Please make Jarvis (so I don't have to)
By Kent C. Dodds
Please make Jarvis (so I don't have to)
The dream of a seamless AI assistant like Tony Stark's Jarvis – capable of understanding intent and accomplishing tasks across any service, anywhere – is closer than ever, but key infrastructure is missing. While the Model Context Protocol (MCP) provides a crucial foundation for standardized agent-service communication, replacing websites with MCP services, it introduces a critical challenge: tool overloading. How can an AI agent effectively choose the right service when faced with potentially millions of options? This talk outlines the requirements for building a true "Jarvis." We need a "Google for MCPs"—an intelligent discovery and ranking engine that leverages not just service descriptions, but user history, task success rates, and deep personalization to overcome tool overload and connect users' intentions to the right MCP service. Join this session to explore the architecture required for this future and understand the call to action: let's build the necessary infrastructure to make Jarvis a reality.