAKE2b-256 da34a840aab2786e914a0528cffa15649572c211ddc56e9a8accc51af5602cf2

See more details on using hashes here.

Provenance

The following attestation bundles were made for aicoreutils-1.2.2-py3-none-any.whl:

Publisher: publish.yml on caseSHY/AI-CLI

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page