Skip to content
Nutanix V4 API MCP Server

Nutanix V4 API MCP Server

by Nutanix
Released
v0.8
Apache-2.0
Repository Docs
Featured Cloud & Infrastructure

Summary

Nutanix's official open-source MCP server: 1,000+ Prism Central V4 API operations across 19 namespaces, read-only by default and audit-logged.

Features

  • 1,000+ Prism Central V4 API operations across 19 namespaces
  • One `<namespace>_execute` tool per namespace instead of per-endpoint tool sprawl
  • Schemas resolved from your own Prism Central version, not a generic spec
  • Read-only by default, with every call audit-logged
  • Inherits Prism V4 API Gateway RBAC and rate limiting
  • Air-gapped deployment supported; stdio transport, Python 3.11+

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it, filling in the environment variables with your own values.
  3. Restart the agent — the "Nutanix V4 API MCP Server" tools will be available.
{
  "mcpServers": {
    "nutanix-mcp-server": {
      "command": "nutanix-mcp",
      "args": [
        "serve"
      ],
      "env": {
        "NUTANIX_PC_ENDPOINT": "https://prism-central.example.com:9440",
        "NUTANIX_USERNAME": "your-user",
        "NUTANIX_PASSWORD": "your-password"
      }
    }
  }
}

Description

Nutanix's official Model Context Protocol server exposes the Prism Central V4 REST APIs — Nutanix's modern management plane for multi-cluster infrastructure — as tools an AI assistant can call in natural language. Announced on 10 August 2026, it lets Claude, Cursor, GitHub Copilot and any other MCP client run hybrid-cloud operations without a human hand-translating intent into API payloads.

The architecture is the interesting part. Rather than shipping one tool per endpoint and flooding the model's context, the server registers a single <namespace>_execute tool per API namespace — 19 of them, covering vmm (VM lifecycle), clustermgmt, networking (AHV, BGP, vSwitch, VPC, subnets), storage, volumes, iam, microseg (network security policy), dataprotection, datapolicies, lifecycle (firmware and software upgrades), monitoring, security, files, objects, licensing, prism, aiops, opsmgmt and multidomain. Together they reach over 1,000 V4 operations.

Schemas are resolved from your own cluster, not from a generic latest spec: nutanix-mcp init queries the connected Prism Central, discovers which namespaces that PC version actually exposes, and registers only those tools. An agent asking about a capability your deployment does not have simply will not find it.

Governance is the reason this exists in vendor-supported form. All traffic routes through the existing Prism V4 API Gateway, so agent activity inherits the same role-based access control, audit logging and rate limiting that already govern human and scripted access. The server is read-only by default, every call is audit-logged, and air-gapped deployments are supported.

It runs over stdio transport and requires Python 3.11 or later. Version 0.8 is a Technical Preview and Nutanix explicitly does not support it for production use — treat it as an evaluation tool for now. Apache-2.0 licensed.

Related MCP Servers

MCP: AWS MCP Server

by Amazon Web Services

Featured

AWS's managed MCP server: call any AWS API, run sandboxed Python against your account, and load AWS agent skills on demand — under IAM, CloudWatch and CloudTrail.

Cloud & Infrastructure

MCP: gcloud MCP Server

by Google

Featured

Google's official MCP server for driving the gcloud CLI from natural language, with allowlist and denylist controls over which commands an agent may run.

Cloud & Infrastructure
2 views
Browse all MCP servers →