RedNote MCP Server

What does “RedNote” MCP Server do?

RedNote MCP Server is an MCP (Model Context Protocol) service designed to facilitate AI assistants’ access to content from RedNote (XiaoHongShu, 小红书/xhs). By bridging the gap between AI tools and external data sources, RedNote MCP allows developers and AI agents to perform keyword-based note searches, retrieve note and comment content via URLs, and manage authentication seamlessly. This greatly enhances development workflows by enabling direct data retrieval and interaction with XiaoHongShu’s vast content ecosystem, all while supporting persistent authentication and command-line utility. With these capabilities, RedNote MCP empowers AI systems to leverage rich social content in their interactions, automations, and user-facing features.

List of Prompts

No explicit prompt templates are documented in the repository or README.

List of Resources

No explicit resources are documented in the repository or README.

List of Tools

• 认证管理（支持 Cookie 持久化）: Authentication management with cookie persistence, allowing secure and continuous sessions for accessing XiaoHongShu content.
• 关键词搜索笔记: Keyword-based note search enables users or AI agents to find relevant notes based on input keywords.
• 通过 URL 访问笔记内容: Retrieve note content directly via its URL.
• 通过 URL 访问评论内容: Retrieve comments associated with a note by providing the note’s URL.

Use Cases of this MCP Server

• Content Discovery: Developers and AI assistants can search for specific notes on XiaoHongShu by keywords, enabling fast content curation or trend analysis.
• Automated Data Gathering: AI agents can automatically retrieve note or comment content from URLs for downstream analysis, summarization, or recommendation systems.
• User Engagement Analysis: Accessing both notes and their comments allows for sentiment analysis, user interaction studies, or social listening applications.
• Workflow Automation: Integration into development tools (like Cursor) lets developers automate research tasks that involve social content directly from their IDE.
• Authentication Management: Cookie-based persistent authentication saves time and ensures uninterrupted access during automated or repeated tasks.

How to set it up

Windsurf

No installation/configuration instructions for Windsurf found in the repository.

Claude

No installation/configuration instructions for Claude found in the repository.

Cursor

1. Ensure Node.js and playwright are installed.
2. Install RedNote MCP globally:

   npm install -g rednote-mcp
   

3. Initialize login (will open browser for XiaoHongShu login and save cookies):

   rednote-mcp init
   

4. Edit your Cursor settings.json and add:

   {
     "mcpServers": {
       "RedNote MCP": {
         "command": "rednote-mcp",
         "args": [
           "--stdio"
         ]
       }
     }
   }
   

   Or using npx:

   {
     "mcpServers": {
       "RedNote MCP": {
         "command": "npx",
         "args": [
           "rednote-mcp",
           "--stdio"
         ]
       }
     }
   }
   

5. Save the configuration and restart Cursor if needed.

Securing API Keys

No explicit API key usage or environment variable instructions found. Authentication is handled via browser-based login and cookie persistence.

Cline

No installation/configuration instructions for Cline found in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "RedNote MCP": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “RedNote MCP” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Roots support: ⛔ (Not documented)
Sampling support: ⛔ (Not documented)

Our opinion:
RedNote MCP provides a specialized and practical bridge for accessing XiaoHongShu content in development environments, especially for those needing social content integration. However, the documentation lacks details on prompts, resources, and advanced MCP features like roots or sampling, which limits its interoperability in more complex agentic workflows.

MCP Score

Rating:
Based on the tables above, I would rate this MCP server a 6/10 for general MCP integration: it covers essential use cases for XiaoHongShu access with clear authentication and tool features, but lacks advanced MCP resources, prompt templates, and explicit support for roots and sampling.