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SKILL.md
Automate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
No install command: skills.volces.com publishes no skills index the CLI can read.
Automate content operations on Xiaohongshu (小红书) using a bundled Python script that interacts with the xpzouying/xiaohongshu-mcp server (8.4k+ stars).
Project: xpzouying/xiaohongshu-mcp
This skill requires the xiaohongshu-mcp server to be running on your local machine.
Download the appropriate binaries for your system from the GitHub Releases page.
| Platform | MCP Server | Login Tool |
|---|---|---|
| macOS (Apple Silicon) | xiaohongshu-mcp-darwin-arm64 | xiaohongshu-login-darwin-arm64 |
| macOS (Intel) | xiaohongshu-mcp-darwin-amd64 | xiaohongshu-login-darwin-amd64 |
| Windows | xiaohongshu-mcp-windows-amd64.exe | xiaohongshu-login-windows-amd64.exe |
| Linux | xiaohongshu-mcp-linux-amd64 | xiaohongshu-login-linux-amd64 |
Grant execute permission to the downloaded files:
Run the login tool. It will open a browser window with a QR code. Scan it with your Xiaohongshu mobile app.
Important: Do not log into the same Xiaohongshu account on any other web browser, as this will invalidate the server's session.
Run the MCP server in a separate terminal window. It will run in the background.
The server will be available at http://localhost:18060.
This skill includes a Python client (scripts/xhs_client.py) to interact with the local server. You can use it directly from the shell.
| Command | Description | Example |
|---|---|---|
status | Check login status | python scripts/xhs_client.py status |
search <keyword> | Search for notes | python scripts/xhs_client.py search "咖啡" |
detail <id> <token> | Get note details | python scripts/xhs_client.py detail "note_id" "xsec_token" |
feeds | Get recommended feed | python scripts/xhs_client.py feeds |
publish <title> <content> <images> | Publish a note | python scripts/xhs_client.py publish "Title" "Content" "url1,url2" |
Check Status: First, ensure the server is running and you are logged in.
Search for a Keyword: Find notes related to your research topic. The output will include the feed_id and xsec_token needed for the next step.
Get Note Details: Use the feed_id and xsec_token from the search results to get the full content and comments of a specific note.
Analyze: Review the note's content, comments, and engagement data to gather insights.