xiaohongshu-mcp✓ Pass

SKILL.md Content

---
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.

License

Declared license: MIT

MIT License

Copyright (c) 2026 openclaw

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View the license in the source repository — the version published there is authoritative.