广告合作
MCP.so
登录

AI Coreutils — JSON-first CLI for Agents MCP Server

@caseSHY

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

caseSHY

提交者

hum simu

关于 AI Coreutils — JSON-first CLI for Agents MCP Server

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

#coreutils#cli#json#filesystem#sandbox#agent#python

AI Coreutils — JSON-first CLI for Agents MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

AI Coreutils — JSON-first CLI for Agents MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AI Coreutils — JSON-first CLI for Agents?

AI Coreutils is a JSON-first command-line toolkit prototype designed for LLM agents. It is inspired by common GNU Coreutils commands but is not a complete GNU-compatible replacement. It provides a deterministic, low-noise, and easily parsable CLI interface for machine callers, with JSON output by default, JSON errors on stderr, and stable semantic exit codes.

How to use AI Coreutils — JSON-first CLI for Agents?

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.

Key features of AI Coreutils — JSON-first CLI for Agents

  • 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.

Use cases of AI Coreutils — JSON-first CLI for Agents

  • Let an LLM agent list files, count lines, or delete directories safely.
  • Perform deterministic file operations from within Claude Desktop or Cursor.
  • Audit filesystem changes with --dry-run and risk metadata.
  • Compose agent pipelines using JSON output and --raw.

常见问题

1

What is AI Coreutils and how does it differ from GNU Coreutils?

AI Coreutils is a JSON-first CLI for LLM agents inspired by GNU Coreutils. It is not a full GNU clone—it is an agent-friendly subset that prioritizes machine-parseable output, stability, and safety features like `--dry-run`.

2

What are the runtime requirements?

Python installed (any platform). The package is available via PyPI (`pip install aicoreutils`). Tests run with pytest and Hypothesis.

3

Where does data live, and what security is provided?

Commands operate on the local filesystem. Production security profiles are available: `--profile readonly` for read-only tools, `--profile workspace-write` for low-risk writes inside the current working directory.

4

How is stability guaranteed?

SemVer from v1.0.0. Patch releases fix bugs without changing JSON output. Minor releases add commands/parameters while keeping existing JSON output backward compatible. Major releases may break JSON schema or tool names. LTS version 1.2.3 has critical fixes backported for at least 12 months.

5

What transports and authentication are supported?

MCP (Model Context Protocol) via the `aicoreutils.mcp_server` module. Authentication is not described; the server runs with the user's system permissions. OpenAI Function Calling format is also available as an alternative interface.

评论

开发工具 分类下的更多 MCP 服务器

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

1

LocalCan

LocalCan

Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

82

SSH MCP Server

hypnosis

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

1

Capgo MCP

Cap-go

Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app

Nebelus

Nebelus

Nebelus is an enterprise agentic-AI platform for regulated industries. This MCP server exposes the Nebelus Construction API: ~48 tools that give an MCP client full agent build parity — create/update/probe agents, edit ag

广告合作