Solo.io Blog

The Agentic AI Foundation welcomes agentgateway - an open source gateway purpose-built for MCP, Agent-to-Agent, LLM, and API traffic - as its newest hosted project.

This release brings agentgateway into the ambient mesh as a waypoint, ingress, and egress proxy, adds egress controls directly in ztunnel, ships a revamped Solo UI with a new advanced Service Graph, and introduces workload identity that goes beyond the service account.

A very common pattern for MCP servers in the enterprise is to wrap existing APIs. We’ve invested 20+ years in building useful, reusable, valuable APIs, should we really be reinventing everything just because a fancy new protocol showed up? Is that even practical? The answer is no. We need to be practical and recognize some fundamental challenges mapping APIs to MCP tools. With agentgateway, we have three ways to expose OpenAPI operations via MCP: direct exposure, custom exposure with optional API chaining, or an AI model-controlled “code mode”.

Service mesh became boring...but it's more foundational than ever before.

With support for NemoClaw, kagent expands to help teams run agent harnesses securely and at scale on Kubernetes.

Meet the winners of the 2026 Hackathon for MCP & AI Agents - showcasing open source AI agents, MCP servers, and cloud-native tooling built with kagent, agentgateway, agentregistry, kgateway, kmcp, and more.

Learn how to cut MCP token usage by 91% using agentgateway’s progressive disclosure. Reduce cost, control context bloat, and optimize agent workflows.

Solo Enterprise for agentgateway 2.3 is now generally available. The major new feature in this release is improved support for AWS Bedrock AgentCore as well as a broad set of improvements to automatic failover, MCP authentication, token exchange, observability, and authorization policy ergonomics.

Learn how Solo.io implemented an AI control plane with agentgateway to optimize model usage, improve efficiency, and reduce AI spend by 70%.