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xiaohongshu-mcp

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Updated 10-15 23:47

About this skill

Xiaohongshu MCP Skill

Based on xpzouying/xiaohongshu-mcp built

🎯 Core Features

This Skill provides a complete Xiaohongshu automation solution:

Feature Status Description
🔐 Login Management ✅ Tested Supports sending screenshots to Feishu
🔍 Search Content ✅ Tested Keyword search, filtering
📄 Get Details ✅ Tested Includes comment list
📤 Publish Image & Text ✅ Tested Cover generator integration
👍 Like ✅ Tested Like a single post
💬 Post Comment ✅ Tested Main comment
↩️ Reply to Comment ✅ Tested Sub-comment reply
⭐ Favorite ✅ Tested Favorite/Unfavorite
🔄 Get Recommendations ✅ Tested Homepage feeds

All 13 MCP tools are fully available!

🚀 Quick Start

1. Log in

# 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

2. Start the MCP server

./xiaohongshu-mcp-darwin-arm64 &

3. Use the features

# 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"

📚 Complete Operation Guide

MCP Tool List

Tool Feature Use Case
check_login_status Check login status Confirm account status
list_feeds Get recommendation list Discover trending content
search_feeds Search content Keyword search
get_feed_detail Get post details View comments
publish_content Publish image & text Create new content
publish_with_video Publish video Video content
post_comment_to_feed Post comment Reply to fans
reply_comment_in_feed Reply to comment Interaction
like_feed Like Like post
favorite_feed Favorite Favorite post
delete_cookies Delete cookies Reset login
get_login_qrcode Get QR code Log in again
user_profile Get user profile View profile

💬 Comment Interaction Strategy

Persona maintenance

Persona: rational thinker, not a contrarian

Comment section interaction requirements:

  • ✅ Rational analysis, respect different opinions
  • ✅ Rebuttals backed by data
  • ✅ Natural conversational feel
  • ❌ Attack commenters
  • ❌ Argue unreasonably

Comment rules

Comment type Like Reply
Agreeing viewpoint ✅ ✅ Continuity
Partial agreement ❌ ✅ Add viewpoint
Opposing viewpoint ❌ ✅ Respectful expression
Question ✅ ✅ Direct answer
Share experience ✅ ✅ Resonance

Reply Templates

Agreement type:

"说出了我想说的![补充细节]"
"对对对,尤其是[具体例子]..."

Partial agreement type:

"有道理,不过我觉得[补充观点]"
"同意一半吧,另外[补充视角]"

Opposite opinion type:

"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]"

Question type:

"好问题!我的看法是[直接回答]"
"这个要分情况,[分情况说明]"

Experience sharing type:

"太真实了![共鸣]"
"你这个经历太有代表性了![延伸]"

Reply Requirements

  1. Reply to every comment - Show activity
  2. Topic relevance - Stick to the core of the post
  3. Continuity - Not perfunctory
  4. No AI feel - Natural and colloquial
  5. Maintain persona - Rational thinker

🔧 Technical Implementation

MCP HTTP API

All features can be called via HTTP API:

# 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"
      }
    }
  }'

MCP Session Retrieval

# 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)

Example: Complete Publishing Process

#!/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"]
      }
    }
  }'

Example: Comment Interaction

#!/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..."
      }
    }
  }'

🛠️ Script Tools

xhs_client.py - Python Client

# 检查状态
python3 scripts/xhs_client.py status

# 搜索
python3 scripts/xhs_client.py search "AI" --sort "最新" --type "图文" --time "一周内"

# 发布
python3 scripts/xhs_client.py publish "标题" "内容" "图片URL" --tags "标签1,标签2"

# 获取详情
python3 scripts/xhs_client.py detail <feed_id> <xsec_token> --comments

xhs_mcp.py - Direct MCP Call

# 列出所有工具
python3 scripts/xhs_mcp.py tools

# 发表评论
python3 scripts/xhs_mcp.py comment <feed_id> <xsec_token> "评论内容"

generate_cover.py - Cover Generator

# 生成封面
python3 generate_cover.py --title "标题" --output /tmp/cover.jpg

# 选项
--font-size 80      # 字体大小
--padding 60         # 内边距
--max-width 600      # 最大宽度

📁 File Structure

xiaohongshu-mcp-skill/
├── SKILL.md              # 本文档
├── README.md             # 中文文档
├── STRATEGY.md          # 运营策略(含评论互动)
├── install.sh            # 安装脚本
├── xhs_login.sh         # 一键登录
├── generate_cover.py     # 封面生成器
├── data/
│   ├── post_history.json   # 发布记录
│   ├── hot_topics.json    # 热点选题
│   └── cookies.json       # 登录 cookies
└── scripts/
    ├── xhs_client.py     # Python 客户端
    ├── xhs_mcp.py       # MCP 直接调用
    ├── xhs_login_sop.py  # 登录 SOP
    └── publish_smart.py   # 智能发布脚本

📊 Test Records

Tested Features ✅

Feature Status Test Time Notes
Publish Image and Text ✅ 2026-02-11 2 posts published
Search Content ✅ 2026-02-11 22 results
Get Details ✅ 2026-02-11 Includes comment list
Post Comment ✅ 2026-02-11 6 comments
Like ✅ 2026-02-11 API successful
Favorite ✅ 2026-02-11 Functioning normally
Reply to Comment ✅ 2026-02-11 API successful

Test Posts

  1. "Art academy students are all using AI? I just laughed"

    • Feed ID: 698c441c000000002801d381
    • Likes: 2, Comments: 6
  2. "Is AI destroying this generation of young people?"

    • Feed ID: 698c76f8000000001a024a93
    • Likes: 1, Comments: 0

🔗 Related Resources


📝 Changelog

v3.0 (2026-02-11)

  • ✅ Added complete comment interaction strategy
  • ✅ Added MCP HTTP API call examples
  • ✅ Added complete list of 13 tools
  • ✅ Added script tool usage instructions
  • ✅ Added technical implementation details
  • ✅ Added test records

v2.0 (2026-02-11)

  • ✅ Login fix (supports Xiaohongshu page changes)
  • ✅ Feishu notification integration
  • ✅ Python client improvements

v1.0 (2026-02-11)

  • ✅ Initial version
  • ✅ Basic publishing features
  • ✅ Search feature

Maintainer: TClawDE 🦀 Last updated: 2026-02-11