The New Stack Podcast How Agentgateway Solves Agentic AI’s Connectivity Challenges
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Oct 3, 2025 Lin Sun, Head of Open Source at Solo.io, dives into the challenges of secure connectivity in the agentic AI landscape. She explains how Agentgateway enhances communication governance between AI agents and tools, contrasting it with traditional API gateways. Lin highlights the integration of protocols like MCP and A2A, and how it provides fine-grained access control for tool exposure. Major tech players like AWS and Microsoft are already involved, and she discusses the framework-agnostic benefits of combining Agentgateway with Kagent for a resilient AI ecosystem.
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Agentgateway Bridges Agentic Connectivity
- Agentgateway provides security, governance, and observability for agent-agent, agent-tool, and agent-model traffic.
- It natively understands MCP and A2A while also supporting traditional microservices and Kubernetes Gateway API.
Control Tool Exposure Through A Gateway
- Use a gateway to enforce fine-grained policies and resilience between agents and MCP servers instead of exposing everything directly.
- Limit which MCP tools each agent can access to expose only tested or approved capabilities.
Agent Protocols Need More Than API Gateways
- MCP and A2A protocols are context-sensitive and differ from typical HTTP API patterns like path-based routing.
- Agentgateway combines API-gateway features with agent-aware protocol handling to address those differences.