Demonstrates building a functional Model Context Protocol (MCP) server for integrating with LLM clients.
This repository provides an educational implementation of a Model Context Protocol (MCP) server, illustrating how to construct a server capable of integrating with various LLM clients. It showcases the core concepts of MCP, including resources, tools, and prompts, and provides a practical example of connecting to a host application like Claude Desktop. The project is designed to help developers understand and implement MCP servers for providing context to AI models.
Key Features
01Provides file-like data access for clients
02Enables function calls by LLMs with user approval
03Offers pre-written templates for specific tasks
04Demonstrates integration with Claude Desktop
05Uses a client-server architecture
Use Cases
01Building a custom MCP server to expose specific capabilities.
02Connecting local and remote data sources to LLMs.
03Providing context to LLMs through standardized protocols.
