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mcp-web

Expose frontend application state and actions as MCP tools.

12|Updated Jul 11, 2025
Search Tags:#frontend#tooling#mcp#ai agent#ui automation#web
One-click install
npx skills add https://github.com/flekschas/mcp-web --skill mcp-web
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-web
Source: https://github.com/flekschas/mcp-web/tree/main/agents/skills/mcp-web
Command: npx skills add https://github.com/flekschas/mcp-web --skill mcp-web

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables AI agents to directly interact with and control frontend web applications by exposing their state and actions through the Model Context Protocol (MCP).

Core Features & Use Cases

  • Expose Frontend State & Actions: Dynamically make your application's data and functionalities available as MCP tools.
  • AI-Controllable UIs: Build web interfaces that AI can understand and manipulate using natural language.
  • Human-AI Parity: Ensure seamless interaction and control for both humans and AI agents.
  • Use Case: An AI agent can be instructed to "add a new task to the todo list" or "update the user's profile information" by invoking tools exposed by your MCP-Web enabled application.

Quick Start

Use the mcp-web skill to add a new tool to your application that gets the current user's name.

Frequently Asked Questions about mcp-web

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

FAQPage Schema
How do I expose frontend application state and actions to an AI agent?▼

You expose frontend application state and actions to an AI agent by dynamically mapping them as type-safe Model Context Protocol (MCP) tools. This allows the agent to directly invoke application functionalities and manipulate web interfaces.

What is the Model Context Protocol (MCP) for web app control?▼

The Model Context Protocol (MCP) for web app control is a standard that exposes application state, actions, and UIs as MCP tools and apps. It enables AI agents to understand and manipulate frontend interfaces, ensuring human-AI parity.

Can AI agents interact with multiple browser sessions using MCP?▼

Yes, AI agents can interact with multiple browser sessions. The system supports connecting to and managing several concurrent browser sessions, allowing the AI to trigger queries and control distinct frontend instances simultaneously.

How do I build visual MCP tools from existing UI components?▼

You build visual MCP tools from existing UI components by auto-generating tools from schemas. This process wraps your visual components as MCP tools, allowing AI agents to understand and manipulate the UIs directly.

Does MCP support auto-generation of tools from frontend schemas?▼

Yes, MCP supports auto-generation of tools from frontend schemas. You can dynamically expose type-safe state and actions as MCP tools without manual boilerplate, allowing AI agents to invoke them directly.

How do I trigger AI queries directly from a frontend web application?▼

You trigger AI queries directly from a frontend web application by integrating the MCP framework. This exposes your application's state and actions as MCP tools, allowing the AI to query and manipulate the UI based on user instructions.

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