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Kong AI Gateway

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Kong AI Gateway centralizes governance for LLM, MCP, and agent-to-agent traffic with security, observability, routing, and cost controls.

Kong AI Gateway

Overview

Kong AI Gateway is a gateway for governing AI traffic across large language models, MCP resources, and agent-to-agent workflows. The product pages describe it as part of Kong’s broader AI connectivity platform, where API traffic, AI traffic, and real-time data are managed from one platform.

Its core job is to centralize security, routing, observability, and cost control for AI requests. The source highlights capabilities such as semantic caching, token-based rate limiting, prompt and PII protections, quota management, and telemetry for AI usage and spend.

Core capabilities

Unified AI traffic control

Govern LLM, MCP, and agent-to-agent traffic through a single gateway so API and AI traffic can be managed together.

Layered security and policy enforcement

Apply PII sanitization, semantic prompt guards, access control, routing, and load balancing to AI requests.

AI observability and telemetry

Track token usage, AI consumption, tool usage, latency, errors, and cost with AI observability and metrics.

Cost and quota controls

Use semantic caching, token-based rate limiting, and quota management to control consumption and reduce unnecessary spend.

MCP governance

Generate and govern MCP servers and proxies, including auth for MCP access and context optimization.

Agent-to-agent governance

Manage multi-agent traffic with centralized AuthN/Z, auditability, and detailed telemetry on A2A calls.

Practical use cases

  • Control LLM access across teams

    Centralize governance for applications and agents that call multiple LLMs, so access, routing, and usage policies are enforced in one place.

  • Operationalize MCP workflows

    Put MCP-backed agent workflows into production with server generation, auth enforcement, and context optimization.

  • Govern multi-agent traffic

    Track and manage agent-to-agent communication with telemetry, auditability, and centralized authorization for multi-agent systems.

  • Manage token usage and cost

    Reduce AI spend by applying semantic caching, rate limits, quotas, and cost analytics to token-heavy workloads.

  • Protect sensitive AI traffic

    Apply PII sanitization, prompt guards, and observability to AI requests that handle sensitive or regulated data.

Pros and Cons

Pros

  • Consolidates LLM, MCP, and agent-to-agent governance into one gateway.
  • Includes security controls such as PII sanitization, access control, and semantic prompt guards.
  • Adds cost-management features like semantic caching, token-based rate limiting, and quotas.
  • Provides AI-specific observability with token-level tracking and real-time cost analytics.
  • Fits into Kong’s wider platform that also covers APIs, events, and developer workflows.

Cons

  • The pricing page shows some AI Gateway capabilities only as paid plugins or enterprise plugins, so not every capability is included in the base trial or lower-tier packaging.
  • The source pages do not provide a full public inventory of supported models, deployment environments, or external integrations.

FAQ

What does Kong AI Gateway do?

Kong AI Gateway governs LLM, MCP, and agent-to-agent traffic through a single gateway. The source pages describe centralized access control, routing, observability, token controls, semantic caching, and guardrails for AI traffic.

Is there a free trial or paid plan?

The pricing page shows a free trial for Kong Konnect, a Plus plan billed per Gateway per month, and an Enterprise plan with custom annual pricing. AI Gateway capabilities such as paid plugins are included in Plus and Enterprise packaging details shown on the pricing page.

Who is Kong AI Gateway for?

The product pages describe AI traffic governance for developers and platform teams working with LLMs, MCP resources, and multi-agent systems. Kong positions the gateway for production AI infrastructure rather than consumer chat use.

What kinds of AI workflows does it support?

The source highlights centralized security, routing, observability, quota management, and cost controls. It also describes support for LLMs, MCP servers, and A2A traffic, but does not provide a complete public list of every supported model or deployment option on these pages.

Quick Facts

Category
AI gateway / API management
Platform
Kong Konnect platform
Primary users
Platform engineering, API teams, and AI application teams
Domain
konghq.com
Pricing signal
Free trial available; Plus and Enterprise packaging listed