agent-ready-webmcp

Register website search, navigation, and data retrieval tools via the WebMCP API.

47|4|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/fabricioctelles/skills --skill agent-ready-webmcp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-ready-webmcp
Source: https://github.com/fabricioctelles/skills/tree/main/skills/agent-ready-cloudflare/webmcp
Command: npx skills add https://github.com/fabricioctelles/skills --skill agent-ready-webmcp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps websites become discoverable and usable by browser-based AI agents through the WebMCP API, enabling agents to perform site actions instead of only reading page content.

Core Features & Use Cases

  • Tool Registration: Define website tools with names, descriptions, JSON Schemas, and executable callbacks.
  • Agent-Focused Actions: Expose key capabilities such as search, navigation, and data retrieval to compatible AI agents.
  • Lifecycle Management: Use an AbortController to unregister tools when they are no longer needed.
  • Validation: Scan a deployed website with the Is It Agent Ready API and verify that WebMCP discovery passes.

Quick Start

Use the agent-ready-webmcp skill to implement WebMCP tools for my website's search, navigation, and data retrieval actions, then validate the deployment.

Frequently Asked Questions about agent-ready-webmcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose website actions to browser-based AI agents?

To expose website actions to AI agents, you use the WebMCP API to register tools with JSON Schema inputs and executable callbacks during page rendering. This enables compatible agents to perform site actions like search and navigation instead of only reading content.

What is WebMCP tool registration and how does it work?

WebMCP tool registration uses navigator.modelContext.registerTool to define website capabilities with names, descriptions, JSON Schemas, and execute callbacks. This mechanism allows browser-based AI agents to discover and use site actions during page rendering.

How do I manage the lifecycle of registered WebMCP tools?

You manage the lifecycle of registered WebMCP tools by using an AbortController to unregister them when they are no longer needed. This ensures that browser-based AI agents cannot access outdated or irrelevant website actions during page rendering.

How can I validate if my website is ready for AI agent discovery?

You validate if your website is ready for AI agent discovery by scanning the deployed site with the Is It Agent Ready API. This verifies that your WebMCP tool registration passes discovery validation for browser-based AI agents.

Do I need JSON Schema to define WebMCP tools for browser automation?

Yes, you need JSON Schema to define the input parameters for WebMCP tools exposed to AI agents. The navigator.modelContext.registerTool method requires JSON Schema inputs alongside execute callbacks to enable browser automation.

Can I expose search and navigation capabilities to AI agents through WebMCP?

Yes, you can expose search, navigation, and data retrieval capabilities to AI agents through the WebMCP API. By applying tool registration to web applications, browser-based agents can discover and execute these site actions during page rendering.