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aigroup-openai-mcp

v1.0.6

Published

MCP server for AI group OpenAI integration

Readme

aigroup-openai-mcp

一个基于Model Context Protocol (MCP)的AI分析工具集,集成三个专业的大语言模型分析工具。

功能特性

三个专业AI分析工具

  1. Enterprise Insight Pro - 专业企业分析工具

    • 🔍 工商企业信息查询与数据库检索
    • 📊 企业业务情况深度分析
    • ⚖️ 司法风险评估与分析
    • 💼 股东资本变动追踪
    • 🏢 企业整体综合评估
    • 📄 支持Word文档输出
  2. FinWise Sprite - 财经洞察精灵

    • 📈 专业财经资讯收集与分析
    • 💰 投资价值评估分析
    • 🌐 金融市场动态追踪
    • 📊 数据驱动的投资建议
  3. ProfitPulse - 财报洞察精灵

    • 📑 财务报表深度分析
    • 📊 近三年上市企业年报分析
    • 🔍 财务数据背后信息洞察
    • 📈 可视化图表展示
    • 🔗 企业客户信息联动分析

安装

全局安装(推荐)

npm install -g aigroup-openai-mcp

本地安装

npm install aigroup-openai-mcp

使用方法

作为MCP服务器运行

# 全局安装后
aigroup-openai-mcp

# 或者使用npx
npx -y aigroup-openai-mcp

在MCP客户端中使用

在你的MCP配置文件中添加:

{
  "mcpServers": {
    "aigroup-openai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "aigroup-openai-mcp"
      ]
    }
  }
}

工具详情

Enterprise Insight Pro

用途:企业工商信息查询、业务分析、司法风险评估 输入参数

  • company_name (必需): 需要分析的企业名称
  • focus_dimensions (可选): 重点关注的维度方向,如:基本信息、业务情况、司法信息、股东资本、整体评估等
  • require_word_output (可选): 是否需要提供Word文档输出链接

示例调用

{
  "company_name": "寒武纪科技有限公司",
  "focus_dimensions": ["基本信息", "业务情况", "整体评估"],
  "require_word_output": true
}

FinWise Sprite

用途:财经资讯收集、投资价值分析 输入参数

  • finance_domain (必需): 财经领域方向,如:股票、基金、宏观经济、债券、期货等
  • analysis_target (可选): 需要分析的具体项目名称
  • require_investment_analysis (可选): 是否需要投资价值分析

示例调用

{
  "finance_domain": "黄金资讯分析",
  "analysis_target": "000001",
  "require_investment_analysis": true
}

ProfitPulse

用途:财务报表分析、财报洞察 输入参数

  • financial_statement (必需): 财务报表内容或相关数据
  • analysis_depth (可选): 分析深度要求,如:基础分析、深度分析、全面分析
  • require_customer_insight (可选): 是否需要联动企业客户信息进行佐证分析
  • require_visualization (可选): 是否需要可视化图表展示

示例调用

{
  "financial_statement": "上市公司寒武纪科技有限公司2023年财报:资产总额:50亿,负债率:35%,净利润:...",
  "analysis_depth": "深度分析",
  "require_customer_insight": true,
  "require_visualization": true
}

系统架构

  • 基于MCP协议:采用Model Context Protocol标准,支持与各种AI客户端集成
  • 多模型支持:集成多个专业大语言模型,每个工具使用专门优化的模型
  • OpenAI兼容API:支持标准OpenAI API格式,便于部署和扩展

开发

构建项目

npm run build

开发模式

npm run dev

直接运行

npm start

技术栈

  • TypeScript - 类型安全开发
  • MCP SDK - Model Context Protocol支持
  • Axios - HTTP客户端
  • tsup - 快速打包工具
  • Node.js - 运行时环境

配置

系统通过环境变量或配置文件进行API配置:

  • OPENAI_API_BASE_URL: OpenAI兼容API基础URL
  • OPENAI_API_KEY: API密钥

许可证

ISC License

贡献

欢迎提交Issue和Pull Request来改进这些AI分析工具!

备注

所有三个工具均由专业领域的大语言模型驱动,能够提供高质量的商业智能分析服务。