Introduction
Nowadays, AI agents are becoming increasingly powerful at assisting users in their daily web activities. However, we cannot yet allow them to act completely autonomously—there is still a risk of them clicking on the wrong elements, for instance.
In theory, these agents are capable of performing impressive tasks, provided they are guided step-by-step through the interface. The challenge here is not a lack of intelligence in the model, nor a shortage of web APIs to expose data to the agent. The core issue lies in the fact that the agent must currently "guess" its way through applications that were designed exclusively for humans.
This is precisely the problem that WebMCP is here to solve.
It is important to note that these are not intended to replace standard APIs as access points for an application. Instead, they provide a structured way for a web application to "instruct" the AI agent used in the browser on how to navigate its interface. This results in:
