Quick MCP Example

About

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.

Key Features

• Includes a simple client implementation for interaction.
• Demonstrates tool execution for LLM interaction.
• 25 GitHub stars
• Offers a knowledgebase chatbot flow example.
• Implements preset prompts for standardized templates.
• Exposes static content as resources for context.

Use Cases

• Connecting to local datasources for context enrichment.
• Building modular LLM applications with interoperable components.
• Integrating services APIs and tools with LLMs.