Frequently Asked Questions (FAQ) about xhs-mcp

Q: What is xhs-mcp? A: xhs-mcp is a server that allows you to extract data from Xiaohongshu (Little Red Book) using JS reverse engineering. It provides access to features like searching notes, retrieving note content, accessing comments, and posting comments.

Q: What are the key features of xhs-mcp? A: The key features include using JS reverse engineering to obtain x-s and x-t parameters, searching notes, extracting note content, accessing note comments, and publishing comments.

Q: What are the prerequisites for using xhs-mcp? A: You need Node.js, Python 3.12, and uv (installed via pip install uv) to use xhs-mcp.

Q: How do I install the dependencies for xhs-mcp? A: Clone the xhs-mcp repository from GitHub, navigate to the project directory, and run uv sync.

Q: How do I get the Xiaohongshu cookie? A: Log in to the web version of Xiaohongshu and obtain your cookie from your browser’s developer tools.

Q: How do I configure the MCP server? A: Configure the xhs-mcp server by providing the necessary command-line arguments and environment variables, including your Xiaohongshu cookie, in the configuration file.

Q: Can xhs-mcp be used for commercial purposes? A: No, xhs-mcp is intended for learning and research purposes only. It should not be used for commercial purposes or any activity that involves commercial profit.

Q: How does xhs-mcp integrate with UBOS? A: Integrating xhs-mcp with UBOS allows you to leverage the extracted data within AI Agents, enabling them to access real-time information, automate data analysis, personalize user experiences, and improve marketing campaigns.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Q: What kind of data can I extract using xhs-mcp? A: You can extract data such as notes, comments, user profiles, and other publicly available information on Xiaohongshu.