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
基本情報
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
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"nutanix-mcp-server-jp": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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