xiaohongshu-mcp

تایید شده

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.

@openclaw
MIT۱۴۰۴/۱۲/۳
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نصب مهارت

مهارت‌ها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناخته‌شده را اسکن می‌کند اما نمی‌تواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.

نصب سراسری (سطح کاربر):

npx skillhub install openclaw/skills/xiaohongshu-mcp

نصب در پروژه فعلی:

npx skillhub install openclaw/skills/xiaohongshu-mcp --project

مسیر پیشنهادی: ~/.claude/skills/xiaohongshu-mcp/

بررسی هوش مصنوعی

کیفیت دستورالعمل65
دقت توضیحات68
کاربردی بودن54
صحت فنی63

A complete integration skill for China's Xiaohongshu platform with a working Python client. Heavily audience-limited by the platform's geographic scope. Missing error handling and negative triggers hold it back further.

محتوای SKILL.md

---
name: xiaohongshu-mcp
description: >
  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.
---

# 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.