Question 1

What is xhs-mcp?

Accepted Answer

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.

Question 2

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

Accepted Answer

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).

Question 3

What are the prerequisites for using xhs-mcp?

Accepted Answer

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.

Question 4

How do I get a Xiaohongshu cookie?

Accepted Answer

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.

Question 5

How do I configure xhs-mcp?

Accepted Answer

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.

Question 6

Is xhs-mcp safe to use?

Accepted Answer

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.

Question 7

What is UBOS?

Accepted Answer

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.

Question 8

How does UBOS integrate with xhs-mcp?

Accepted Answer

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.

Question 9

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

Accepted Answer

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

Question 10

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

Accepted Answer

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

Question 11

Where can I find the xhs-mcp repository?

Accepted Answer

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

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