Ep 18: How Model Context Protocol (MCP) Connects AI to Your Workflows

from Inside AsembleAI: DeepTech, AI & Science

Mac and Sam break down Model Context Protocol (MCP)—the universal standard transforming how AI connects to tools, data, and workflows. Think of it as the "USB-C moment" for AI: plug-and-play integration that eliminates custom builds for every system. Discover what MCP actually is, how it enables seamless AI connections across your tech stack, real-world use cases for developers and enterprises, and why regulated industries are taking notice. Key Topics: The shift from custom integrations to standardized protocols Practical implementation strategies Enterprise and regulated industry applications What MCP solves (and its limitations) Perfect for: AI developers, enterprise teams, tech leaders in regulated industries, and anyone curious about the future of AI tooling. Key Insight: MCP isn't about making AI smarter—it's about making AI connections smarter. Resources: MCP documentation, weekly insights, and community links at asembleai.substack.com

Episode metadata supplied by the publisher feed · Published Feb 4, 2026

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Ep 18: How Model Context Protocol (MCP) Connects AI to Your Workflows

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