Provides a basic implementation of an MCP server and client for tools, resources, and prompts.
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This example offers a streamlined Model Context Protocol (MCP) server and client implementation designed to illustrate the core concepts of the protocol. It demonstrates how to expose tools, resources, and prompts for use by Language Model (LLM) based applications. The server includes functionalities for querying a vector database for Retrieval Augmented Generation (RAG) responses, providing user-selected context through resources, and executing predefined prompts for complex workflows, showcasing a simple knowledgebase chatbot flow.
주요 기능
01Includes a simple client implementation for interaction.
02Demonstrates tool execution for LLM interaction.
0325 GitHub stars
04Offers a knowledgebase chatbot flow example.
05Implements preset prompts for standardized templates.
06Exposes static content as resources for context.
사용 사례
01Connecting to local datasources for context enrichment.
02Building modular LLM applications with interoperable components.
