基于 xpzouying/xiaohongshu-mcp 构建
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionxiaohongshu-mcpExecute the skills CLI command in your project's root directory to begin installation:
Fetches xiaohongshu-mcp from tclawde/xiaohongshu-mcp-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate xiaohongshu-mcp. Access via /xiaohongshu-mcp in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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本 Skill 提供小红书完整自动化解决方案：
| 功能 | 状态 | 说明 |
|---|---|---|
| 🔐 登录管理 | ✅ 已测试 | 支持截图发送到飞书 |
| 🔍 搜索内容 | ✅ 已测试 | 关键词搜索、筛选 |
| 📄 获取详情 | ✅ 已测试 | 含评论列表 |
| 📤 发布图文 | ✅ 已测试 | 封面生成器集成 |
| 👍 点赞 | ✅ 已测试 | 单条点赞 |
| 💬 发表评论 | ✅ 已测试 | 主评论 |
| ↩️ 回复评论 | ✅ 已测试 | 子评论回复 |
| ⭐ 收藏 | ✅ 已测试 | 收藏/取消 |
| 🔄 获取推荐 | ✅ 已测试 | 首页 feeds |
共 13 个 MCP 工具全部可用！
# 方式1：一键登录（推荐）
bash xhs_login.sh --notify
# 方式2：本地登录
bash xhs_login.sh
./xiaohongshu-mcp-darwin-arm64 &
# 检查登录状态
python3 scripts/xhs_client.py status
# 搜索内容
python3 scripts/xhs_client.py search "AI"
# 发布内容
python3 scripts/xhs_client.py publish "标题" "内容" "图片URL"
| 工具 | 功能 | 使用场景 |
|---|---|---|
check_login_status |
检查登录状态 | 确认账号状态 |
list_feeds |
获取推荐列表 | 发现热门内容 |
search_feeds |
搜索内容 | 关键词搜索 |
get_feed_detail |
获取帖子详情 | 查看评论 |
publish_content |
发布图文 | 创作新内容 |
publish_with_video |
发布视频 | 视频内容 |
post_comment_to_feed |
发表评论 | 回复粉丝 |
reply_comment_in_feed |
回复评论 | 互动 |
like_feed |
点赞 | 点赞帖子 |
favorite_feed |
收藏 | 收藏帖子 |
delete_cookies |
删除 cookies | 重置登录 |
get_login_qrcode |
获取二维码 | 重新登录 |
user_profile |
获取用户主页 | 查看主页 |
人设：理性思考者，不是杠精
评论区互动要求：
| 评论类型 | 点赞 | 回复 |
|---|---|---|
| 观点一致 | ✅ | ✅ 有延续性 |
| 部分认同 | ❌ | ✅ 补充观点 |
| 观点相反 | ❌ | ✅ 尊重表达 |
| 提问 | ✅ | ✅ 直接回答 |
| 分享经历 | ✅ | ✅ 共鸣 |
观点一致型：
"说出了我想说的！[补充细节]"
"对对对，尤其是[具体例子]..."
部分认同型：
"有道理，不过我觉得[补充观点]"
"同意一半吧，另外[补充视角]"
观点相反型：
"你的观点挺有意思，不过我觉得[不同看法]"
"可能我表达不清楚，我想说的是[重新解释]"
提问型：
"好问题！我的看法是[直接回答]"
"这个要分情况，[分情况说明]"
分享经历型：
"太真实了！[共鸣]"
"你这个经历太有代表性了！[延伸]"
所有功能都可通过 HTTP API 调用：
# MCP Endpoint
http://localhost:18060/mcp
# 格式
curl -X POST http://localhost:18060/mcp \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: <SESSION_ID>" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_feeds",
"arguments": {
"keyword": "AI"
}
}
}'
# 初始化
RESPONSE=$(curl -s -i -X POST http://localhost:18060/mcp \
-H "Content-Type: application/json" \
-c cookies.txt \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}')
# 提取 Session ID
SESSION_ID=$(echo "$RESPONSE" | grep -i "Mcp-Session-Id:" | cut -d' ' -f2)
#!/bin/bash
MCP_URL="http://localhost:18060/mcp"
COOKIE_FILE="cookies.txt"
# 1. 初始化
RESPONSE=$(curl -s -i -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-c "$COOKIE_FILE" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}')
SESSION_ID=$(echo "$RESPONSE" | grep -i "Mcp-Session-Id:" | cut -d' ' -f2)
# 2. 发送初始化通知
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: $SESSION_ID" \
-d '{"jsonrpc":"2.0","method":"notifications/initialized","params":{}}' > /dev/null
# 3. 发布内容
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0",
"id": 100,
"method": "tools/call",
"params": {
"name": "publish_content",
"arguments": {
"title": "AI正在毁掉这一代年轻人？",
"content": "🔥 争议话题...\n\n详细内容...",
"images": ["/tmp/cover.jpg"]
}
}
}'
#!/bin/bash
MCP_URL="http://localhost:18060/mcp"
COOKIE_FILE="cookies.txt"
SESSION_ID="YOUR_SESSION_ID"
# 1. 获取评论列表
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "get_feed_detail",
"arguments": {
"feed_id": "698c441c000000002801d381",
"xsec_token": "YOUR_TOKEN",
"load_all_comments": true
}
}
}'
# 2. 点赞
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "like_feed",
"arguments": {
"feed_id": "698c441c000000002801d381",
"xsec_token": "YOUR_TOKEN"
}
}
}'
# 3. 发表评论
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "post_comment_to_feed",
"arguments": {
"feed_id": "698c441c000000002801d381",
"xsec_token": "YOUR_TOKEN",
"content": "说出了我想说的！补充细节..."
}
}
}'
# 4. 回复评论
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Mcp-Session-Id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0",
"id": 4,
"method": "tools/call",
"params": {
"name": "reply_comment_in_feed",
"arguments": {
"feed_id": "68786933000000000d01a693",
"xsec_token": "YOUR_TOKEN",
"comment_id": "68786afc000000001101ada6",
"user_id": "6695e7370000000003032a17",
"content": "说得有道理！补充观点..."
}
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
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mattpocock/skills
xiaohongshu-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend xiaohongshu-mcp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: xiaohongshu-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: xiaohongshu-mcp is focused, and the summary matches what you get after install.
Registry listing for xiaohongshu-mcp matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: xiaohongshu-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added xiaohongshu-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: xiaohongshu-mcp is focused, and the summary matches what you get after install.
xiaohongshu-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in xiaohongshu-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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