mcp-server-example

mcp-server-example

0
developer_toolsai_chatbotcommunication

This project demonstrates a Model Context Protocol (MCP) server implementation for integrating various LLM clients. It highlights MCP's capabilities like data resource management, tool invocation, and prompt usage within a standardized protocol. The focus is on flexibility, security, and ease of integration with LLM tools.

Overview

This project provides an implementation of a Model Context Protocol (MCP) server intended for educational purposes. The server allows integration with various LLM clients, providing pre-built integrations and flexibility among LLM providers. Key benefits include best practices for securing data and offering three types of capabilities: resources, tools, and prompts.

  • Key Features:
    • Client-server architecture
    • Access to multiple data sources, both local and remote
    • Standardized way to connect AI models to data sources and tools
  • System Requirements:
    • Python 3.10 or higher
    • MCP SDK 1.2.0 or higher
    • uv package manager