io.github.gradion-ai/ipybox

Official registry Developer tools

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package ipybox
Claude Code
claude mcp add ipybox -- uvx ipybox==0.9.2 --workspace '<directory_path>' --sandbox --sandbox-config '<file_path>' --log-level '<DEBUG|INFO|WARNING|ERROR|CRITICAL>'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "ipybox": {
            "command": "uvx",
            "args": [
                "ipybox==0.9.2",
                "--workspace",
                "<directory_path>",
                "--sandbox",
                "--sandbox-config",
                "<file_path>",
                "--log-level",
                "<DEBUG|INFO|WARNING|ERROR|CRITICAL>"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. ipybox
  2. Overview
  3. Documentation:
  4. Capabilities
  5. Usage

ipybox

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<0.7.

Documentation:

Capabilities

CapabilityDescription
Stateful executionState persists across executions in IPython kernels
Unified executionCombine Python code, shell commands, and programmatic MCP tool calls in a code block
Shell command executionRun shell commands via !cmd syntax, capture output into Python variables
Programmatic MCP tool callsMCP tools called via generated Python API ("code mode"), not JSON directly
Python tool API generationTyped functions and Pydantic models generated from MCP tool schemas via mcpygen
Application-level approvalIndividual approval of tool calls and shell commands during code execution
Lightweight sandboxingOptional kernel isolation via Anthropic's sandbox-runtime
Local executionNo cloud dependencies, everything runs locally on your machine

Usage

ComponentDescription
Python SDKPython API for building applications on ipybox
MCP serveripybox as MCP server for code actions and programmatic tool calling
Claude Code pluginPlugin that bundles the ipybox MCP server and a code action skill

[!TIP] Freeact agent

Freeact is a general-purpose agent built on ipybox.

Frequently asked questions

What is io.github.gradion-ai/ipybox?

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

How do I install io.github.gradion-ai/ipybox?

It runs on your machine. In Claude Code: claude mcp add ipybox -- uvx ipybox==0.9.2 --workspace '<directory_path>' --sandbox --sandbox-config '<file_path>' --log-level '<DEBUG|INFO|WARNING|ERROR|CRITICAL>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.gradion-ai/ipybox need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.gradion-ai/ipybox open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Who maintains io.github.gradion-ai/ipybox?

It is published by gradion-ai. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.