Frequently Asked Questions

Q: What is the UBOS MCP Server?

A: The UBOS MCP Server is a secure Python sandbox execution tool that allows you to safely execute Python code snippets within your AI workflows. It operates within the Model Context Protocol (MCP) and provides a controlled environment for running code without compromising security.

Q: What standard libraries are supported by the MCP Server?

A: The MCP Server supports a range of standard Python libraries, including math, statistics, decimal, fractions, functools, random, string, time, datetime, json, and re.

Q: What functions are disabled by the MCP Server?

A: The MCP Server disables potentially harmful built-in functions such as eval, exec, open, input, globals, locals, breakpoint, compile, delattr, setattr, exit, quit, help, memoryview, vars, and dir.

Q: How do I execute Python code using the MCP Server?

A: You can execute Python code by invoking the python_exec MCP function with a string containing the code you want to execute.

Q: Can the MCP Server execute file operations or network requests?

A: No, the MCP Server is designed to prevent file operations, network requests, and other potentially dangerous operations.

Q: What happens if the code execution results in an error?

A: If the code execution results in an error, the MCP Server will return an error message.

Q: How does the UBOS MCP Server enhance AI development?

A: The UBOS MCP Server enhances AI development by providing a secure and reliable environment for executing Python code, which is essential for various AI tasks such as data processing, model evaluation, and integration with external APIs.

Q: How does the MCP Server integrate with the UBOS platform?

A: The MCP Server seamlessly integrates with the UBOS platform, allowing you to incorporate it into your AI workflows and take advantage of its security and reliability features.