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Code execution · MCP server

Ipybox: MCP server, setup and security

Ipybox is an open-source MCP server published on GitHub that lets an AI agent execute Python code, shell commands and programmatic MCP tool calls. Its repository has 76 stars and its last commit is from June 11, 2026 and it is licensed under Apache-2.0.

Last commit 5 months agoSystem access

What Ipybox does

According to its repository: “Unified execution environment for Python code, shell commands, and programmatic MCP tool calls”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Ipybox is listed under Code execution, a category of 32 servers in the directory, where it ranks #17 by stars.

Topics declared by the repository: code-execution, code-interpreter, code-sandbox, python, mcp-client, ipython.

Installing and connecting Ipybox

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for Ipybox:

  • System access: the Code execution category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on December 3, 2024, the gradion-ai/ipybox repository has 76 stars and 18 forks, with 3 open issues. It has more stars than 61% of the servers in the directory. Last change 5 months ago. Version published in the registry: 0.9.2 (June 1, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Container useContainer use : 4.1K4.1KMATLAB MCP ServerMATLAB MCP Server : 1.7K1.7KLLM SandboxLLM Sandbox : 1.1K1.1KTidewave PhoenixTidewave Phoenix : 858858Tidewave RailsTidewave Rails : 476476SuperserveSuperserve : 466466IPhone UseIPhone Use : 345345OrcaReplayOrcaReplay : 281281IpyboxIpybox : 7676
GitHub stars of the most followed servers in the category (log scale); Ipybox in orange. Checked October 25, 2026.

Verdict

Ipybox is a reasonable choice; check the points below before connecting it.

Strengths

  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Avoid if…

  • You cannot isolate the agent (sandbox, container)

Frequently asked questions

How do I install Ipybox?

Ipybox is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of gradion-ai/ipybox.

Is Ipybox free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Ipybox safe?

Points to watch: system access. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by gradion-ai on GitHub. Check who maintains it before giving it access.

What are the alternatives to Ipybox?

In the same category: Container use, LLM Sandbox, Tidewave Phoenix, and Superserve. Container use and LLM Sandbox score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score