Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

Question 2

What is the Xiaohongshu MCP Server?

Accepted Answer

It's a tool based on Playwright that automates tasks on Xiaohongshu, like searching, getting content, and posting comments, by connecting to an MCP Client.

Question 3

What are the main features of this MCP Server?

Accepted Answer

Key features include automated login, keyword search, note content extraction, note comment extraction, and intelligent comment posting with different comment types.

Question 4

How do I install the Xiaohongshu MCP Server?

Accepted Answer

You need Python 3.8+, then clone the project, create a virtual environment, install dependencies using pip, install browsers with Playwright, and configure your MCP Client.

Question 5

How do I use the Xiaohongshu MCP Server?

Accepted Answer

Start the server via the command line or MCP Client. Use functions like `mcp0_login()`, `mcp0_search_notes()`, `mcp0_get_note_content()`, `mcp0_get_note_comments()`, and `mcp0_post_smart_comment()` through the MCP Client.

Question 6

What kind of comments can I post with the 'Intelligent Comment Posting' feature?

Accepted Answer

You can post comments with types like '引流' (lead generation), '点赞' (positive engagement), '咨询' (inquiry-based interaction), and '专业' (expertise demonstration).

Question 7

What do I do if I get a 'Connection Failure' error?

Accepted Answer

Ensure the correct Python interpreter path is used, verify the MCP server is running, and try restarting both the MCP server and client.

Question 8

What do I do if I get a 'Page.goto: Target page, context or browser has been closed' error?

Accepted Answer

Restart the MCP server and reconnect.

Question 9

Is the Xiaohongshu MCP Server free to use?

Accepted Answer

The MCP Server itself might be, but you need to check the license and terms of use of the original project (RednoteMCP) and any dependencies. Also, using AI services like Claude might incur costs.

Question 10

Can I use this MCP Server for commercial purposes?

Accepted Answer

Check the license and terms of use. Be aware of Xiaohongshu's rules and comply with all applicable laws and regulations.

Question 11

What is UBOS and how does it relate to this MCP Server?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that integrates with this MCP Server to enhance its capabilities and create sophisticated AI-driven marketing strategies.

Question 12

Where can I find the source code?

Accepted Answer

This server is based on [JonaFly/RednoteMCP](https://github.com/JonaFly/RednoteMCP.git).

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