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This repo contains example notebooks and MCP samples created while learning the Model Customization Protocol (MCP) through a DeepLearning.AI course in collabora

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About

This repo contains example notebooks and MCP samples created while learning the Model Customization Protocol (MCP) through a DeepLearning.AI course in collaboration with Anthropic, the creators of MCP, and the deep learning community who contributed to the course.

README

Welcome to my personal learning repository for Model Context Protocol (MCP) and related Generative AI (GenAI) concepts. This repo includes:

  • Notes and insights on MCP & GenAI
  • Code implementations via cookbooks
  • Links to external resources (Notion pages & courses)

Model Context Protocol (MCP)

Why MCP?

Understand the motivation and benefits of using MCP:

MCP Overview (Notion)

MCP Architecture

Explore the design and components of MCP:

MCP Architecture (Notion)

LLM Chatbot

Hands-on examples using function tool calling with different providers:

Creating MCP Server

Hands-on guide to creating an MCP server:

  • 🖥️ Creating an MCP Server
    mcp_server.ipynb - This example aligns with exposing the tools via the MCP server.

Creating MCP Client

Hands-on guide to creating an MCP client:

  • 🖥️ Creating an MCP Client mcp_client.ipynb - This example aligns with consuming the tools via the MCP client. Additionally, They contains the steps to run the MCP client and interact with the MCP server using LLMs.

Connecting Reference MCP Servers

Hands-on guide to connecting to reference MCP servers:

  • 🔗 Connecting to Reference MCP Servers connect_the_reference_mcp_servers.ipynb - This example demonstrates how to connect to various reference MCP servers like filesystems, research_papers, and fetch.

MCP Resources and Prompts

Hands-on guide to using MCP resources and prompts:

  • 📚 Using MCP Resources and Prompts prompts_and_resources_with_mcp.ipynb - This example shows how to run the MCP server and client, explore available tools, list and fetch resources, view all prompts, and use prompts with arguments to get results.

Contributions Welcome!
If you’d like to add examples using other providers or open-source models, feel free to open a pull request. I’ll review and merge it.


Learning Resources

I’m learning MCP through a free course by DeepLearning.AI and Anthropic (creators of MCP):

MCP Course – Build Rich Context AI Apps


[!NOTE] This repository is a work in progress. More content and examples will be added regularly.

[!TIP] Use the Notion links & MCP Cookbooks above for deep dives and refer to them for practical code.


🔗 Quick Access

from github.com/ShathisKannan19/mcp-notebooks

Installing Notebooks

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/ShathisKannan19/mcp-notebooks

FAQ

Is Notebooks MCP free?

Yes, Notebooks MCP is free — one-click install via Unyly at no cost.

Does Notebooks need an API key?

No, Notebooks runs without API keys or environment variables.

Is Notebooks hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Notebooks in Claude Desktop, Claude Code or Cursor?

Open Notebooks on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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