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Why are your AI workflows slow and expensive? The answer is infrastructure. Most people are missing the biggest shift in AI: Model Context Protocol (MCP) combined with Code Execution in Claude AI. This isn't just a new feature; it's the foundation that makes truly powerful, reliable, and cost-effective AI agents possible. In this in-depth video, we break down how MCP solves the complex integration and maintenance problems of traditional AI tools, reducing token consumption by over 98% and making your automated tasks 75 times faster and 75 times cheaper. Learn how business leaders can leverage this technology to connect their entire tech stack, build reusable "playbooks," and finally automate those complex, multi-step workflows that used to crash or cost a fortune. ⏱️ Video Chapters (for AEO/Skipping): 0:00 - The Infrastructure Shift in AI (MCP) 0:35 - The Problem: Why Current AI Agents Fail 1:40 - What is Model Context Protocol (MCP)? 2:17 - The Game Changer: Code Execution in Claude 2:48 - The 75x Speed & Cost Reduction Explained (Tokens) 2:57 - 3 Core Benefits of MCP for Your Business 4:56 - Step-by-Step: How to Connect Custom MCP Connectors (Tools/Skills) 6:40 - The Future of AI Agents and Infrastructure 💡 Key Takeaways: Universal Connector: MCP acts as a universal adapter, allowing Claude to reliably integrate with your entire tech stack (Salesforce, HubSpot, Slack, etc.) without constant maintenance. Code Execution: Claude writes and runs code, leading to massive efficiency gains and cost savings compared to traditional step-by-step instructions. Reusable Workflows: Save successful, complex tasks as automated "playbooks" for immediate, reliable reuse across your business. ➡️ What complex workflow are you ready to automate? Drop it in the comments! #ClaudeAI #MCP #CodeExecution #AIAgents #AIInfrastructure #ClaudeSkills #AIAutomation #BusinessAI #Anthropic #LLMTools