tag: Development

1. Introduction In a previous post, we explored the concepts behind the Model Context Protocol (MCP) – a way for AI assistants to securely interact with your local environment and external tools. MCP bridges the gap between isolated AI models and the rich context of your development workflow. But how do you actually create one of these servers to extend an AI’s capabilities? This post provides a hands-on tutorial for building a simple, functional MCP server from scratch using Python. ...

What is the Model Context Protocol (MCP)? The Model Context Protocol (MCP) is a specification designed to allow language models (like AI assistants or code generation tools) to interact safely and effectively with local development environments and external services. Think of it as a standardized way for an AI to access tools and data beyond its built-in knowledge, directly on your machine or through approved APIs. Why is MCP Important? Language models often operate in isolated environments. MCP bridges this gap, enabling them to: ...