ipybox
FreeNot checkedProvides secure Python code execution in Docker containers with stateful IPython kernels, real-time output streaming, file operations, and network firewall cont
About
Provides secure Python code execution in Docker containers with stateful IPython kernels, real-time output streaming, file operations, and network firewall controls for safe AI agent code execution environments.
README
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:
- 📚 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.
Installing ipybox
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/gradion-ai/ipyboxFAQ
Is ipybox MCP free?
Yes, ipybox MCP is free — one-click install via Unyly at no cost.
Does ipybox need an API key?
No, ipybox runs without API keys or environment variables.
Is ipybox hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install ipybox in Claude Desktop, Claude Code or Cursor?
Open ipybox on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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