AI Coreutils — JSON-first CLI for Agents

by caseSHY

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About

AICoreUtils 是一个面向 LLM Agent 的 JSON 优先命令行工具包原型。

Details

Author
caseSHY
GitHub stars
1
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- JSON output by default; JSON errors on stderr.
- Stable semantic exit codes.
- --dry-run for all mutation commands.
- Explicit --raw for pipeline composition.
- 114 CLI commands including agent-native meta-commands.
- MCP server for seamless LLM integration.
- Security profiles: readonly or workspace-write.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name AI Coreutils — JSON-first CLI for Agents
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install the Python package with pip install aicoreutils. Run commands like aicoreutils schema --pretty, aicoreutils ls . --limit 20, or aicoreutils rm build --recursive --dry-run. For MCP integration, configure a Claude Desktop or AI IDE (Cursor, Windsurf, Continue.dev) to call python -m aicoreutils.mcp_server. Output OpenAI Function Calling format with aicoreutils tool-list --format openai.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "ai coreutils \u2014 json-first cli for agents": {
            "aicoreutils": {
                "command": "python",
                "args": [
                    "-m",
                    "aicoreutils.mcp_server"
                ]
            }
        }
    }
}

McpServers

{
    "aicoreutils": {
        "command": "python",
        "args": [
            "-m",
            "aicoreutils.mcp_server"
        ]
    }
}

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

- 文档索引
- 当前项目状态 ← 权威状态来源
- Agent 协议与示例
- 安全模型
- 中英文使用说明
- GNU Coreutils 兼容性审计
- 测试说明
- WSL 本地 CI
- 文档治理规则
- 事实传播矩阵

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

- Documentation index
- Current project status ← authoritative status source
- Agent protocol and examples
- Security model
- Chinese/English user guide
- GNU Coreutils compatibility audit
- Testing guide
- WSL local CI
- Documentation governance rules
- Fact propagation matrix

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==1.2.3). v1.2.3 LTS — critical bug and security fixes backported for at least 12 months. CLI internal argument parsing may evolve across minor versions. See Stability & SemVer.

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