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thanhtn2902bythanhtn2902
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Learning & Documentation

Demonstrates the Model Context Protocol (MCP)'s core capabilities: Tools, Resources, and Prompts, through a JavaScript-based educational server.

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Explore the Model Context Protocol (MCP) in an interactive JavaScript environment designed for learning. This server comprehensively demonstrates MCP's three primary capabilities: Tools, for AI to perform actions like calculations or API calls; Resources, for AI to read data from various sources; and Prompts, for leveraging reusable, customizable prompt templates. It serves as an excellent starting point for developers looking to understand, implement, and experiment with MCP server functionalities, providing clear examples and a step-by-step guide to building intelligent agent integrations.

Key Features

010 GitHub stars
02Comprehensive demonstration of MCP Tools, including mathematical calculations and mock data retrieval.
03Includes a step-by-step learning guide for understanding server architecture.
04Built using the `@modelcontextprotocol/sdk` for easy server implementation.
05Showcases MCP Resources, providing examples of file-based data access.
06Illustrates MCP Prompts for generating content like code reviews and project documentation.

Use Cases

01Prototyping MCP server implementations for AI assistant integrations.
02Learning and understanding the Model Context Protocol (MCP).
03Developing custom tools, resources, and prompts for AI agents.