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by JohanLi233 • Tools & CLI
An interactive Python sandbox that runs code inside isolated Docker containers, allowing safe execution, package installation, and file generation with MCP/SSE integration.
Execute arbitrary Python code securely in isolated Docker sandboxes and retrieve execution outputs and generated files.
Install and manage Python packages inside ephemeral or persistent sandboxes and check installation status asynchronously.
Real-time interaction via SSE (MCP integration) to run code, stream logs/results, and provide links to saved artifacts for downstream processing.
Python MCP Sandbox provides secure, Docker-isolated Python execution environments that let users and agents run code, install packages, and produce downloadable files. It includes package management with custom PyPI mirror support, optional API key authentication, a web UI, and Server-Sent Events (SSE) integration for use with MCP agents. Generated files are exposed via HTTP links, and the system is designed for safe, repeatable experiments and agent workflows. The project is open-source and intended for self-hosted or demo deployment.
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