What are the runtime dependencies?
Requires Python 3.12+, pip 23.x+, and access to Nutanix Prism Central APIs v4.0.2 (clusters) and v4.0 (VMs).
@takanorisuzuki
基本信息
Nutanix Prism Central と連携してクラスタ・仮想マシン情報を取得する MCP (Model Context Protocol) サーバーの FastAPI 実装
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"nutanix-mcp-server-jp": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A FastAPI implementation of a Model Context Protocol (MCP) server that integrates with Nutanix Prism Central to retrieve cluster and virtual machine information. It is an MVP prototype and not intended for production use.
Clone the repository, create a Python virtual environment (3.12+), install dependencies, copy .env.example to .env, and configure Prism Central credentials. Start the server with uvicorn app:app --reload. Access endpoints /clusters and /vms via HTTP. For Dify integration, import the provided dify-openapi-schema.json as a custom tool.
.env.Requires Python 3.12+, pip 23.x+, and access to Nutanix Prism Central APIs v4.0.2 (clusters) and v4.0 (VMs).
Currently SSL verification is disabled (`verify=False`) to support self-signed certificates. Set `VERIFY_SSL="false"` in `.env`; production environments should enable proper verification.
No. This is an MVP prototype intended for evaluation and development, not for production use. Future enhancements for security and reliability are planned.
Use the provided `dify-openapi-schema.json` file to create a custom tool in Dify. Then assign the tool to an agent, and ask questions like “Show me cluster information” in natural language.
Two endpoints: `/clusters` returns basic cluster information; `/vms` returns basic VM information (name, vCPU, memory). Both are accessible via Swagger UI at `/docs`.
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