proerror77
MCP Serverproerror77public

xhs_mcp_agent

XHS MCP Agent - A MCP server implementation

Repository Info

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Python
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-
License

About This Server

XHS MCP Agent - A MCP server implementation

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Xiaohongshu API MCP Server | 小红书 API 微服务

这是一个将小红书 API 封装成 RESTful API 服务器的微服务。可以使用 Docker 进行部署。

功能特点

  • RESTful API for Xiaohongshu operations | 小红书操作的 RESTful API
  • Multiple client support | 支持多客户端
  • Docker containerization | Docker 容器化
  • Easy to deploy and scale | 易于部署和扩展

API 端点

服务器提供以下端点:

  • /clients - 创建和管理小红书客户端实例
  • /clients/{client_id}/note - 通过 ID 获取笔记
  • /clients/{client_id}/note/html - 从 HTML 通过 ID 获取笔记
  • /clients/{client_id}/search/notes - 通过关键词搜索笔记
  • /clients/{client_id}/search/users - 通过关键词搜索用户
  • /clients/{client_id}/user/info - 通过 ID 获取用户信息
  • /clients/{client_id}/user/notes - 获取用户笔记
  • /clients/{client_id}/feed/categories - 获取推荐流分类
  • /clients/{client_id}/feed/{feed_type} - 通过类型获取推荐流
  • /health - 健康检查端点

项目结构

.
├── xhs_mcp_server/     # 主服务器目录
│   ├── app/           # 应用程序核心
│   ├── xhs/          # 小红书API模块
│   ├── Dockerfile    # Docker构建文件
│   └── requirements.txt # Python依赖
└── xhs_api.py        # API实现

快速开始

前提条件

  • Docker
  • Docker Compose

安装和运行

  1. 构建并启动 Docker 容器:
cd xhs_mcp_server
docker-compose up -d

服务将在 http://localhost:8000 运行。

  1. 通过Python直接运行:
pip install -r xhs_mcp_server/requirements.txt
python xhs_api.py

API 文档

服务器运行后,您可以在以下位置访问 API 文档:

  • Swagger UI: http://localhost:8000/docs
  • ReDoc: http://localhost:8000/redoc

使用示例

  1. 创建客户端:
curl -X POST "http://localhost:8000/clients" \
  -H "Content-Type: application/json" \
  -d '{"cookie": "your_cookie_here"}'
  1. 通过 ID 获取笔记:
curl -X POST "http://localhost:8000/clients/client_1/note" \
  -H "Content-Type: application/json" \
  -d '{"note_id": "your_note_id", "xsec_token": "your_xsec_token"}'

许可证

本项目仅用于教育目的。使用风险自负。

Quick Start

1

Clone the repository

git clone https://github.com/proerror77/xhs_mcp_agent
2

Install dependencies

cd xhs_mcp_agent
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerproerror77
Repoxhs_mcp_agent
LanguagePython
License-
Last fetched8/10/2025

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