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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

A Model Context Protocol server for Nutanix Virtual Machine Management APIs, enabling users to manage VMs, images, alerts, and logs via natural language through a CLI chatbot or any MCP client.

README.md

Nutanix MCP Server

A Model Context Protocol (MCP) server for Nutanix Virtual Machine Management APIs with a command-line chatbot interface.

Features

  • Nutanix v4 API client integration - Add a v4 APi client and create tools for your MCP server
  • LLM Provider Flexibility: Works with any Nutanix AI (NAI) LLM endpoint that follows OpenAI API standards (tested with llama-3-1-8b)
  • Dynamic Tool Integration: Tools are declared in the system prompt, ensuring maximum compatibility across different LLMs.
  • Server Configuration: Supports multiple MCP servers through a simple JSON configuration file like the Claude Desktop App.

Prerequisites

  • Python 3.8 or higher
  • Nutanix Prism Central credentials or API key
  • cluster UUID of PE cluster

Setup

  1. Clone this repository:
git clone https://github.com/savrab/nutanix-mcp.git
cd nutanix-mcp
  1. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Configure environment variables:
  • Copy .env.example to .env
  • Fill in your Nutanix credentials in .env
  • Add your NAI API key: NAI_API_KEY=your_api_key_here
  1. Configure MCP servers:
  • Update servers_config.json with your server configuration
  • Example configuration:
   {
       "mcpServers": {
           "nutanix mcp server": {
               "command": "/path/to/python",
               "args": ["/path/to/nutanix_mcp_server.py"]
           }
       }
   }

Running the Application

Option 1: Run MCP Server Inspector to test your tools. Learn more about MCP inspector in this tutorial - https://modelcontextprotocol.io/docs/tools/inspector

  1. Start the MCP server:
mcp dev nutanix_mcp_server.py

Option 2: After confirming your tools are running fine, you can start the chatbot or directly start the chatbot to use existing tools:

python mcp_chatbot.py

Using the Chatbot

  1. Initialization:
  • The chatbot will automatically initialize the MCP server
  • Available tools will be listed
  • System messages will be displayed
  1. Chatting:
  • Type your message and press Enter
  • The chatbot will process your request
  • Tool execution progress will be shown
  • Results will be displayed in the terminal
  1. Tool Usage:
  • Tools are automatically selected based on your request
  • Progress tracking is available for long-running operations
  • Error handling and retries are built-in
  1. Exiting:
  • Type 'quit' or 'exit' to end the session
  • The chatbot will clean up resources properly

Currently Available MCP Tools

List Images

Lists all images available in the Nutanix cluster.

Create Image

Creates a new image in the Nutanix cluster.

Create VM

Creates an new VM based on the provided specs

Collect logs

Collects log for given time period and uploads it diamond server

Get Alerts

List the top 10 alerts on the PC

Environment Variables

Required environment variables:

  • NUTANIX_USERNAME: Your Nutanix username
  • NUTANIX_PASSWORD: Your Nutanix password
  • NUTANIX_PRISM_CENTRAL_URL: URL of your Prism Central instance
  • NAI_API_KEY: Your Nutanix AI API key
  • CLUSTER_UUID: Your PE cluster UUID

Troubleshooting

  1. Server Connection Issues:
  • Verify server configuration in servers_config.json
  • Check environment variables
  1. Tool Execution Errors:
  • Verify that the tools are working fine using MCP inspector
  • Review execution logs
  1. API Errors:
  • Verify API keys
  • Check the LLM endpoint on ai.nutanix.com

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