Gradion Ai Ipybox
- 73 repo stars
- Updated June 11, 2026
- gradion-ai/ipybox
gradion-ai-ipybox is a Claude Code plugin that provides a Docker sandbox to run Python, shell, and MCP tool calls from your agent.
About
gradion-ai-ipybox is a Claude Code plugin bundle from gradion-ai/ipybox that gives developers a unified execution environment for Python, shell commands, and MCP tool calls inside containerized sandboxes. If you are shipping agent workflows that must not run arbitrary code on your host, this package is meant to be the default runtime layer: Docker-backed isolation, MCP-aware programmatic invocation, and CodeAct-friendly patterns. The catalog lists three plugins in one repo so you can pick default, containerless, or sandbox-focused variants without hunting separate installs. It fits developers who already use Claude Code and want MCP tools and Python to share one execution box rather than ad hoc subprocess glue. Complexity is intermediate because you need Docker and comfort wiring MCP servers. It is not a hosted cloud sandbox product on its own—it is the open plugin set that connects your agent to local or self-managed containers.
- Unified runner for Python snippets, shell commands, and programmatic MCP tool calls
- Docker-based sandbox runtime with container isolation for untrusted agent code
- Bundle includes 3 related plugins for default, with/without container, and MCP workflows
- Targets CodeAct and MCP-heavy Claude Code setups that need repeatable execution
- Keywords span ipybox, sandboxruntime, docker, python, and mcp for discovery
Gradion Ai Ipybox by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| repo stars | ★ 73 |
|---|---|
| Last updated | June 11, 2026 |
| Repository | gradion-ai/ipybox ↗ |
What it does
Run agent-generated Python, shell, and MCP tool calls inside a Docker sandbox instead of on your laptop.
Who is it for?
Best when you're running CodeAct or MCP-heavy Claude Code workflows and already use Docker and want one sandbox for Python plus tools.
Skip if: Skip if you need a fully managed cloud sandbox with no local Docker, or pure static codegen with zero execution.
What you get
After you add the plugin bundle, agent code and MCP calls can run in an isolated ipybox container with a consistent runtime.
- Container-backed execution path for Python and shell from the agent
- Programmatic MCP invocation inside the same sandbox context
- Choice among 3 bundled plugin variants for default vs sandbox-focused setups
By the numbers
- Plugin bundle lists 3 plugins in one repository (gradion-ai/ipybox).
- Public catalog metadata shows approximately 74 GitHub stars on the source repo.
- Plugin keywords include docker, mcp, python, sandbox, and sandboxruntime.
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FAQ
Who is Gradion Ai Ipybox for?
Claude Code users who need isolated Python, shell, and MCP execution for agent workflows on their own machine or infra.
When should I use Gradion Ai Ipybox?
When you are building or testing agent tools that execute code and you want Docker isolation instead of running directly on the host.
How do I add Gradion Ai Ipybox to my agent?
Install the gradion-ai/ipybox Claude Code plugin bundle from the repo, enable Docker, then register the ipybox plugins and point MCP or CodeAct flows at the sandbox runtime.