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farzad-r/mcp-lab

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This repository contains projects developed and presented on my YouTube channel for different use cases of Model Context Protocol (MCP).

Overview

Welcome to , a collection of projects, demos, and experiments using Model Context Protocol (MCP). This repository serves as a playground to explore the power and versatility of MCP in connecting AI models to external tools, data sources, and services. Think of MCP as – a standardized way to plug large language models (LLMs) into your tools with minimal custom code. Each folder in this repo represents an independent, self-contained project or tutorial built using MCP. Projects vary from beginner-friendly crash courses to deeper integrations with real-world APIs and local infrastructure. Each project includes: - Clear setup instructions - Source code for MCP servers and/or clients - Examples or video walkthroughs - Optional Claude or local LLM integration Model Context Protocol (MCP) enables: - 🔌 between LLMs and external tools - 🔒 (no need to expose your data to the cloud) - 🧱 for Slack, GitHub, databases, and more - 🌐 (works with Claude, Ollama, ChatGPT, etc.

README

🧪 MCP Lab – Experiments with Anthropic’s Model Context Protocol

Welcome to MCP Lab, a collection of projects, demos, and experiments using Model Context Protocol (MCP). This repository serves as a playground to explore the power and versatility of MCP in connecting AI models to external tools, data sources, and services.

Think of MCP as USB-C for AI – a standardized way to plug large language models (LLMs) into your tools with minimal custom code.


📂 Structure

Each folder in this repo represents an independent, self-contained project or tutorial built using MCP. Projects vary from beginner-friendly crash courses to deeper integrations with real-world APIs and local infrastructure.

mcp-lab/
│
├── mcp-crash-course/         # Introductory project – walk-through of MCP basics
├── Coming soon...

Each project includes:

  • Clear setup instructions
  • Source code for MCP servers and/or clients
  • Examples or video walkthroughs
  • Optional Claude or local LLM integration

🧠 Why MCP?

Model Context Protocol (MCP) enables:

  • 🔌 Plug-and-play integrations between LLMs and external tools
  • 🔒 Privacy-aware, local-first design (no need to expose your data to the cloud)
  • 🧱 Composable, reusable servers for Slack, GitHub, databases, and more
  • 🌐 LLM-agnostic architecture (works with Claude, Ollama, ChatGPT, etc.)

With MCP, you write a connector once, and any compatible model can use it. It’s the future of LLM-to-tool communication.


🛠 Getting Started

To run any project:

  1. Clone the repo:

    git clone https://github.com/Farzad-R/mcp-lab.git
    cd mcp-lab
    
  2. Navigate to the project folder you’re interested in (e.g. mcp-crash-course)

  3. Follow the README.md inside that folder for setup and instructions


All of these projects are featured in my educational videos on YouTube.

➡️ Watch the full crash course: [MCP Crash Course – YouTube Link]


🤝 Contributing

Want to add your own MCP experiment?
PRs are welcome! Follow the format of existing folders and include:

  • A clear README.md
  • A self-contained demo (scripts, server, or configs)
  • Optional: video or blog post link

MCP-Crash-Course YouTube Video: URL


View the full README on GitHub

Install

This server does not publish a one-line install command.

Open the repository installation guide New to MCP? Start with the mcpskill.org guide →