Ipybox

An MCP server for sandboxed Python code execution with IPython and Docker, and file transfer.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "ipybox": {
      "command": "uvx",
      "args": [
        "ipybox"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

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.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Ipybox

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ipybox": { "command": "npx", "args": ["-y", "ipybox"] } }

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Technical Specs & Signals

CategoryCloud Platforms

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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