Introduction
# 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](https://github.com/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](https://github.com/xpzouying/xiaohongshu-mcp/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: ```shell 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.
```shell ./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.
```shell # 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
| 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"` |
### Example Workflow: Market Research
1. **Check Status**: First, ensure the server is running and you are logged in. ```shell 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. ```shell 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. ```shell 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.