What MCP Servers Are and Why They Matter for Developer Tools

MCP (Model Context Protocol) is an open standard by Anthropic that lets AI assistants call external tools through a unified interface. Instead of every AI model inventing its own plugin format, MCP defines one protocol: a client (the AI) discovers available tools from a server (your code), then calls them with structured inputs and gets structured outputs back. This matters because developer tools like screenshot capture, database queries, and deployment scripts can now become AI-callable with a single integration that works across Claude, GPT, and any MCP-compatible client. What Problem MCP Solves Every major AI provider has shipped some version of "function calling" or "tool use." OpenAI has function calling. Anthropic has tool use. Google has function declarations. They all do roughly the same thing: the model generates a structured JSON call, your code executes it, and you feed the result back. The problem is fragmentation. If you build a screenshot tool for Claude's tool use forma