AgntBase
WebMCP for business websites

Make your site action-ready for AI agents

WebMCP-style action discovery is about helping agents understand which actions a website can safely expose. AgntBase prepares the facts, action map, guardrails and discovery routes underneath that layer.

Plain meaning

What WebMCP-style action discovery means

For a business website, the useful idea is simple: an AI agent should not guess how to act. It should be able to discover what actions are available, what facts are required, which path is safe, and where human confirmation is needed.

We describe this carefully as WebMCP-style action discovery. We do not present WebMCP as a universal requirement for every website. The market is still early, and websites will likely expose actions through a mix of browser paths, MCP servers, APIs, Agent Cards, schema and human handoff rules.

AgntBase role

What AgntBase prepares

Profile

Business facts

Identity, category, offers, locations, policies, prices, source links and freshness.

Path

Action map

Forms, required fields, failure points, success states and safe handoff instructions.

Rules

Guardrails

No autonomous payments, no hidden writes, no profile mutation without owner confirmation.

Business value

Why this matters before agents click

Most websites were built for humans who can interpret context. Agents need explicit routes. If the site sells services, the route may be quote request or booking. If it sells products, the route may be product fit, cart preparation and checkout handoff. If the business is regulated, the route may be human review only.

A canonical profile explains what is true. An action layer explains what can safely happen next.
Boundaries

What we do not claim

  • We do not promise AI rankings, citations or recommendations.
  • We do not ask agents to bypass login, CAPTCHA, payment confirmation or business controls.
  • We label AgntBase-specific files as an optional extended layer.
  • We treat WebMCP as an emerging direction and prepare businesses for the pattern: discoverable, safe, agent-readable actions.