This 56-minute tutorial from Trelis Research provides a comprehensive exploration of the Model Context Protocol (MCP). Learn how MCP works, what problems it solves, and how to implement it across various platforms and tools. Discover practical applications including inspecting MCP tool services, integrating with Cursor, navigating browsers with Playwright/Puppeteer, granting GitHub repo access, connecting with Stripe, running remote MCP servers with SSE, and utilizing MCP with Windsurf, Claude Desktop App, OpenAI agents, and custom LLMs via LiteLLM. Access the repository at Trelis.com/ADVANCED-inference to follow along with the provided scripts and examples. Perfect for developers looking to enhance their AI integration capabilities through this powerful protocol.
How to Use Model Context Protocol (MCP) - Implementation Guide
Overview
Syllabus
0:00 What is MCP Model Context Protocol?
0:46 Table of Contents
1:46 How does MCP work?
5:18 What problem does MCP solve?
9:22 Finding the scripts for this video https://trelis.com/ADVANCED-inference
10:03 How to inspect an MCP tool service?
16:56 How to use MCP with Cursor?
20:33 Browser navigation with MCP using Playwright or Puppeteer
23:09 How to use MCP with Github to grant repo access
25:01 How to use MCP with Stripe
27:50 Running a remote MCP server with SSE
30:45 How to use MCP with Windsurf?
32:33 How to use MCP with Claude Desktop App?
35:58 How to use MCP with OpenAI agents?
42:41 How to use MCP with a Custom LLM? via LiteLLM, and supporting image responses
55:22 Conclusion
Taught by
Trelis Research
