xiaohongshu-mcp

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.

1,864 stars

Best use case

xiaohongshu-mcp is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using xiaohongshu-mcp should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/xiaohongshu-mcp/SKILL.md --create-dirs "https://raw.githubusercontent.com/LeoYeAI/openclaw-master-skills/main/skills/xiaohongshu-mcp/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/xiaohongshu-mcp/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How xiaohongshu-mcp Compares

Feature / Agentxiaohongshu-mcpStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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.

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