MCP WASMPython Runner

MCP WASMPython Runner

A secure Docker-based MCP Python runner project that provides functions for quick start, development hot-reload, and image building.

Developer tools Security #Python runner #Docker security #MCP service #Development tool .Python

rating : 2 points

downloads : 7.0K

update time : 2025-04-28

What is MCP-WASMPython-Runner?

This is a secure Python runtime environment encapsulated using Docker container technology, supporting the execution of Python code through WebAssembly (WASM). It provides a secure code execution environment for large language model (LLM) applications.

How to use MCP-WASMPython-Runner?

Start the service with simple Docker commands, and then interact with the runtime environment through the HTTP interface.

Applicable scenarios

Suitable for AI applications, educational platforms, or online code evaluation systems that require secure execution of Python code.

Main features

Docker containerization

Use Docker to provide an isolated runtime environment to ensure secure code execution

WASM support

Support the execution of Python code through WebAssembly

Simple deployment

Simplify the deployment process through the make command

Advantages

Provide a secure code execution environment

Easy to deploy and manage

Support the hot-reload development mode

Limitations

Require Docker environment support

Performance may be limited by WASM

How to use

Clone the repository

First, you need to clone the project code to your local machine

Enter the project directory

Switch to the project directory

Start the service

Use the make command to start the Docker service

Stop the service

Use the make command to stop the Docker service

Usage examples

Integrate into an LLM client

Configure the service URL (http://[HOST_IP]:8000/sse) into the large language model client to implement the secure Python code execution function

Frequently Asked Questions

What preconditions are required?

How to modify the service port?

Related resources

GitHub repository

Project source code

Docker documentation

Official Docker documentation

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