Developer · Local MCP server

Python Exec Sandbox

Sandboxed Python execution for AI agents. PEP 723 inline deps, multi-version Python, zero pollution.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.lu-zhengda/mcp-python-exec-sandbox
Version
0.1.5
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2026-02-09
Updated
2026-02-09
Publisher
lu-zhengda (GitHub) · 2 servers with pages here
Repository
github.com/lu-zhengda/mcp-python-exec-sandbox
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPImcp-python-exec-sandbox0.1.5stdioNone declared

How to connect Python Exec Sandbox

Python Exec Sandbox runs locally from a Python package published to PyPI: mcp-python-exec-sandbox version 0.1.5. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx mcp-python-exec-sandbox.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "mcp-python-exec-sandbox": {
      "command": "uvx",
      "args": [
        "mcp-python-exec-sandbox"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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