io.github.gradion-ai/ipybox
编码与调试by gradion-ai
提供沙箱化 Python 代码执行的 MCP 服务器,集成 IPython 与 Docker,并支持文件传输。
想安全跑Python代码又不想折腾环境,ipybox用Docker+IPython提供沙箱执行与文件传输,做调试或代理实验都很省心。
什么是 io.github.gradion-ai/ipybox?
提供沙箱化 Python 代码执行的 MCP 服务器,集成 IPython 与 Docker,并支持文件传输。
README
ipybox
mcp-name: io.github.gradion-ai/ipybox
<p align="left"> <a href="https://gradion-ai.github.io/ipybox/"><img alt="Website" src="https://img.shields.io/website?url=https%3A%2F%2Fgradion-ai.github.io%2Fipybox%2F&up_message=online&down_message=offline&label=docs"></a> <a href="https://pypi.org/project/ipybox/"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/ipybox?color=blue"></a> <a href="https://github.com/gradion-ai/ipybox/releases"><img alt="GitHub Release" src="https://img.shields.io/github/v/release/gradion-ai/ipybox"></a> <a href="https://github.com/gradion-ai/ipybox/actions"><img alt="GitHub Actions Workflow Status" src="https://img.shields.io/github/actions/workflow/status/gradion-ai/ipybox/test.yml"></a> <a href="https://github.com/gradion-ai/ipybox/blob/main/LICENSE"><img alt="GitHub License" src="https://img.shields.io/github/license/gradion-ai/ipybox?color=blueviolet"></a> </p>ipybox is a unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
Overview
ipybox executes code blocks in a stateful IPython kernel. A code block can contain any combination of Python code, shell commands, and programmatic MCP tool calls. Kernels can be sandboxed with sandbox-runtime, enforcing filesystem and network restrictions at OS level.
It generates Python APIs for MCP server tools via mcpygen, and supports application-level approval of individual tool calls and shell commands during code execution. ipybox runs locally on your computer, enabling protected access to your local data and tools.
[!NOTE] Next generation ipybox
This is the next generation of ipybox, a complete rewrite. Older versions are maintained on the 0.6.x branch and can be obtained with
pip install ipybox<0.7.
Documentation:
- 📚 Documentation
- 🏗️ Architecture
- 🤖 llms.txt
- 🤖 llms-full.txt
Capabilities
| Capability | Description |
|---|---|
| Stateful execution | State persists across executions in IPython kernels |
| Unified execution | Combine Python code, shell commands, and programmatic MCP tool calls in a code block |
| Shell command execution | Run shell commands via !cmd syntax, capture output into Python variables |
| Programmatic MCP tool calls | MCP tools called via generated Python API ("code mode"), not JSON directly |
| Python tool API generation | Typed functions and Pydantic models generated from MCP tool schemas via mcpygen |
| Application-level approval | Individual approval of tool calls and shell commands during code execution |
| Lightweight sandboxing | Optional kernel isolation via Anthropic's sandbox-runtime |
| Local execution | No cloud dependencies, everything runs locally on your machine |
Usage
| Component | Description |
|---|---|
| Python SDK | Python API for building applications on ipybox |
| MCP server | ipybox as MCP server for code actions and programmatic tool calling |
| Claude Code plugin | Plugin that bundles the ipybox MCP server and a code action skill |
[!TIP] Freeact agent
Freeact is a general-purpose agent built on ipybox.
常见问题
io.github.gradion-ai/ipybox 是什么?
提供沙箱化 Python 代码执行的 MCP 服务器,集成 IPython 与 Docker,并支持文件传输。
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by anthropics
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✎ 想把页面做得既能上线又有设计感,就用前端设计:组件到整站都能产出,难得的是能避开千篇一律的 AI 味。
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