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gradion-ai/ipybox

gradion-ai/ipybox

Python code execution sandbox with MCP tool calling
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Source
collected from the abordage/awesome-mcp list · type: MCP server
Harvest history
first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
Score
score 303 · 3 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

ipybox

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

mcp-name: io.github.gradion-ai/ipybox
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 [!TIP]
> **Freeact agent**
>
> Freeact is a general-purpose agent built on ipybox.
Source
awesome · https://github.com/gradion-ai/ipybox
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