AGNTCon + MCPCon Europe 2026

As AI agents move into production, engineering teams face a growing set of challenges. How do you secure and govern MCP servers without modifying them? Route and fail over across multiple LLM providers? Enforce rate limits, access controls, and governance policies? Observe agent traffic, and scale operations across environments?

Rather than embedding these capabilities into every agent, MCP server, and application, organizations can adopt a single architectural pattern: the agent gateway.

An agent gateway acts as a unified control plane for AI systems. It can function as an MCP gateway, LLM gateway, inference gateway, and traditional API gateway, centralizing security, observability, routing, resilience, and policy enforcement across agents, tools, models, and services.

In this hands-on workshop, you'll learn how to secure and federate MCP servers without code changes, route and fail over LLM traffic across providers, enforce authentication and usage policies, and gain end-to-end visibility into agent interactions. Through practical exercises, you'll see how a single gateway layer simplifies operations while enabling secure, scalable, and governable AI systems.