小

小红书热帖获取

@chaseSpace

关于小红书热帖获取

暂无概览

基本信息

分类

浏览器自动化

传输方式

stdio

发布者

chaseSpace

提交者

LEI LI

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_fetch_xhs_post": {
      "command": "仅支持本地sse部署",
      "args": [],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 小红书热帖获取?

小红书热帖获取 is an MCP server that fetches trending posts from Xiaohongshu (Little Red Book) based on a keyword. It uses the FastMCP SDK and requires user authentication via QR code delivered through DingTalk. Developers and researchers can integrate this server into MCP clients to retrieve post data for educational or research purposes.

How to use 小红书热帖获取?

Clone the repository, install dependencies with uv sync, then run uv run main.py. Configure DingTalk webhook and secret in a mcp.env file. Add the server to your MCP client with transport type SSE and URL http://127.0.0.1:9090/sse. On first run, scan the QR code sent to DingTalk to log in to Xiaohongshu. Use the fetch_xhs_hot_post tool to get posts by keyword.

Key features of 小红书热帖获取

Fetches hot Xiaohongshu posts by keyword
Returns 5–10 posts per request (configurable)
Includes title, content, publish time, and tags
Uses DingTalk for secure login
Runs locally with Python 3.12+ and Chrome

Use cases of 小红书热帖获取

Analyze trending topics on Xiaohongshu
Collect data for social media research
Monitor keyword-specific content trends
Feed post data into analytics pipelines

FAQ from 小红书热帖获取

How does authentication work?

The server sends a Xiaohongshu login QR code to a configured DingTalk group. You must scan it within 30 seconds; the process retries up to 3 times.

What data fields are returned for each post?

Each post includes its title, content, publish time, and associated tags. Refer to the Post model in model.py for the full schema.

Can I fetch more than 10 posts?

No. The server fetches a default of 5–10 posts per request and does not support pagination.

What are the system requirements?

Python 3.12+, Chrome browser, and an active internet connection. DingTalk robot credentials are required.

Is this server available on PyPI?

No. It is only distributed via GitHub for local deployment.

评论

浏览器自动化分类下的更多 MCP 服务器

BrowserTools MCP

Monitor browser logs directly from Cursor and other MCP compatible IDEs.

MCP Browser Kit

An MCP Server that enables AI assistants to interact with your local browsers.

Browser Control MCP

MCP server paired with a browser extension that enables AI agents to control the user's browser.

fetch-mcp

An MCP server for fetching URLs / Youtube video transcript.

Yoyo

🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.