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Nutanix Agent Gateway

by Nutanix

Governance & SecurityAI Agents & OrchestrationInfrastructure & CloudDeveloper Tools

A unified control plane to govern AI agent traffic, cost, and access across the enterprise

Contact for pricing·Added July 14, 2026·Updated July 14, 2026
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THE DAILY BRIEF
Nutanix Agent Gateway

by Nutanix

Governance & SecurityAI Agents & OrchestrationInfrastructure & CloudDeveloper Tools

A unified control plane to govern AI agent traffic, cost, and access across the enterprise

Contact for pricing

Nutanix Agent Gateway is a centralized control plane that governs how AI agents access LLMs and Model Context Protocol (MCP) tools, with token observability, access policies, audit logging, and a unified API for external and self-hosted models. It targets IT and platform teams trying to tame agent sprawl and AI cost.

At a Glance

Category
Governance & Security
Pricing
Contact for pricing
Target Market
CIOs, CTOs, CFOs, Platform Engineers

Key Features

  • Token observability
  • MCP access control
  • Audit logs
  • Unified model API
  • Token-based rate limiting
  • Model routing

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Rein in agent sprawl
  • AI cost governance
  • Compliant model access

Ideal For

Best For

  • Centralized governance of AI agent and LLM traffic
  • Attributing and controlling AI token cost
  • Securing agent access to MCP tools and data

Market Analysis

Enterprise-gradeCost-control-focused

Pros

  • Single control point for agent, LLM, and MCP traffic
  • Strong cost-attribution and token-governance story
  • Deploys on existing cloud or Kubernetes infrastructure

Cons

  • MCP-server governance features still in Tech Preview
  • Pricing not publicly disclosed

Pricing

Nutanix Enterprise AI

Contact for pricing

  • Delivered with Nutanix Enterprise AI 2.7
  • Token observability and rate limiting
  • MCP governance and audit logs
  • Unified model API

Delivered as part of Nutanix Enterprise AI 2.7; pricing is not publicly disclosed.

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Nutanix Agent Gateway is a centralized control plane that governs how AI agents access LLMs and Model Context Protocol (MCP) tools, with token observability, access policies, audit logging, and a unified API for external and self-hosted models. It targets IT and platform teams trying to tame agent sprawl and AI cost.

At a Glance

Category
Governance & Security
Pricing
Contact for pricing
Target Market
CIOs, CTOs, CFOs, Platform Engineers

Key Features

  • Token observability

    Centralizes visibility into token usage, MCP server access, and LLM activity across multiple model vendors.

  • MCP access control

    Granular policies let agents securely connect to business tools and data via Model Context Protocol servers.

  • Audit logs

    Comprehensive records of every MCP and model request for compliance and traceability.

  • Unified model API

    A single interface for accessing both external provider models and self-hosted models.

  • Token-based rate limiting

    Real-time enforcement of quotas and cost controls across agents and teams.

  • Model routing

    Routes requests to appropriately sized models based on use-case complexity to control spend.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Rein in agent sprawl

    Give platform teams one control point over which agents can use which models and tools.

  • AI cost governance

    Attribute token spend by user, workload, and team and enforce quotas to prevent runaway costs.

  • Compliant model access

    Log and audit every model and MCP request for security and compliance.

Ideal For

Best For

  • Centralized governance of AI agent and LLM traffic
  • Attributing and controlling AI token cost
  • Securing agent access to MCP tools and data

Deployment

On-Premise

Market Analysis

Enterprise-gradeCost-control-focused

Pros

  • Single control point for agent, LLM, and MCP traffic
  • Strong cost-attribution and token-governance story
  • Deploys on existing cloud or Kubernetes infrastructure

Cons

  • MCP-server governance features still in Tech Preview
  • Pricing not publicly disclosed

Pricing

Nutanix Enterprise AI

Contact for pricing

  • Delivered with Nutanix Enterprise AI 2.7
  • Token observability and rate limiting
  • MCP governance and audit logs
  • Unified model API

Delivered as part of Nutanix Enterprise AI 2.7; pricing is not publicly disclosed.

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