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timeverse-command-mcp

elimyliu/timeverse-command-mcp
0 starsMITUpdated 2026-06-23Community

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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

An MCP server that enables AI clients to execute shell, Python, and Node commands on the local machine across platforms.

README.md

timeverse-command-mcp

跨平台执行 shell / Python / Node 命令的 MCP (Model Context Protocol) Server

![PyPI](https://pypi.org/project/timeverse-command-mcp/) ![Python](https://pypi.org/project/timeverse-command-mcp/) ![License](LICENSE)

---

它能做什么?

让任意支持 MCP 的 AI 客户端(Timeverse Studio、Claude Desktop、Cursor、Continue 等)通过三个工具直接操作你的本地机器

| 工具 | 作用 | 适用平台 | |------|------|---------| | bash | 执行 shell 命令 | macOS / Linux / Windows | | python | 执行 Python 代码片段 | 全平台 | | node | 执行 JavaScript 代码片段 | 全平台 |

典型用法(让 Claude 帮你做):

"用 bash 看一下 /tmp 目录下最大的 5 个文件"
"用 python 算一下 1+2+...+100"
"用 node 把这个 JSON 解析后告诉我 user.name"

---

安装

方式 1:pip(推荐)

pip install timeverse-command-mcp

安装完成后会得到一个 timeverse-command-mcp 命令。

方式 2:源码安装(开发用)

git clone https://github.com/elimyliu/timeverse-command-mcp.git
cd timeverse-command-mcp
pip install -e ".[dev]"

---

接入 Claude Desktop

编辑 Claude Desktop 配置文件(位置见下表):

| 操作系统 | 配置路径 | |---------|---------| | macOS | ~/Library/Application Support/Claude/claude_desktop_config.json | | Windows | %APPDATA%\Claude\claude_desktop_config.json | | Linux | ~/.config/Claude/claude_desktop_config.json |

加入以下内容:

{
  "mcpServers": {
    "timeverse-command": {
      "command": "timeverse-command-mcp",
      "args": [],
      "env": {}
    }
  }
}

重启 Claude Desktop,工具列表中会出现 bash / python / node 三个工具。

详细配置说明、Cursor / Continue / Cline 等其他客户端的接入方式,请参考 docs/USAGE.md

Python API

除了作为 MCP Server,本包也可以作为 Python 库使用:

import asyncio
from timeverse_command import AsyncCommandSession

async def main():
    session = AsyncCommandSession(
        tool_call_id="demo-1",
        command="echo hello && echo world",
        tool_name="bash",
    )

    async for chunk in session.run():
        if chunk["stream"] == "stdout":
            print(f"[out] {chunk['delta']}")
        elif chunk["stream"] == "exit":
            print(f"[exit] code={chunk['exit_code']} status={chunk['status']}")

asyncio.run(main())

输出:

[out] hello
[out] world
[exit] code=0 status=success

更多 API(取消、全局执行器等)见 docs/USAGE.md

---

开发

# 克隆
git clone https://github.com/elimyliu/timeverse-command-mcp.git
cd timeverse-command-mcp

# 安装依赖(含 dev 工具)
pip install -e ".[dev]"

# 运行测试
pytest

# 代码风格
ruff check src/
ruff format src/

# 类型检查
mypy src/

---

协议

  • MCP 传输: stdio(标准)
  • 不依赖任何私有扩展,可在所有支持 MCP stdio 的客户端中使用
  • 增强能力(流式 / 取消 / 危险确认)由 TimeVerse Studio 客户端专属提供,其他客户端以"基础能力"运行

---

许可证

MIT © TimeVerse Studio

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