mcp-server-example

mcp-server-example

102
developer_toolsai_chatbot

This project is an educational implementation of a Model Context Protocol (MCP) server designed to show how to integrate with various LLM clients. It highlights the benefits of MCP in providing standardized connections between AI models and data sources.

MCP Server Example

This repository contains an implementation of a Model Context Protocol (MCP) server for educational purposes. The project demonstrates how to build a functional MCP server that integrates with various LLM clients.

Key Benefits

  • A growing list of pre-built integrations for LLMs
  • Flexibility to switch between LLM providers
  • Best practices for data security

Architecture Overview

  • MCP Hosts: Programs like IDEs or AI tools
  • MCP Clients: Protocol clients connecting with servers
  • MCP Servers: Exposing capabilities through MCP
  • Data Sources: Local and remote services accessed by MCP

Core MCP Concepts

MCP servers offer three main capabilities: Resources, Tools, and Prompts.

System Requirements

  • Python 3.10 or higher
  • MCP SDK 1.2.0 or higher
  • uv package manager

Troubleshooting

  • Check configuration paths and permissions
  • Ensure uv is properly installed
  • Consult Claude Desktop logs for errors