Library / Artificial Intelligence

MCP Development: Build AI Integrations with Vibe Coding

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About this course

Model Context Protocol (MCP) — Connect AI to Your Data

You've probably heard the term MCP. But what does it actually do?

Right now, AI assistants like Claude are powerful in general conversation — but they can't see your files, read your spreadsheets, or work with your private data. Every session starts from zero. MCP is the layer that changes that. It's a standardized protocol that lets AI talk to external tools and data sources. You define what the AI can access. It works locally, privately, on your terms.

Think of it like USB for AI: before USB, every device needed a different connector. After USB, everything just worked. MCP does the same for AI integration — one protocol, any data source.

This is not the last MCP course you'll take — it's the one that makes sure you take the right next one

What You'll Do in This Course

You won't be writing MCP servers from scratch. Three fully working servers are already built and waiting for you as reference — one for Word documents, one for Excel data, one for private document Q&A using a local AI model. What you'll do is run them, understand how they work, and extend them using Vibe Coding.

The course also comes with a complete set of rules, configurations, and Vibe Coding prompts — the same structured approach used to build the servers in the first place. Once you understand the pattern, you have everything you need to build your own integrations.

The Three Servers- Word Connector — give Claude access to local Word documents: list, search, read, analyze- Excel Processor — AI-powered data analysis through an HTTP API; works across Python and C#- Document Intelligence — ask questions about your own PDF and Word files, answered by a local LLM running entirely on your machine, no cloud required

Prerequisites

This course assumes you have coding fundamentals and some experience with Vibe Coding. If yo

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