A powerful backend service supporting file management, MongoDB integration, external API calls, and vector database operations, designed for seamless Model Context Protocol (MCP) integration with large language models and featuring full Docker deployment and client examples.
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MCP(多功能计算平台)服务器是一个功能强大的后端服务,支持文件访问、数据库连接、API集成和向量数据库访问等多种功能。本项目专为与通义千问(Qwen)等大型语言模型集成而设计,提供了完整的Docker部署配置和通义千问调用示例。
mcp_server/
├── src/ # 源代码目录
│ ├── __init__.py # 初始化模块
│ ├── config.py # 配置管理
│ ├── server.py # 服务器主类
│ └── modules/ # 功能模块
│ ├── __init__.py # 模块注册
│ ├── file_module.py # 文件访问模块
│ ├── database_module.py # 数据库连接模块
│ ├── api_module.py # API集成模块
│ └── vector_module.py # 向量数据库模块
├── docker/ # Docker配置
│ ├── Dockerfile # Docker镜像配置
│ └── docker-compose.yml # Docker Compose配置
├── examples/ # 示例代码
│ ├── qwen_client.py # 通义千问客户端库
│ └── qwen_example.py # 通义千问使用示例
├── docs/ # 文档
│ ├── user_guide.md # 用户指南
│ ├── api_docs.md # API文档
│ └── qwen_examples.md # 通义千问示例说明
├── test_server.py # 服务器测试脚本
├── test_qwen_client.py # 通义千问客户端测试脚本
├── main.py # 主入口文件
└── requirements.txt # 依赖列表
git clone https://github.com/ningwenjie/mcp_server cd mcp_server
docker-compose -f docker/docker-compose.yml up -d
curl http://localhost:8000/health
from examples.qwen_client import QwenMCPClient # 初始化客户端 client = QwenMCPClient("http://localhost:8000") # 上传文件 file_info = client.upload_file("example.txt") # 存储向量 vector = [0.1, 0.2, 0.3] * 512 # 1536维向量 metadata = {"text": "这是一个示例文本", "source": "通义千问"} vector_info = client.store_vector("qwen_embeddings", vector, metadata) # 搜索向量 query_vector = [0.15, 0.25, 0.35] * 512 search_results = client.search_vector("qwen_embeddings", query_vector, top_k=3)
详细文档请参阅:
运行服务器测试:
python test_server.py
运行通义千问客户端测试:
python test_qwen_client.py
详细依赖列表请参阅 requirements.txt
。
MIT License
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