xiaohongshu-mcp
使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。
npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Xiaohongshu browser-first collection Read [runtime.md](references/runtime.md) before startup and [cover-screening.md](references/cover-screening.md) before visual selection. ## First-run conversation Before collection, tell the user: - the recommended first-run batch is 25 notes; - the count is adjustable, but 25 is recommended; - collection is read-only and saves sanitized research evidence and requested images locally; - login does not authorize likes, saves, comments, follows, uploads, or publication. If required settings are missing, stop and invoke `onboard-growth-lab`. Give the user the exact configuration file and fields from [`CONFIGURATION.md`](../../CONFIGURATION.md); never ask them to paste a key, cookie, or signed URL into the conversation. ## Runtime ```powershell powershell -ExecutionPolicy Bypass -File collectors/xiaohongshu-mcp/scripts/start_xiaohongshu_service.ps1 python collectors/xiaohongshu-mcp/scripts/collect_xiaohongshu.py "<topic>" ` --limit 25 --cover-pool 25 ` --out "memory/xhs-replicate/<run>/xiaohongshu-search.json" ``` The service must be local HTTP only. If it is not logged in, explain the boundary, ask before opening the visible login window, run `lo
- First-run conversation
- Runtime
- Visual selection
- Data boundary
- Handoff
What does the xiaohongshu-mcp skill do?
使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。
How do I install it?
Run `npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From tsingyuai/growth-lab, a repository with 427 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.