web-mcp_skill

Overview

This skill enables AI agents to interact with Next.js/React web applications through a structured tool interface implementing the WebMCP standard. It exposes self-documented tools with JSON Schemas, event-bridge execution, and contextual registration so agents can call functionality reliably. Use it to add agent-accessible capabilities or to convert brittle scraping into robust tool calls.

How this skill works

The skill registers named tools on component mount and unregisters them on unmount, making only relevant tools visible to agents. Each tool includes input and output JSON Schemas, an execute function, and optional annotations; agent calls dispatch CustomEvents that trigger React handlers and signal completion back to the agent. A small client library and hook coordinate registration, event dispatch, and completion signaling, supporting read-only and mutating tools and handling timeouts and errors.

When to use it

• Making a web app directly callable by AI agents instead of relying on scraping or DOM hacks
• Adding AI agent capabilities to an existing Next.js/React project
• Building tool-based interfaces for agents (search, cart, dashboard widgets, etc.)
• Scoping tool exposure to specific pages or components via contextual loading
• Creating reproducible, schema-driven contracts between agents and your frontend

Best practices

• Use clear camelCase action names (e.g., searchProducts, addToCart) and concise descriptions
• Define complete JSON Schemas with parameter descriptions and required fields
• Register tools only when the related UI is mounted to limit agent access and provide accurate context
• Annotate tools to indicate read-only vs mutating behavior and to give helpful hints to agents
• Implement robust error handling and timeouts in execute() to avoid hanging agent calls

Example use cases

• E‑commerce: expose productSearch, viewCart, addToCart, and checkout tools for a shopping assistant agent
• Dashboard: provide filter, export, and refresh tools so agents can manipulate widgets and datasets
• Blog: expose articleSearch, postComment, and setFilters for content discovery and moderation agents
• Support flows: create tools for order tracking and status updates that agents can call directly