Question 1

What is the UBOS MCP Server?

Accepted Answer

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.

Question 2

What standard libraries are supported by the MCP Server?

Accepted Answer

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

Question 3

What functions are disabled by the MCP Server?

Accepted Answer

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`.

Question 4

How do I execute Python code using the MCP Server?

Accepted Answer

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

Question 5

Can the MCP Server execute file operations or network requests?

Accepted Answer

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

Question 6

What happens if the code execution results in an error?

Accepted Answer

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

Question 7

How does the UBOS MCP Server enhance AI development?

Accepted Answer

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.

Question 8

How does the MCP Server integrate with the UBOS platform?

Accepted Answer

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.

Python Safe Sandbox Execution Server

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