PyMCP Sum Server
A simple MCP server that provides integer addition functionality. Enables users to perform basic arithmetic operations by adding two integers together through natural language interactions.
README
pymcp
a MCP server
SDK
https://github.com/modelcontextprotocol/python-sdk
项目结构
src/
└── mcp_server/
├── __init__.py
└── sum_int.py # MCP服务器实现，提供两个整数相加功能
tests/
├── test_sum_int.py # 基础功能测试
├── test_sum_int_with_real_llm.py # 真实LLM调用测试
└── test_sum_int_with_agent.py # 使用LangChain Agent的测试
环境初始化
安装依赖
使用 uv 管理依赖：
# 安装生产依赖
uv pip install -e .
# 安装测试依赖（包括生产依赖）
uv pip install -e .[test]
配置环境变量
创建 .env 文件并配置LLM相关参数：
cp .env.example .env
编辑 .env 文件，添加以下内容：
LLM_BASE_URL=https://api.siliconflow.cn/v1
LLM_API_KEY=your_api_key_here
LLM_MODEL=Qwen/Qwen3-8B
运行MCP服务器
# 运行MCP服务器
uv run mcp dev src/mcp_server/sum_int.py
或者直接运行：
python src/mcp_server/sum_int.py
真实LLM调用测试
python tests/test_sum_int_with_real_llm.py
使用LangChain Agent的测试
python tests/test_sum_int_with_agent.py
依赖说明
生产依赖：
mcp[cli]>=1.12.4- MCP Python SDK
测试依赖：
openai>=1.99.9- OpenAI Python客户端python-dotenv>=1.0.1- 环境变量加载工具httpx[socks]>=0.28.1- HTTP客户端（支持SOCKS代理）langchain>=0.3.27- LangChain核心库langchain-openai>=0.3.29- LangChain的OpenAI集成langchain-mcp-adapters>=0.1.9- LangChain与MCP的适配器langgraph>=0.6.4- LangGraph库，用于构建agent工作流
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