Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- 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.
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.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
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. PlatformMCP ServerLogin ToolmacOS (Apple Silicon)xiaohongshu-mcp-darwin-arm64xiaohongshu-login-darwin-arm64macOS (Intel)xiaohongshu-mcp-darwin-amd64xiaohongshu-login-darwin-amd64Windowsxiaohongshu-mcp-windows-amd64.exexiaohongshu-login-windows-amd64.exeLinuxxiaohongshu-mcp-linux-amd64xiaohongshu-login-linux-amd64 Grant execute permission to the downloaded files: chmod +x xiaohongshu-mcp-darwin-arm64 xiaohongshu-login-darwin-arm64
Run the login tool. It will open a browser window with a QR code. Scan it with your Xiaohongshu mobile app. ./xiaohongshu-login-darwin-arm64 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. # Run in headless mode (recommended) ./xiaohongshu-mcp-darwin-arm64 # Or, run with a visible browser for debugging ./xiaohongshu-mcp-darwin-arm64 -headless=false 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.
CommandDescriptionExamplestatusCheck login statuspython scripts/xhs_client.py statussearch <keyword>Search for notespython scripts/xhs_client.py search "咖啡"detail <id> <token>Get note detailspython scripts/xhs_client.py detail "note_id" "xsec_token"feedsGet recommended feedpython scripts/xhs_client.py feedspublish <title> <content> <images>Publish a notepython scripts/xhs_client.py publish "Title" "Content" "url1,url2"
Check Status: First, ensure the server is running and you are logged in. python ~/clawd/skills/xiaohongshu-mcp/scripts/xhs_client.py status 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. python ~/clawd/skills/xiaohongshu-mcp/scripts/xhs_client.py search "户外电源" 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. python ~/clawd/skills/xiaohongshu-mcp/scripts/xhs_client.py detail "64f1a2b3c4d5e6f7a8b9c0d1" "security_token_here" Analyze: Review the note's content, comments, and engagement data to gather insights.
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Largest current source with strong distribution and engagement signals.