MCP vs gRPC - How AI Agents and LLMs Connect to Tools and Data

Learn how AI agents and large language models connect to external tools and data through two key protocols in this technical video. Explore the Model Context Protocol (MCP) and gRPC, understanding their distinct approaches to overcoming context limitations in AI systems. Discover how MCP enables seamless integration between LLMs and external resources, while examining gRPC's role in facilitating communication between distributed systems. Compare the strengths and use cases of each protocol, and understand their impact on building more capable AI agents. Gain insights into the future of agentic AI workflows and how these technologies enable smarter, more connected AI systems that can access and utilize external tools and data sources effectively.