MCP服务器需要什么运行环境?
需要Python 3.10+及FastAPI、Uvicorn、PyMongo、FAISS等依赖,推荐使用Docker部署。
@ningwenjie
Basic information
mcp_server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-ningwenjie": {
"command": "python",
"args": [
"test_server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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,专为与通义千问(Qwen)等大型语言模型集成而设计。
使用Docker Compose一键启动服务(docker-compose -f docker/docker-compose.yml up -d),然后通过提供的通义千问客户端库(examples/qwen_client.py)调用其API,例如上传文件、存储和搜索向量。
需要Python 3.10+及FastAPI、Uvicorn、PyMongo、FAISS等依赖,推荐使用Docker部署。
项目提供了`QwenMCPClient`类,支持文件上传、向量存储和向量搜索等操作,可直接在Python代码中调用。
是,集成了MongoDB,支持文档的增删改查操作。
是,使用FAISS进行向量存储和相似度搜索,可指定返回最相似的top_k结果。
项目包含`test_server.py`和`test_qwen_client.py`测试脚本,可直接运行验证服务是否正常。

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