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…/gradion-ai/ipybox
home/mcp-servers/gradion-ai/ipybox
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ipybox

bygradion-ai· 1 MCP server

Stars

73

Forks

19

Category

Debugging

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TL;DR

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls

How to install ipybox?

gradion-ai/ipybox
$git clone https://github.com/gradion-ai/ipybox

Installs into the current project.

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Install & use

Install ipybox by running `git clone https://github.com/gradion-ai/ipybox`, then use it for the current task and follow its documentation at https://github.com/gradion-ai/ipybox.

Files · 1

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README.md
1<p align="left">
2 <img src="docs/images/ipybox-crop-nobg.png" alt="ipybox" width="300">
3</p>
4 
5# ipybox
6 
7mcp-name: io.github.gradion-ai/ipybox
8 
9<p align="left">
10 <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>
11 <a href="https://pypi.org/project/ipybox/"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/ipybox?color=blue"></a>
12 <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>
13 <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>
14 <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>
15</p>
16 
17[ipybox](https://gradion-ai.github.io/ipybox/) is a unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
18 
19## Overview
20 
21ipybox 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](https://github.com/anthropic-experimental/sandbox-runtime), enforcing filesystem and network restrictions at OS level.
22 
23It generates Python APIs for MCP server tools via [mcpygen](https://gradion-ai.github.io/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.
24 
25> [!NOTE]
26> **Next generation ipybox**
27>
28> This is the next generation of ipybox, a complete rewrite. Older versions are maintained on the [0.6.x branch](https://github.com/gradion-ai/ipybox/tree/0.6.x) and can be obtained with `pip install ipybox<0.7`.
29 
30## Documentation:
31 
32- 📚 [Documentation](https://gradion-ai.github.io/ipybox/)
33- 🏗️ [Architecture](https://gradion-ai.github.io/ipybox/architecture/)
34- 🤖 [llms.txt](https://gradion-ai.github.io/ipybox/llms.txt)
35- 🤖 [llms-full.txt](https://gradion-ai.github.io/ipybox/llms-full.txt)
36 
37## Capabilities
38 
39| Capability | Description |
40| --- | --- |
41| **Stateful execution** | State persists across executions in IPython kernels |
42| **Unified execution** | Combine Python code, shell commands, and programmatic MCP tool calls in a code block |
43| **Shell command execution** | Run shell commands via `!cmd` syntax, capture output into Python variables |
44| **Programmatic MCP tool calls** | MCP tools called via generated Python API ("code mode"), not JSON directly |
45| **Python tool API generation** | Typed functions and Pydantic models generated from MCP tool schemas via [mcpygen](https://gradion-ai.github.io/mcpygen/) |
46| **Application-level approval** | Individual approval of tool calls and shell commands during code execution |
47| **Lightweight sandboxing** | Optional kernel isolation via Anthropic's [sandbox-runtime](https://github.com/anthropic-experimental/sandbox-runtime) |
48| **Local execution** | No cloud dependencies, everything runs locally on your machine |
49 
50## Usage
51 
52| Component | Description |
53| --- | --- |
54| **[Python SDK](https://gradion-ai.github.io/ipybox/api/code_executor/)** | Python API for building applications on ipybox |
55| **[MCP server](https://gradion-ai.github.io/ipybox/mcpserver/)** | ipybox as MCP server for code actions and programmatic tool calling |
56| **[Claude Code plugin](https://gradion-ai.github.io/ipybox/ccplugin/)** | Plugin that bundles the ipybox MCP server and a code action skill |
57 
58> [!TIP]
59> **Freeact agent**
60>
61> [Freeact](https://github.com/gradion-ai/freeact) is a general-purpose agent built on ipybox.

Preview

gradion-ai/ipyboxgradion-ai/ipybox
Repogradion-ai/ipybox
TypeMCP Servers
CategoryDebugging
UpdatedJun 2026
LicenseApache-2.0
First seenJul 27, 2026

Tags

MCPclaude-code-plugincode-execution

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