agentleFS
wangfeiwest2025wangfeiwest2025/openclaw-integration-skills/xiaohongshu-mcp/SKILL.md

xiaohongshu-mcp

Skill0 starsChanged 9 months agoMITView on GitHub

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.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the login tool. It will open a browser window with a QR code.

    line 38
  2. Distinctive:

    Run the MCP server in a separate terminal window.

    line 48
  3. Very specific:

    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.

    line 86

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Xiaohongshu MCP Skill (with Python Client)

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

1. Local Server Setup

This skill requires the xiaohongshu-mcp server to be running on your local machine.

Step 1: Download Binaries

Download the appropriate binaries for your system from the GitHub Releases page.

PlatformMCP ServerLogin Tool
macOS (Apple Silicon)xiaohongshu-mcp-darwin-arm64xiaohongshu-login-darwin-arm64
macOS (Intel)xiaohongshu-mcp-darwin-amd64xiaohongshu-login-darwin-amd64
Windowsxiaohongshu-mcp-windows-amd64.exexiaohongshu-login-windows-amd64.exe
Linuxxiaohongshu-mcp-linux-amd64xiaohongshu-login-linux-amd64

Grant execute permission to the downloaded files:

chmod +x xiaohongshu-mcp-darwin-arm64 xiaohongshu-login-darwin-arm64

Step 2: Login (First Time Only)

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.

Step 3: Start the MCP Server

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.

2. Using the Skill

This skill includes a Python client (scripts/xhs_client.py) to interact with the local server. You can use it directly from the shell.

Available Commands

CommandDescriptionExample
statusCheck login statuspython scripts/xhs_client.py status
search <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 feeds
publish <title> <content> <images>Publish a notepython scripts/xhs_client.py publish "Title" "Content" "url1,url2"

Example Workflow: Market Research

  1. Check Status: First, ensure the server is running and you are logged in.
    python ~/clawd/skills/xiaohongshu-mcp/scripts/xhs_client.py status
  2. 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"
  3. 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"
  4. Analyze: Review the note's content, comments, and engagement data to gather insights.

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