Agentgateway Blog
Solo.io Contributes agentgateway to Linux Foundation to Make AI Agents More Accessible, Capable, and Secure
Today at Open Source Summit Europe, the Linux Foundation accepted agentgateway, a new open source AI-native project created by Solo.io. Agentgateway provides drop-in security, observability, and governance for agent-to-agent and agent-to-tool communication and supports leading interoperable protocols, including Agent2Agent (A2A) and Model Context Protocol (MCP).
Building the Go-To AI Gateway
There are many gateways available today, but most were designed before the rise of AI agents and struggle to support modern AI protocols without major rearchitecture. As a company with deep expertise in Envoy, we initially considered it as the foundation for agentgateway. However, we quickly realized that supporting modern agent protocols like A2A and MCP would require a significant re-architecture of Envoy itself.
MCP Authorization the Easy Way
In June 2025, the MCP community updated the specification to alleviate some of the concerns from the previous version regarding MCP Authorization. However, this update introduces new concerns, especially around enterprise usage. Nevertheless, many public facing MCP clients (Claude, VS Code, etc) do implement the MCP Authorization spec, and many public facing MCP services are expecting this.
In agentgateway, we are trying to make this easier for those building MCP servers. In recent builds, we’ve introduced a way to configure mcpAuthentication which leverages an external OAuth provider, specifically implementing the MCP server side of the MCP Authorization spec for you via configuration.
Announcing A2A, MCP, and Kubernetes Gateway API support
Today, we’re excited to share the next major milestone: agentgateway is now a full-featured, AI-native gateway that combines deep MCP and A2A protocol awareness, robust traffic policy controls, inference gateway support, Kubernetes Gateway API support, and unified access to major LLMs, all purpose-built with Rust for real-world agentic systems.
Back when we first introduced agentgateway, it was designed to fill a critical gap in the AI stack: enabling structured, secure, and scalable communication between agents, tools, and LLMs using protocols like MCP and A2A. Solo.io wrote about this in a blog post where we explained why traditional API gateways fall short in agentic environments. Since then, the project has grown tremendously.