ipybox▌
by gradion-ai
ipybox enables secure Python code execution with stateful IPython kernels, real-time output, file operations, and robust
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.
best for
- / AI agents needing safe code execution environments
- / Data analysis workflows requiring isolation
- / Testing Python code in clean environments
- / Automated scripting with security constraints
capabilities
- / Execute Python code in isolated Docker containers
- / Maintain stateful IPython kernels across executions
- / Upload files from host to container
- / Download files from container to host
- / Reset kernel to clean state
- / Stream real-time code execution output
what it does
Runs Python code in sandboxed Docker containers with persistent IPython sessions. Includes file transfer capabilities and network security controls for safe AI agent code execution.
about
ipybox is a community-built MCP server published by gradion-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. ipybox enables secure Python code execution with stateful IPython kernels, real-time output, file operations, and robust It is categorized under analytics data, developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install ipybox in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
ipybox is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
ipybox enables secure Python code execution with stateful IPython kernels, real-time output, file operations, and robust
TL;DR: Runs Python code in sandboxed Docker containers with persistent IPython sessions. Includes file transfer capabilities and network security controls for safe AI agent code execution.
What it does
- Execute Python code in isolated Docker containers
- Maintain stateful IPython kernels across executions
- Upload files from host to container
- Download files from container to host
- Reset kernel to clean state
- Stream real-time code execution output
Best for
- AI agents needing safe code execution environments
- Data analysis workflows requiring isolation
- Testing Python code in clean environments
- Automated scripting with security constraints
Highlights
- Docker-based sandboxing
- Stateful IPython sessions
- Network firewall controls