mcp-name: io.github.gradion-ai/ipybox
ipybox is a unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
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
- 🏗️ Architecture
- 🤖 llms.txt
- 🤖 llms-full.txt
| 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 |
| 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 |