OpenClaw · Skill
WebMCP
Enable AI agents to interact with your web applications through structured tools. WebMCP provides a clean, self-documenting interface between AI agents and your web app.
Install
Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.
Primary command
clawhub install slemo54/web-mcpClawHub installer
npx clawhub@latest install slemo54/web-mcpOpenClaw CLI
openclaw skills install slemo54/web-mcpDirect OpenClaw install
openclaw install slemo54/web-mcpWhat this skill does
Enable AI agents to interact with your web applications through structured tools. WebMCP provides a clean, self-documenting interface between AI agents and your web app.
Why it matters
Agents get a stable, typed contract that survives UI redesigns, unlike CSS selectors or screenshot parsing.
Typical use cases
- Letting an AI agent search products on an e-commerce site without DOM access
- Exposing cart management actions as typed, callable tools for agents
- Building an agent-navigable dashboard with filter and export tools
- Adding structured agent access to a blog's search and comment features
- Wrapping internal web app actions so agents can trigger them reliably
Source instructions
WebMCP
Enable AI agents to interact with your web applications through structured tools. WebMCP provides a clean, self-documenting interface between AI agents and your web app.
What is WebMCP?
WebMCP is a web standard that gives AI agents an explicit, structured contract for interacting with websites. Instead of screen-scraping or brittle DOM selectors, a WebMCP-enabled page exposes tools — each with:
- A name
- A JSON Schema describing inputs and outputs
- An executable function
- Optional annotations (read-only hints, etc.)
Quick Start
# Initialize WebMCP in your Next.js project
webmcp init
# Add a new tool
webmcp add-tool searchProducts
# Generate TypeScript types
webmcp generate-types
Core Concepts
1. Tool Definition
const searchTool = {
name: "searchProducts",
description: "Search for products by query",
inputSchema: {
type: "object",
properties: {
query: { type: "string", description: "Search query" }
},
required: ["query"]
},
outputSchema: { type: "string" },
execute: async (params) => {
// Implementation
},
annotations: {
readOnlyHint: "true"
}
};
2. Contextual Tool Loading
Tools are registered when components mount and unregistered when they unmount:
useEffect(() => {
registerSearchTools(); // Tools appear to agent
return () => {
unregisterSearchTools(); // Tools disappear
};
}, []);
3. Event Bridge Pattern
Tools communicate with React through CustomEvents:
Agent → execute() → dispatch CustomEvent → React updates → signal completion → Agent receives result
Architecture
┌─────────────────────────────────────────┐
│ Browser (navigator.modelContext) │
│ │
│ ┌───────────┐ registers/ ┌────┐ │
│ │ AI Agent │◄──unregisters────│web │ │
│ │ (Claude) │ tools │mcp│ │
│ │ │ │.ts│ │
│ │ calls─────┼─────────────────►│ │ │
│ └───────────┘ └──┬─┘ │
│ │ │
│ CustomEvent│ │
│ dispatch │ │
│ ▼ │
│ ┌──────────────────────────────────┐ │
│ │ React Component Tree │ │
│ │ │ │
│ │ ┌──────────┐ ┌──────────┐ │ │
│ │ │/products │ │ /cart │ │ │
│ │ │useEffect:│ │useEffect:│ │ │
│ │ │ register │ │ register │ │ │
│ │ │ search │ │ cart │ │ │
│ │ │ tools │ │ tools │ │ │
│ │ └──────────┘ └──────────┘ │ │
│ └──────────────────────────────────┘ │
└─────────────────────────────────────────┘
Installation
# In your Next.js project
npx webmcp init
# Or install globally
npm install -g @webmcp/cli
webmcp init
Usage
1. Initialize WebMCP
webmcp init
This creates:
lib/webmcp.ts- Core implementationhooks/useWebMCP.ts- React hookcomponents/WebMCPProvider.tsx- Provider component
2. Define Tools
// lib/webmcp.ts
export const searchProductsTool = {
name: "searchProducts",
description: "Search for products",
execute: async (params) => {
return dispatchAndWait("searchProducts", params, "Search completed");
},
inputSchema: {
type: "object",
properties: {
query: { type: "string" }
},
required: ["query"]
},
annotations: { readOnlyHint: "true" }
};
3. Register in Components
// app/products/page.tsx
"use client";
import { useEffect, useState } from "react";
import { registerProductTools, unregisterProductTools } from "@/lib/webmcp";
export default function ProductsPage() {
const [results, setResults] = useState([]);
const [completedRequestId, setCompletedRequestId] = useState(null);
// Signal completion after render
useEffect(() => {
if (completedRequestId) {
window.dispatchEvent(
new CustomEvent(`tool-completion-${completedRequestId}`)
);
setCompletedRequestId(null);
}
}, [completedRequestId]);
// Register tools + listen for events
useEffect(() => {
const handleSearch = (event: CustomEvent) => {
const { requestId, query } = event.detail;
// Perform search
setResults(searchProducts(query));
if (requestId) setCompletedRequestId(requestId);
};
window.addEventListener("searchProducts", handleSearch);
registerProductTools();
return () => {
window.removeEventListener("searchProducts", handleSearch);
unregisterProductTools();
};
}, []);
return <div>{/* Product UI */}</div>;
}
CLI Commands
| Command | Description |
|---|---|
webmcp init | Initialize WebMCP in project |
webmcp add-tool <name> | Add new tool definition |
webmcp generate-types | Generate TypeScript types |
webmcp example <type> | Create example project |
Tool Types
Read-Only Tools
{
name: "viewCart",
description: "View cart contents",
annotations: { readOnlyHint: "true" }
}
Mutating Tools
{
name: "addToCart",
description: "Add item to cart",
annotations: { readOnlyHint: "false" }
}
Tools with Parameters
{
name: "setFilters",
inputSchema: {
type: "object",
properties: {
category: { type: "string", enum: ["electronics", "clothing"] },
maxPrice: { type: "number" }
}
}
}
Examples
E-Commerce
webmcp example e-commerce
Features:
- Product search
- Cart management
- Checkout flow
- Order tracking
Dashboard
webmcp example dashboard
Features:
- Widget interactions
- Data filtering
- Export functionality
- Real-time updates
Blog
webmcp example blog
Features:
- Article search
- Comment posting
- Category filtering
- Related articles
Best Practices
1. Tool Naming
Use camelCase verbs that describe the action:
- ✅
searchProducts - ✅
addToCart - ✅
updateProfile - ❌
product_search - ❌
handleCart
2. Descriptions
Write clear, specific descriptions:
- ✅ "Search for products by name or category"
- ❌ "Search stuff"
3. Schema Completeness
Always include descriptions for parameters:
properties: {
query: {
type: "string",
description: "The search query to find products by name or category"
}
}
4. Contextual Loading
Register tools only when relevant:
// Product page
useEffect(() => {
registerProductTools();
return () => unregisterProductTools();
}, []);
// Cart page
useEffect(() => {
registerCartTools();
return () => unregisterCartTools();
}, []);
5. Error Handling
Always handle timeouts and errors:
async function execute(params) {
try {
return await dispatchAndWait("action", params, "Success", 5000);
} catch (error) {
return `Error: ${error.message}`;
}
}
Browser Support
WebMCP requires browsers that support:
- CustomEvent API
- navigator.modelContext (proposed standard)
For development, use the WebMCP polyfill:
import "@webmcp/polyfill";
Resources
Integration with Other Skills
- ai-labs-builder: Use WebMCP to make AI apps agent-accessible
- mcp-workflow: Combine with workflow automation
- gcc-context: Version control your tool definitions