Frequently Asked Questions about xhs-mcp and UBOS

Q: What is xhs-mcp?

A: xhs-mcp is a server designed to access and extract data from Xiaohongshu (Little Red Book) by reverse engineering JavaScript to interact directly with HTTP APIs, avoiding the need for a full browser environment like Playwright.

Q: What kind of data can I extract with xhs-mcp?

A: You can extract notes, search for specific content, retrieve note content, get comments on notes, and even post comments programmatically (with careful consideration of Xiaohongshu’s terms of service).

Q: What are the prerequisites for using xhs-mcp?

A: You need Node.js, Python 3.12, and the UV package manager installed. You also need a valid Xiaohongshu cookie obtained from your logged-in web session.

Q: How do I get a Xiaohongshu cookie?

A: Log in to Xiaohongshu on the web, open your browser’s developer tools (usually by pressing F12), and find the cookie in the Network tab under the request headers.

Q: How do I configure xhs-mcp?

A: You need to create a JSON configuration file that specifies the command to run the xhs-mcp server, the arguments to pass to the command, and the environment variables, including your Xiaohongshu cookie.

Q: Is xhs-mcp safe to use?

A: xhs-mcp is intended for educational and research purposes only. You must use it responsibly and ethically, complying with Xiaohongshu’s terms of service. The developers are not responsible for any misuse of the tool.

Q: What is UBOS?

A: UBOS is a full-stack AI Agent Development Platform designed to help businesses orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents with their LLM model and Multi-Agent Systems.

Q: How does UBOS integrate with xhs-mcp?

A: UBOS allows you to integrate xhs-mcp into AI agent workflows, connect the extracted data with your existing enterprise data sources, and build custom AI agents that leverage xhs-mcp data for various tasks like automated content generation or personalized product recommendations.

Q: Can I use Large Language Models (LLMs) with xhs-mcp and UBOS?

A: Yes, UBOS enables seamless integration with LLMs, allowing you to perform advanced text analysis on Xiaohongshu data, such as summarization, translation, and topic extraction.

Q: What are some use cases for xhs-mcp and UBOS together?

A: Use cases include market research, competitor analysis, sentiment analysis, data-driven content creation, social media monitoring, and e-commerce insights.

Q: Where can I find the xhs-mcp repository?

A: The xhs-mcp repository is located on GitHub at git@github.com:jobsonlook/xhs-mcp.git.