Happy slice of mcp pizzaMCP.pizza

xhs-mcp-server

MCP.Pizza Chef: aicu-icu

Xiaohongshu (RED) creators and brand teams spend a lot of time copying numbers off the app. This pulls them directly: views, likes, saves, and comments across posts, filtered by keyword, topic, or date. It also gathers comments so you can see what people actually said and which themes keep coming up, and exports to a spreadsheet when you want one. Useful for creators checking what worked and for teams tracking a campaign.

Communication
Data
Web/Research

Use This MCP server To

Check which of my posts performed best Pull the comments on a post into one place Track how a campaign performed over time Compare my numbers against another account Find the common themes in my comments Export my post numbers to a spreadsheet

README

小红书MCP服务器 | xhs-mcp-server

基于Electron + 小红书Web API的极速开发利器 🚀
https://xhs-mcp.aicu.icu

小红书MCP服务器 - 专业数据获取与分析工具 | 智能运营决策助手

🔍 精准数据驱动小红书运营 小红书MCP服务器是一款专为数据化运营设计的AI辅助工具，通过智能连接小红书平台，帮助用户高效获取、深度分析、系统管理笔记与用户数据。无论是个人博主、品牌方还是MCN机构，都能通过数据洞察优化运营策略，提升账号表现！

📊 核心功能 ✅ 笔记数据获取

  • 批量抓取小红书笔记的阅读量、点赞、收藏、评论等核心指标
  • 支持按关键词、话题、时间范围筛选数据，精准定位目标内容

✅ 用户行为分析

  • 监测粉丝互动趋势，分析活跃时段、兴趣偏好
  • 竞品账号对比，挖掘高增长笔记的共性特征

✅ 评论管理与洞察

  • 自动整理笔记评论，提取高频关键词与情感倾向
  • 识别高价值用户，助力精准互动与粉丝维护

✅ 数据导出与可视化

  • 一键生成Excel/CSV报表，支持自定义数据字段
  • 可视化看板（折线图、柱状图等），直观呈现运营趋势

⚙️ 技术优势

  • 稳定高效：7×24小时运行，支持大规模数据抓取
  • 智能解析：AI辅助清洗与结构化数据，提升分析效率
  • 安全合规：采用合法接口，保障数据获取稳定性

🎯 适用场景 ✔ 个人博主：分析爆款笔记规律，优化内容方向 ✔ 品牌运营：追踪产品声量，评估营销活动效果 ✔ 数据研究：行业趋势分析，挖掘用户真实需求

#小红书数据分析 #运营工具 #用户行为分析 #数据抓取 #竞品监测

特性1： 极速启动 - 比泡面还快！

还在为搭建开发环境发愁？Node.js、UV、Python...这些统统say goodbye！ 我们的安装流程简单到连你家猫都能搞定：

  1. 📥 下载安装（比点外卖还简单）
  2. ⚡ 运行启动（比微波炉热饭还快）
  3. 📋 复制粘贴（比Ctrl+C/V还顺手）

特性2： API闪电战 - 让龟速工具无地自容！

那些需要模拟点击的"老古董"工具可以退休了！ 我们提供的是纯血统API服务，专治各种低效：

  • ⚡ 光速采集：1秒百篇笔记，快到让你怀疑人生
  • 🔍 数据全裸出镜：连页面抓取都看不到的隐藏数据，我们统统给你
  • 📊 智能整理：自动筛选+导出，让你的数据分析师感动到哭

👉 立即体验小红书开发的新姿势： https://xhs-mcp.aicu.icu

（温馨提示：使用后可能会对其他工具产生嫌弃心理，属正常现象）

[免责声明] 本工具威力很大很强悍，请低调使用知道吗宝贝 💇‍♂️

xhs-mcp-server FAQ

Can I use this to see which of my posts did best?
Yes — you can pull views, likes, saves, and comments across your posts and compare them.
Can I use this to read the comments in bulk?
Yes — it collects comments so you can look at recurring themes rather than scrolling one post at a time.
Do I need an account or key?
No separate key is documented, but you need access to the Xiaohongshu account whose data you are pulling.
Can I get the numbers into a spreadsheet?
Yes, it exports to spreadsheet formats so you can chart or share the results.
How hard is it to set up?
It ships as an app you install and start, but expect some setup on the first run.