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
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPI | mcp-python-exec-sandbox | 0.1.5 | stdio |
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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