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Working with LLMs like Claude, GPT-4, and open-source models for AI applications. Covers model capabilities, fine-tuning, retrieval-augmented generation (RAG), and best practices for AI-driven workflows.

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What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs

· 7 min read
Norah Sakal
Norah Sakal
AI Consultant & Developer

What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs

MCP (Model Context Protocol) is a new open protocol designed to standardize how applications provide context to Large Language Models (LLMs).

Think of MCP like a USB-C port but for AI agents: it offers a uniform method for connecting AI systems to various tools and data sources.

This post breaks down MCP, clearly explaining its value, architecture, and how it differs from traditional APIs.