MCP: The LLM Interface That Might Actually Stick

Despite the hype, Model Context Protocol (MCP) isn't magic. But it's simple, well-timed, and well-executed. At Stainless, we're betting it's here to stay. Previous attempts to connect LLMs to the world—function calling, ReAct/LangChain, ChatGPT plugins, custom GPTs, AutoGPT—were cumbersome, error-prone, or limited. MCP's success stems from: 1. Models are finally good enough to handle complex workflows reliably; 2. The protocol is good enough, offering a vendor-neutral standard; 3. The tooling is good enough, with easy-to-use SDKs; 4. Momentum is good enough, with adoption by major players and the community. MCP simplifies tool and agent development, fostering tool reuse and ecosystem growth. It's poised to become the future standard for LLM APIs.