The Model Context Protocol in Java
Introduction
Every agent needs tools, and every tool needs a way to reach the model. Building Agentic Workflows in Java built that connection by hand — a hand-written Tool schema, a loop that dispatches on toolUse.name(). LLM Frameworks vs. the Raw SDK in Java showed LangChain4j and Spring AI turning an annotated Java method into that same schema via reflection. Both are still bespoke: the tool lives inside one process, wired to one agent, in one language.
The Model Context Protocol in Python
Introduction
Every agent needs tools, and every tool needs a way to reach the model. Building Agentic Workflows in Python built that connection by hand — a hand-written JSON schema, a loop that dispatches on block.name. LLM Frameworks vs. the Raw SDK in Python showed LangChain’s @tool turning a plain function into that same schema via bind_tools. Both are still bespoke: the tool lives inside one process, wired to one agent, in one language.