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WebMCP: Web-based Model Context Protocol

WebMCP brings the power of the Model Context Protocol (MCP) to web applications, enabling seamless communication between AI models and web-based tools, data sources, and services directly in the browser.

WebMCP allows AI assistants to interact with web applications through a standardized protocol, making it possible to build rich, interactive experiences powered by AI.

What is MCP?

The Model Context Protocol (MCP) is an open standard that defines how AI models communicate with external tools and data sources. It provides a structured way for models to discover, invoke, and receive results from various capabilities.

Why WebMCP?

Traditional MCP implementations run server-side, requiring backend infrastructure to mediate between the AI model and the tools. WebMCP extends this to the browser, enabling:

Key Features

Getting Started

To integrate WebMCP into your web application, include the WebMCP client library and define your tool handlers:

1. Install the client library via npm install @m2x/webmcp-client
2. Define your tools using the defineTool() API
3. Connect to your AI model endpoint
4. Start handling tool invocations in the browser

Use Cases

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