MCP-EXP
Experimental MCP server that integrates OpenAI and Serper APIs for news search, sentiment analysis, and email delivery.
README
MCP-EXP 项目
项目简介
MCP-EXP 是一个基于 MCP (Model Context Protocol) 框架的实验项目，集成了 OpenAI API 和 Serper API，用于实现热点新闻搜索、情感分析以及邮件发送等功能。
功能特点
- 热点新闻搜索：通过 Serper API 搜索指定关键词的最新新闻
- 情感分析：利用 OpenAI API 对新闻内容进行情感分析
- 邮件发送：自动将分析结果发送到指定邮箱
- 客户端-服务器架构：基于 MCP 框架实现异步通信
快速开始
环境要求
- Python 3.10 或更高版本
- uv 包管理器（推荐）或 pip
安装步骤
-
克隆仓库
git clone https://github.com/HugoWw/MCP-EXP.git cd mcp-exp -
安装依赖
使用 uv（推荐）：
uv sync或使用 pip：
pip install -e . -
配置环境变量
创建 .env 文件并添加以下配置：
# OpenAI API 配置 OPENAI_API_KEY=your_openai_api_key BASE_URL=your_api_base_url MODEL=your_model_name # Serper API 配置（用于谷歌新闻搜索） SERPER_API_KEY=your_serper_api_key # 邮件配置（用于发送结果） EMAIL_HOST=smtp.example.com EMAIL_PORT=465 EMAIL_USER=your_email@example.com EMAIL_PASSWORD=your_email_password
运行项目
python client.py
启动脚本后根据提示输入内容，比如：
分析下小米yu7的热点新闻，并发送邮件给xxx@example.com
使用示例
新闻搜索与分析流程
- 客户端连接到服务器
- 调用新闻搜索工具获取热点新闻
- 对新闻进行情感分析
- 生成分析报告并保存
- 发送分析报告到指定邮箱
主要工具接口
项目提供了以下主要工具接口（可在 MCP 交互中使用）：
search_google_news：搜索指定关键词的新闻analyze_sentiment：分析新闻的情感倾向send_email：发送邮件
生成的结果
生成的报告会存放到sentiment_reports目录下，如：该工程生成的示例报告
注意事项
根据实际项目情况修改和调整内容，（如 OpenAI API 密钥、Base URL、 SERPER_API_KEY等）为实际值。 SERPER_API_KEY可到Serper官网注册账户获取，邮箱的话可以去163去获取，模型可以去阿里的百练平台获取。
许可证
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