In this episode of Bits and Specs, we explore the Model Context Protocol (MCP) — an emerging open standard for how AI agents discover tools, patch memory, and evolve mid-conversation. Unlike traditional plugin systems or rigid APIs, MCP defines a modular, dynamic architecture for building composable, intelligent agents that can reason, route, and adapt in real time.
We break down MCP’s core components — including resolvers, manifests, context patching, and tool invocation — and explain how this protocol lays the foundation for agent ecosystems that go far beyond prompt engineering. Whether you're an LLM developer, infrastructure nerd, or just AI-curious, this episode reveals why MCP may be the protocol behind the next generation of AI assistants.
🧠 Researched using official definitions and documentation from modelcontextprotocol.io with the help of Google NotebookLM.
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