A trust and control layer for proxying traffic to MCP servers

Gain control and visibility over AI agent infrastructure with AI Gateway-driven MCP capabilities

Bring MCP servers to production securely with Kong AI Gateway

AI agents are rapidly becoming core components of modern software, driving the need for structured, reliable interfaces to access tools and data. The Model Context Protocol (MCP) addresses this by enabling agents to reason, plan, and act across services. However, scaling MCP in remote, distributed environments introduces new operational challenges.

Kong AI Gateway enables teams to manage remote MCP traffic with enterprise-grade security, performance, authentication, context propagation, load balancing, and observability.

Learn how to:

Overview of AI gateway

Autogenerate MCP servers using Kong AI Gateway

Kong AI Gateway lets you create and manage MCP servers without writing custom code. Transform any API into an MCP server, apply security and governance controls, and integrate them with AI assistants.

Autogenerate MCP servers using AI MCP Proxy

Turn any API into an MCP server using the AI MCP Proxy plugin. This approach does not require an LLM and provides full control over production workloads.

The AI MCP Proxy plugin:

  • Converts API schemas into MCP-compatible tool definitions.
  • Aggregates multiple APIs into a single MCP server endpoint.
  • Supports serverless deployments for dynamic tool generation.
  • Integrates with AI assistants like Claude Desktop and other MCP clients.

Apply security, governance, and observability controls to MCP servers

Use available Kong Gateway plugins to:

Autogenerate MCP tools from any API using AI MCP plugins

Explore guides to auto-generate MCP servers and tools without custom code.

Secure and govern your MCP traffic

Apply security, governance, and observability to MCP servers that route LLM requests through AI Proxy plugins.

Kong also provides a built-in MCP server that connects directly to your Kong Konnect Control Planes. It offers read-only tools for analytics, configuration inspection, and Control Plane metadata. This is ideal for AI-driven workflows with Claude or other compatible assistants.

With Kong Konnect MCP server, you can use natural language to:

  • Query API traffic across gateways with filters and time windows.
  • List and inspect Services, Routes, Consumers, and plugins.
  • Explore Control Plane hierarchies and group relationships.
  • Build and test workflows without a production setup.

MCP traffic observability

Kong AI Gateway records detailed Model Context Protocol (MCP) traffic data so you can analyze how requests are processed and resolved.

  • Logs capture session IDs, JSON-RPC method calls, payloads, latencies, and errors.
  • Metrics track latency, response sizes, and error counts over time, giving you a complete view of MCP server performance and behavior.
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