Skip to main content
Glama
ShellyDeng08

rednote-analyzer-mcp

by ShellyDeng08

RedNote Analyzer MCP - 小红书 AI 分析工具

PyPI version PyPI downloads Python 3.11+ License: MIT MCP Compatible

Install: pipx install rednote-analyzer-mcp | PyPI: pypi.org/project/rednote-analyzer-mcp

MCP Server for Xiaohongshu (小红书/RED) - 让 Claude、ChatGPT 等 AI 助手能够搜索、分析、生成小红书内容。

A Model Context Protocol server that enables AI assistants to search, analyze, and generate content for China's leading lifestyle social media platform.

Keywords: 小红书 API, 小红书爬虫, 小红书数据分析, XHS API, RedNote API, MCP Server, Claude Tools, AI Content Generation, 小红书笔记分析, 爆款分析

English | 中文

Screenshot


先决条件

安装

第一步:安装

pipx install rednote-analyzer-mcp

第二步:登录小红书(必须)

rednote-login

浏览器会打开小红书,扫码或手机号登录,登录成功后自动保存 Cookie。

⚠️ 不登录直接用会返回空结果!

⚠️ 风控提示:小红书有严格的反爬机制。本工具已内置限流(每分钟最多 10 次请求,每次请求间隔至少 3 秒),但仍建议:

  • 避免短时间内大量请求

  • 如果账号被限制,等待 24 小时后再试

  • 仅用于个人学习研究,不要用于商业爬取

第三步:配置 AI 工具

选择你用的工具:

Claude Code

在项目根目录创建 .mcp.json 文件:

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

或者用命令添加:

# 添加到当前项目
claude mcp add rednote-analyzer-mcp -s local \
  -e REDNOTE_ADAPTER=playwright \
  -e REDNOTE_HEADLESS=true \
  -- uvx rednote-analyzer-mcp

# 添加到全局(所有项目可用)
claude mcp add rednote-analyzer-mcp -s user \
  -e REDNOTE_ADAPTER=playwright \
  -e REDNOTE_HEADLESS=true \
  -- uvx rednote-analyzer-mcp

Claude Desktop

编辑 claude_desktop_config.json

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

Cursor

创建 .cursor/mcp.json(项目级)或 ~/.cursor/mcp.json(全局):

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

VS Code (GitHub Copilot)

创建 .vscode/mcp.json

{
  "servers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

Windsurf

编辑 ~/.codeium/mcp_config.json

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

其他工具

通用配置模式:

配置项

command

uvx

args

["rednote-analyzer-mcp"]

env

{"REDNOTE_ADAPTER": "playwright", "REDNOTE_HEADLESS": "true"}


使用

配置完成后,直接跟 AI 对话:

"搜索小红书上关于美股的热门笔记"

"分析这些笔记的爆款规律"

"帮我写一篇关于基金定投的小红书文案"

"把这段文字改写成小红书风格"


工具列表

工具

功能

rednote_search_notes

搜索笔记

rednote_get_note_detail

获取笔记详情和评论

rednote_analyze_note

分析笔记结构和爆款元素

rednote_extract_patterns

批量分析,提取规律

rednote_generate_post

生成帖子大纲

rednote_rewrite_in_style

改写为小红书风格


常见问题

Q: 怎么更新?

pipx upgrade rednote-analyzer-mcp

Q: 搜索返回空结果?

A: 没有登录。运行 rednote-login 登录一次。

Q: Cookie 过期了?

A: 重新运行 rednote-login

Q: 怎么查看 MCP 是否连接成功?

A: Claude Code 运行 claude mcp list,其他工具看各自的 MCP 状态面板。


License

MIT | 开发指南


English

What is RedNote Analyzer MCP?

RedNote Analyzer MCP is a Model Context Protocol (MCP) server that connects AI assistants like Claude to Xiaohongshu (小红书/RED/RedNote), China's most popular lifestyle social media platform with 300M+ users.

Use Cases

  • Content Research: Search and analyze trending posts on any topic

  • Viral Pattern Analysis: Extract what makes content go viral on RedNote

  • Content Generation: Generate RedNote-style posts with AI assistance

  • Market Research: Understand Chinese consumer trends and preferences

Prerequisites

  • Python 3.11+

  • pipx or uv

  • Chromium browser (auto-downloaded during install)

Installation

Step 1: Install

pipx install rednote-analyzer-mcp

Step 2: Log in to Xiaohongshu (required)

rednote-login

A browser will open. Log in with your phone number or scan QR code. Cookies are saved automatically after login.

⚠️ Skipping login will result in empty search results!

⚠️ Risk Warning: Xiaohongshu has strict anti-scraping measures. This tool has built-in rate limiting (max 10 requests/minute, min 3 seconds between requests), but please:

  • Avoid making too many requests in a short time

  • If your account gets restricted, wait 24 hours before retrying

  • Use only for personal learning and research, not commercial scraping

Step 3: Configure your AI tool

Choose your tool:

Claude Code

Create .mcp.json in your project root:

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

Or use CLI:

# Add to current project
claude mcp add rednote-analyzer-mcp -s local \
  -e REDNOTE_ADAPTER=playwright \
  -e REDNOTE_HEADLESS=true \
  -- uvx rednote-analyzer-mcp

# Add globally (all projects)
claude mcp add rednote-analyzer-mcp -s user \
  -e REDNOTE_ADAPTER=playwright \
  -e REDNOTE_HEADLESS=true \
  -- uvx rednote-analyzer-mcp

Claude Desktop

Edit claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

Cursor

Create .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

VS Code (GitHub Copilot)

Create .vscode/mcp.json:

{
  "servers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

Windsurf

Edit ~/.codeium/mcp_config.json:

{
  "mcpServers": {
    "rednote-analyzer-mcp": {
      "command": "uvx",
      "args": ["rednote-analyzer-mcp"],
      "env": {
        "REDNOTE_ADAPTER": "playwright",
        "REDNOTE_HEADLESS": "true"
      }
    }
  }
}

Other Tools

General config pattern:

Key

Value

command

uvx

args

["rednote-analyzer-mcp"]

env

{"REDNOTE_ADAPTER": "playwright", "REDNOTE_HEADLESS": "true"}


Usage

After setup, talk to your AI:

"Search for trending posts about US stocks (美股) on RedNote"

"Analyze the viral patterns of these notes"

"Help me write a RedNote post about ETF investing"

"Rewrite this text in RedNote style"


Tools

Tool

Function

rednote_search_notes

Search notes

rednote_get_note_detail

Get note details and comments

rednote_analyze_note

Analyze note structure and viral elements

rednote_extract_patterns

Batch analyze, extract patterns

rednote_generate_post

Generate post outline

rednote_rewrite_in_style

Rewrite in RedNote style


FAQ

Q: How to update?

pipx upgrade rednote-analyzer-mcp

Q: Search returns empty results?

A: You haven't logged in. Run rednote-login to log in.

Q: Cookie expired?

A: Run rednote-login again.

Q: How to check if MCP is connected?

A: Claude Code: run claude mcp list. Other tools: check their MCP status panel.


License

MIT | Contributing

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ShellyDeng08/rednote-analyzer-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server