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webmcp-browser-toolswebmcp 浏览器工具

Agent Skill

webmcp-browser-tools 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

总安装

766

周安装

31

GitHub Stars

25

下载量

241
CodexClaudeCursorGemini CLI

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

unknown

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:webmcp-browser-tools(webmcp 浏览器工具)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/webmcp-browser-tools
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill webmcp-browser-tools
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/oimiragieo/agent-studio --skill webmcp-browser-tools

简介

webmcp-browser-tools 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面或读取网页内容时使用。

  • 它支持页面自动化操作、前端流程验证和信息提取,帮助 Agent 完成网页相关任务。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法可参考原始 README。
  • 安装前建议确认权限范围和维护状态,注意可能触发的联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

WebMCP Browser Tools

WebMCP is a browser API specification — published as a W3C Community Group Draft by contributors from Google and Microsoft (February 2026) — that enables web applications to expose their own UI functionality as MCP tools to AI agents.

Direction of data flow: Web App → exposes tools → AI Agent calls them.

This is the reverse of web scraping. The web app author decides what functions agents can call. The agent doesn't read the page — it calls structured tools the page registered.

Critical Distinction

ScenarioCorrect Tool
Agent fetches content from an external website (BLS, Ongig, news sites)WebFetch or mcp__Exa__web_search_exa
Web app exposes its own actions (add to cart, filter results, submit form) to an AI agentWebMCP
Agent automates a browser (click, fill, navigate)mcp__chrome-devtools__* or Playwright

WebMCP is not a web scraper, crawler, or search engine. It is a tool registration protocol for web apps that want to be first-class AI-callable services.

Status (as of 2026-02-22)

  • Spec: W3C Community Group Draft — https://github.com/webmachinelearning/webmcp
  • Browser support: Early preview in Chrome 146 Canary (shipped February 2026) behind the Experimental Web Platform Features flag. Stable rollout expected mid–late 2026.
  • Installable packages: YES — the @mcp-b/ ecosystem provides working npm packages today (polyfill + React integration)

Available npm packages

PackagePurpose
@mcp-b/react-webmcpReact hooks to expose components as MCP tools (v1.1.1)
@mcp-b/webmcp-polyfillStrict WebMCP core polyfill for any framework
@mcp-b/webmcp-typesTypeScript type definitions
@mcp-b/transportsBrowser transport layer (WebSocket/postMessage)
@mcp-b/webmcp-ts-sdkAdapts the official MCP TypeScript SDK for browsers
@mcp-b/create-webmcp-appScaffolding tool for new WebMCP apps

Install:

npm install @mcp-b/react-webmcp
# or for raw usage:
npm install @mcp-b/transports @modelcontextprotocol/sdk zod

How WebMCP Works

A web app registers tools with the browser. An AI agent (that has been granted access) can call those tools. The handler runs as client-side JavaScript with full access to the page's state.

// Web app registers tools for AI agents to call
if ('modelContext' in window.navigator) {
  window.navigator.modelContext.provideContext({
    tools: [
      {
        name: 'filterProducts',
        description: 'Filter the product list by a natural language query',
        inputSchema: {
          type: 'object',
          properties: {
            query: { type: 'string', description: 'Natural language filter' },
          },
          required: ['query'],
        },
        execute({ query }, agent) {
          // Runs in-browser, has access to current UI state
          const results = productService.filter(query);
          return { content: [{ type: 'text', text: JSON.stringify(results) }] };
        },
      },
    ],
  });
}

React integration (via @mcp-b/react-webmcp)

import { useTool } from '@mcp-b/react-webmcp';

function ProductList({ products }) {
  useTool({
    name: 'filterProducts',
    description: 'Filter products visible on screen',
    inputSchema: {
      /* ... */
    },
    execute({ query }) {
      return products.filter(p => p.name.includes(query));
    },
  });
  return (
    <ul>
      {products.map(p => (
        <li key={p.id}>{p.name}</li>
      ))}
    </ul>
  );
}

Key Differences from Standard MCP

AspectStandard MCP ServerWebMCP
LocationSeparate server processBrowser client-side JS
Context accessIsolated from UIShares live UI state, DOM, user session
StatusProduction-readyChrome Canary preview (stable ~mid-2026)
Installationnpm server package@mcp-b/ npm packages (polyfill) or native browser API
SetupSeparate process, stdio/SSEIn-page script, browser transport
AuthServer-levelBrowser security model + page context

When to Use This Skill

Use Skill({skill: 'webmcp-browser-tools'}) when:

  • Designing a web app that should expose UI actions to AI agents (e.g., a dashboard that agents can query, a form workflow agents can submit)
  • Integrating an existing web app with Claude via browser-side tools rather than building a backend MCP server
  • Planning agent-to-web-app collaboration where the agent and user share the same browser interface (human-in-the-loop workflows)
  • Evaluating whether to use WebMCP vs. backend MCP for a new product feature

Do NOT use this skill when:

  • You need to fetch or scrape content from external sites → use WebFetch or mcp__Exa__web_search_exa
  • You need browser automation (click, fill, navigate) → use mcp__chrome-devtools__*
  • The web app does not support WebMCP → build a standard backend MCP server instead

Real-World Use Cases

  • E-commerce agent: Product page registers searchInventory, addToCart, applyPromoCode — agent calls them without scraping
  • Analytics dashboard: Dashboard registers runQuery(metric, timeRange) — agent can answer data questions without screen-reading
  • Browser IDE: Code editor registers insertSnippet, runTests, openFile — agent assists without Playwright automation
  • Figma/design tool: Registers createComponent, applyTheme — agent can directly modify designs

agent-studio Integration Path

Today (Chrome Canary + @mcp-b polyfill)

  1. Install @mcp-b/webmcp-polyfill or @mcp-b/react-webmcp in the target web app
  2. Register tools using window.navigator.modelContext.provideContext()
  3. Claude Code (with the mcp__chrome-devtools__* tools available) can discover and call registered tools on the page

When Chrome Stable Ships (~mid-2026)

  1. No polyfill needed — native browser API available
  2. Update this skill's examples to reflect the stable API surface
  3. Consider creating a dedicated webmcp-integration workflow for onboarding web apps as agent-callable services

Monitoring

Watch: https://github.com/webmachinelearning/webmcp for:

  • Chrome intent-to-ship / origin trial announcements
  • Firefox and Safari implementation signals
  • Breaking changes in the window.navigator.modelContext API surface
  • @mcp-b/ package releases for updated polyfill patterns

Anti-Patterns

  • Do NOT use WebMCP to scrape or read content from sites you don't control — that's WebFetch / Exa
  • Do NOT confuse with Anthropic's MCP (Model Context Protocol) — same underlying protocol, different surface: WebMCP is the browser-side extension of MCP
  • Do NOT build production systems that require Chrome stable WebMCP until the API ships; use the @mcp-b/webmcp-polyfill for progressive enhancement today
  • Do NOT register tools that require server-side data access — those belong in a backend MCP server, not a browser tool

Assigned Agents

AgentRole
frontend-proPrimary — designing and implementing WebMCP tool registration in web apps
developerSupporting — integration architecture, polyfill setup, TypeScript types
researcherSupporting — tracking spec evolution, browser support status

Iron Laws

  1. ALWAYS gate WebMCP usage behind if ('modelContext' in window.navigator) feature detection
  2. NEVER use WebMCP for external page fetching or web scraping — use WebFetch or Exa instead
  3. ALWAYS define JSON Schema for tool inputs before writing the handler (schema-first design)
  4. NEVER register WebMCP tools that replicate backend requests — exploit current page state instead
  5. ALWAYS use the polyfill (@mcp-b/webmcp-polyfill) for development until Chrome stable ships the native API

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
No feature detection guardCrashes in non-WebMCP browsersAlways check 'modelContext' in window.navigator
Using WebMCP for external URL fetchingWrong direction of data flowUse WebFetch or Exa for external content
Skipping JSON Schema for tool inputsAmbiguous contracts, runtime errorsDefine schema for all tool inputs before handler
Registering backend-equivalent toolsDuplicates MCP server, ignores page stateTools should expose UI-specific actions and state
Relying on native API in production nowChrome stable ships ~mid-2026Use @mcp-b/webmcp-polyfill until native is stable

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New WebMCP pattern or API update → .claude/context/memory/learnings.md
  • Browser support change (Chrome flag, origin trial) → .claude/context/memory/learnings.md
  • Architecture decision for agent-browser integration → .claude/context/memory/decisions.md
  • Breaking change in @mcp-b/ packages → .claude/context/memory/issues.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

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02

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03

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能力概览

能力 1

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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

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

Codex

34.96%
按下载量换算84

Claude

28.95%
按下载量换算70

Cursor

18.95%
按下载量换算46

Gemini CLI

9.12%
按下载量换算22

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

来源信息

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