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Python Sandbox MCP Server

@cloudywu0410

Repository

About Python Sandbox MCP Server

A MCP server that enables LLMs to run python code safely in isolated Docker containers.

Basic information

Category

Reasoning

Runtime

python

Transports

stdio

Publisher

cloudywu0410

Submitted by

cloudywu0410

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "python-sandbox-sse": {
      "command": "mcp-proxy",
      "args": [
        "http://localhost:8060/eval"
      ],
      "ssePath": "/eval"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Python Sandbox MCP Server?

A secure Python code execution server that enables LLMs to run Python code safely in isolated Docker containers. It supports stdout capture, Matplotlib plotting with PNG image generation, and real-time communication via Server-Sent Events (SSE). The server uses the Snekbox Docker container for sandboxing, providing a safe environment for code execution. It is designed for integration with MCP-compatible clients such as Claude Desktop.

How to use Python Sandbox MCP Server?

First, clone the repository and install dependencies using uv add -r requirements.txt. Then pull the Snekbox Docker image and start the container with security parameters. Optionally install additional Python packages inside the container. Finally, update your MCP client configuration to point to the local build, e.g., using mcp-proxy with SSE endpoint http://localhost:8060/eval. The server can be configured via environment variables MCP_SERVER_NAME, SNEKBOX_URL, and TEMP_DIR.

Key features of Python Sandbox MCP Server

  • Regular Python code execution with stdout capture
  • Matplotlib plotting with PNG image generation

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