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web-mcpWEB MCP 搜索

Agent Skill

web-mcp 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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28,577

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下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:web-mcp(WEB MCP 搜索)
来源仓库:https://github.com/slemo54/web-mcp
安装命令:
openclaw skills install web-mcp
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install web-mcp

简介

WebMCP - 使 AI 代理能够通过结构化工具与您的 Web 应用程序交互。通过工具重新实现 Next.js/React 应用程序的 WebMCP 标准

SKILL.md

name
web-mcp
description
WebMCP - Enable AI agents to interact with your web applications through structured tools. Implements the WebMCP standard for Next.js/React apps with tool registration, event bridge pattern, and contextual tool loading. Use when building AI-agent accessible web apps, adding MCP capabilities to existing projects, or creating tool-based interfaces for AI interactions.
version
1.0.0
user-invocable
true
triggers
allowed-tools
metadata
clawdbot
emoji
🌐
config
stateDirs
[".webmcp"]

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 implementation
  • hooks/useWebMCP.ts - React hook
  • components/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

CommandDescription
webmcp initInitialize WebMCP in project
webmcp add-tool <name>Add new tool definition
webmcp generate-typesGenerate 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

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.25%
按下载量换算7,334

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权限和风险

操作浏览器

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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