Question 1

What is the UBOS MCP Server for Xiaohongshu?

Accepted Answer

The UBOS MCP Server for Xiaohongshu is a specialized solution that leverages the Model Context Protocol (MCP) to provide seamless access to Xiaohongshu data. It allows you to search notes, retrieve content and comments, and even post comments programmatically.

Question 2

What are the key features of this MCP Server?

Accepted Answer

Key features include JS reverse engineering for efficient x-s and x-t parameter extraction, searching notes, getting note content and comments, and the ability to post comments.

Question 3

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling AI models to access and interact with external data sources and tools.

Question 4

What are the prerequisites for using this server?

Accepted Answer

You need Node.js, Python 3.12, and UV (a Python package installer) installed on your system. You also need a Xiaohongshu cookie from a logged-in web session.

Question 5

How do I get the Xiaohongshu cookie?

Accepted Answer

Log in to Xiaohongshu on the web, and extract the cookie from your browser's developer tools.

Question 6

Is this project safe to use?

Accepted Answer

The project is intended for learning and research purposes. The developers are not responsible for any misuse. Use it at your own risk.

Question 7

Can I use this for commercial purposes?

Accepted Answer

No, the project is explicitly prohibited from being used for any commercial purposes.

Question 8

How does UBOS enhance the MCP Server experience?

Accepted Answer

UBOS provides a full-stack AI Agent development platform that simplifies AI Agent orchestration, data integration, custom AI Agent development, scalability, and reliability when working with the Xiaohongshu MCP Server.

Question 9

What if I have further questions or need support?

Accepted Answer

Refer to the official documentation or UBOS community forums for support.

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