XHS Eye MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@XHS Eye MCPPeek at this Xiaohongshu post and summarize it: https://xhslink.com/abc123"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
小红书眼睛(XHS Eye MCP)
独立、只读的小红书 MCP 服务。把小红书 App 的分享短链或带 xsec_token 的完整链接交给 xhs_peek,服务会:
读取标题、正文、作者、互动数据与页面中已有的首屏评论;
下载图文笔记配图并作为 MCP 图片内容块返回;
下载视频笔记,使用 ffprobe/ffmpeg 均匀抽取 4–8 帧并按顺序返回;
在不支持图片内容块的客户端中使用
image_mode="url",退回文字和媒体直链。
服务只接受小红书页面和小红书 CDN 域名,不提供任意 URL 代理;所有工具均为只读。OAuth 只授予 xhs:read,使用授权码 + PKCE,并支持 refresh token。
安全与资源边界:
页面跳转和媒体跳转的每一跳都会重新检查域名;媒体只允许 HTTPS;
结果缓存 6 小时,视频下载硬上限 200 MB;
每次最多返回 12 个图片内容块,Base64 图片数据还受单独的总量上限约束;
过期缓存和 OAuth 临时记录由每小时清理任务删除;
OAuth access token、refresh token 和授权码只以摘要形式存储,一次性凭证使用强一致原子更新;
动态客户端注册仅接受 ChatGPT 或本机回调,客户端信息使用签名载荷而不是永久记录;
工具参数在服务端再次校验,
xhs_peek标记为只读、非破坏性操作。
部署到独立 Netlify Site
新建 Site 并连接本仓库。仓库根目录就是项目根目录,Base directory 留空。
设置环境变量:
XHS_EYE_APPROVAL_TOKEN:安全随机授权码,只放在 Netlify 环境变量中;连接 ChatGPT 时粘贴它。XHS_MAX_VIDEO_MB=200XHS_CACHE_HOURS=6
部署后先访问
https://你的域名/health,应返回{ "ok": true }。OAuth discovery 位于
/.well-known/oauth-authorization-server,MCP endpoint 位于/mcp。在 ChatGPT Developer mode 的 Plugins 页面新建连接,填写
https://你的域名/mcp,扫描xhs_peek并完成 OAuth 授权。
Related MCP server: xhs-kit
本地验证
npm install
npm run checknpm test 同时执行 ffmpeg 与 ffprobe 的可执行检查;npm run check 还会用与 Netlify 相同的 esbuild 目标完成函数打包、导入和 250 MB 大小检查。生产环境要求 Node.js 22+;Netlify 构建会把两套二进制一并打包进 MCP 函数。
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