Assistente Empresarial MCP Server
销售与库存业务助手
智能命令行(CLI)虚拟助手,旨在帮助查询和分析服装店的商业信息、库存和销售数据。该系统使用模型上下文协议(MCP)配合 FastMCP 库和 LangChain 框架,将本地 Excel 电子表格数据与外部资源(如网络搜索和实时货币汇率)集成。
工作原理
该项目通过模型上下文协议(MCP)连接两个主要部分:
MCP 服务器(
server.py):集中业务工具,对 Excel 电子表格执行读取和聚合操作,并查询外部 API。客户端/代理(
agente.py):通过子进程(stdio)初始化 MCP 服务器,将工具暴露给 LLM(OpenAI 的gpt-4o-mini),并管理助手的推理流程。
通信流程
Usuário (CLI) <──> main.py
│
▼
agente.py (Agente LangChain / GPT-4o-Mini)
│
(Comunicação via MCP - stdio)
│
▼
server.py (Servidor FastMCP)
┌────────────┼────────────┐
▼ ▼ ▼
Planilha Excel Tavily API Frankfurter API
(estoque_vendas) (Busca Web) (Cotação de Moedas)Related MCP server: mcp-data-lens
功能
该助手可以访问本地和外部工具,以自然语言回答问题:
业务工具(本地数据)
consulta_estoque:返回完整的产品列表和当前计算库存(购买数量 - 销售数量)。estoque_baixo:列出计算库存等于或低于 15 件的产品。consulta_faturamento:计算并返回累计总营收(销售价格 × 销售数量)。produto_mais_vendido:识别并详细说明销量最高的产品。vendas_por_cor:按产品颜色分组并显示销售总额。vendas_por_marca:按产品品牌分组并显示销售总额。
实用工具(外部 API)
pesquisa_web:通过 Tavily API 进行互联网搜索,以回答有关外部或最新数据的问题。consultar_cotacao:使用 Frankfurter API 获取两种货币之间的实时汇率。
项目结构
Assistente_empresarial_v1/
├── .env.example # Modelo das variáveis de ambiente necessárias
├── .gitignore # Arquivos ignorados pelo Git
├── agente.py # Inicialização do agente e conexão com o cliente MCP
├── estoque_vendas.xlsx # Planilha de dados (fonte de dados de estoque e vendas)
├── main.py # Ponto de entrada da aplicação (loop interativo da CLI)
├── requirements.txt # Lista de dependências do Python
└── server.py # Definição das ferramentas e inicialização do servidor FastMCP前提条件
Python 3.10 或更高版本
OpenAI API 密钥(用于 LLM 模型)
Tavily API 密钥(用于互联网搜索)
安装与配置
1. 克隆或导航到仓库
导航到项目目录:
cd Assistente_empresarial_v12. 创建并激活虚拟环境(推荐)
python -m venv venv在 Windows(PowerShell)中激活:
.\venv\Scripts\Activate.ps1在 Linux/macOS 中激活:
source venv/bin/activate3. 安装依赖
pip install -r requirements.txt4. 配置环境变量
在项目根目录中,基于 .env.example 创建一个 .env 文件:
copy .env.example .env打开 .env 文件并输入你的 OpenAI 和 Tavily 凭据:
OPENAI_API_KEY=sua_chave_da_openai_aqui
TAVILY_API_KEY=sua_chave_da_tavily_aqui如何运行
在虚拟环境已激活且变量已配置的情况下,运行应用程序的入口点:
python main.py助手将启动交互式终端。你将看到输入提示:
Bem_vindo ao Assistente Empresarial
Digite 'sair' caso queira sair
oque temos para hoje: 问题示例
你可以询问类似以下内容:
"哪些产品库存不足?"
"公司的总营收是多少?"
"最畅销的品牌是哪个?"
"今天美元兑雷亚尔的汇率是多少?"
"哪种颜色卖得最好?"
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