Question 1

What is xhs-mcp?

Accepted Answer

xhs-mcp is an implementation of the Model Context Protocol (MCP) specifically designed to access data from the Xiaohongshu (Red Book) platform. It allows AI agents to search notes, retrieve content, access comments, and even post comments (with ethical considerations). It uses JS reverse engineering to avoid the need for Playwright.

Question 2

What is MCP?

Accepted Answer

MCP (Model Context Protocol) is a standard that helps AI models access and interact with external data sources and tools in a consistent and efficient way.

Question 3

What are the key features of xhs-mcp?

Accepted Answer

Key features include JS reverse engineering for extracting security parameters, direct HTTP API requests to Xiaohongshu, lightweight design, and easy integration with AI applications.

Question 4

What are the use cases for xhs-mcp?

Accepted Answer

Use cases include market research, competitive analysis, influencer marketing, content creation, social listening, AI-powered customer service, trend forecasting, sentiment analysis, and product recommendation.

Question 5

How do I install xhs-mcp?

Accepted Answer

You will need Node.js, Python 3.12, and uv (install with `pip install uv`). Clone the repository, navigate to the directory, and run `uv sync` to install dependencies.

Question 6

How do I get the Xiaohongshu cookie?

Accepted Answer

Open the Xiaohongshu website, log in, and extract the cookie from your browser's developer tools. Configure this cookie in the `XHS_COOKIE` environment variable.

Question 7

How do I configure the MCP server?

Accepted Answer

You need to configure the `mcpServers` section in your configuration file (e.g., `config.json`) with the command to run the xhs-mcp service, including arguments and environment variables.

Question 8

What is UBOS, and how does xhs-mcp integrate with it?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform. Integrating xhs-mcp with UBOS allows you to seamlessly incorporate Xiaohongshu data into your AI agent workflows for orchestration, custom agent development, and LLM integration.

Question 9

What are the benefits of integrating xhs-mcp with UBOS?

Accepted Answer

Benefits include simplified data access, orchestration and automation of AI agent workflows, custom AI agent development, LLM model integration, and multi-agent system support.

Question 10

What ethical considerations should I keep in mind when using xhs-mcp?

Accepted Answer

Adhere to ethical guidelines, respect user privacy, avoid scraping data without permission, and be transparent about data collection practices. Comply with all applicable regulations.

Question 11

What are the technical considerations when using xhs-mcp?

Accepted Answer

Be aware of dependencies, cookie management, rate limiting, data security, and potential API changes by Xiaohongshu.

Question 12

Where can I find more information and support for xhs-mcp?

Accepted Answer

Refer to the xhs-mcp GitHub repository for documentation, examples, and community support.

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