As AI agent adoption accelerates, MCP servers have emerged across the company, but each team has handled authentication, security, and connection patterns differently. In this session, we share how Flava MCP Hub solved this fragmentation as a platform.
We will cover the four-layer architecture built through operating MCP Hub, the Connector that bridges the protocol gap between internal authentication and the MCP standard, and lessons learned from efforts such as bringing the Gateway in-house. Based on these experiences, we will also share where Flava MCP Hub is headed next.
Recommended For
Anyone who wants to safely connect AI Agents with internal systems
Anyone thinking about how to bridge the gap between standard protocols and internal authentication systems
Anyone interested in real-world MCP operations, including Gateway, OAuth, and Monitoring
In One Line
A practical session on how we designed and operated authentication, routing, authorization, monitoring, and more to turn MCP into company-wide AI infrastructure.