An MCP server that enables LLMs to analyze, understand, and generate RedNote (小红书) content through structured tools and prompts.
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# RedNote Analyzer MCP [](https://pypi.org/project/rednote-analyzer-mcp/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) 让 AI 助手能够**搜索、分析、生成**小红书内容的 MCP 服务器。 [English](#english) | [中文](#安装) --- ## 先决条件 - Python 3.11+ - [pipx](https://pipx.pypa.io/) 或 [uv](https://github.com/astral-sh/uv) ## 安装 ### 第一步：安装 ```bash pipx install rednote-analyzer-mcp ``` ### 第二步：登录小红书（必须） ```bash 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： ```json { "mcpServers": { "rednote-analyzer-mcp": { "command": "uvx", "args": ["rednote-analyzer-mcp"], "env": { "REDNOTE_ADAPTER": "playwright", "REDNOTE_HEADLESS": "true" } } } } ``` 或者用命令添加： ```bash # 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` ```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）： ```json { "mcpServers": { …
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