What is the UBOS MCP Server for Xiaohongshu?

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.

What are the key features of this MCP Server?

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.

What is MCP (Model Context Protocol)?

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.

What are the prerequisites for using this server?

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.

How do I get the Xiaohongshu cookie?

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

Is this project safe to use?

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

Can I use this for commercial purposes?

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

How does UBOS enhance the MCP Server experience?

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.

What if I have further questions or need support?

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