Overview
What is MCP Sandbox?
MCP Sandbox is an interactive tool that allows users to execute Python code in isolated Docker containers, providing a safe environment for code execution and package management.
How to use MCP Sandbox?
To use MCP Sandbox, clone the repository from GitHub, set up a virtual environment, and run the server. You can then interact with the sandbox through various tools provided in the application.
Key features of MCP Sandbox?
- 🐳 Docker Isolation: Securely run Python code in isolated Docker containers.
- 📦 Package Management: Easily install and manage Python packages within the sandbox.
- 📊 File Generation: Support for generating files and accessing them via web links.
Use cases of MCP Sandbox?
- Running Python scripts in a secure environment.
- Testing and developing Python applications without affecting the local environment.
- Educational purposes for learning Python programming.
FAQ from MCP Sandbox?
- Can I run any Python code in MCP Sandbox?
Yes! You can run any Python code as long as it adheres to the limitations of the Docker environment.
- How do I install packages in the sandbox?
Use the "install_package_in_sandbox" tool with the appropriate parameters to install packages.
- Is there a limit to the number of sandboxes I can create?
No, you can create as many sandboxes as your system resources allow.
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