Agents, MCP & Orchestration
What an agent is, how tools and MCP work, and how to make them reliable.
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What is MCP (the Model Context Protocol), and why does everyone suddenly care?
MCP, the Model Context Protocol, is an open standard for connecting AI models to tools, files, and apps. Think of it as a USB-C port for AI: one plug instead of a custom cable for every model-and-tool combination. Anthropic introduced it in late 2024. By 2026 OpenAI and Google support it too, and it's governed by the Linux Foundation.
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Why do AI agents still get things wrong, and how do good systems stay safe?
AI agents get things wrong because small per-step errors compound across long tasks, and because fluent, confident output makes people accept wrong answers. As of 2026 no method eliminates this. What reduces it: grounding answers in real sources, watching what the agent does, gating irreversible actions behind a human, and reusing steps already proven to work.