Lecture 28: Model Context Protocol (MCP) - Connecting LLMs with Playwright & FileSystem Tools

Description

Welcome to Lecture 28 of our Gen AI Series! In this comprehensive lecture, we dive deep into Model Context Protocol (MCP) - Anthropic's groundbreaking open protocol that standardizes how applications provide tools and context to Large Language Models. 🎯 What You'll Learn: Understanding MCP fundamentals and why it matters The three core components: Client, Server, and Host Transport protocols: STDIO, Streamable HTTP, and SSE Creating custom MCP tools with Python Integrating existing MCP servers (Playwright, File System, Gmail, and more) Practical implementation with LangChain Real-world examples: browser automation, file management, and API integrations 🔑 Key Topics Covered: ✅ MCP architecture and components ✅ Local vs Remote servers explained ✅ Building custom tools with @mcp.tool decorator ✅ Transport modes: When to use STDIO vs HTTP ✅ Connecting multiple MCP servers to your LLM ✅ Practical demos: Playwright for browser automation, File System operations ✅ Exploring MCP marketplaces: mcp.so and Smithery 💡 Hands-on Examples: Creating math and weather tools Browser automation with Playwright File system operations (list, rename, search files) Integrating Gmail, WhatsApp, and Telegram tools Stock market integration with Kite API 🛠️ Tools & Resources Mentioned: Anthropic's MCP LangChain Playwright MCP Server File System MCP Server MCP Server Marketplaces Perfect for developers looking to enhance their LLM applications with powerful tool integration capabilities! #GenAI #MCP #LangChain #Anthropic #LLM #AI #MachineLearning #Python #ToolIntegration #Claude