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

About

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

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

Use Cases

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