What is MCP?
The plug that lets an AI agent use a piece of software. One page, no jargon.
MCP, the Model Context Protocol, is how an AI agent uses software. It's a shared way for an assistant like ChatGPT or Claude to ask a tool "what can you do?", read its data, and take actions in it, such as checking inventory or booking a service slot.
Think of it as USB-C for AI. Before USB-C, every device had its own cable. MCP does the same job for agents and software: a tool that speaks MCP works with any agent that speaks MCP, without a custom integration for each pairing.
Who's behind it
MCP started at Anthropic and is now a Linux Foundation project. OpenAI, Google, Microsoft and AWS support it, and ChatGPT, Claude and the major agent platforms already speak it. It isn't a bet on one company. It's the plumbing the whole AI industry settled on.
What an MCP server is
When a vendor "has an MCP", they run an MCP server: a small layer on top of their product that describes its tools in a way agents understand. For a dealer tool, that might be:
- Inventory: search vehicles, get a vehicle by VIN, check what's on the lot.
- Service: see open appointment slots, book one.
- CRM: look up a lead, log a note, see open opportunities.
If a vendor already has an API, an MCP server is a thin layer on top of it. Days of work for one area, not quarters.
Why it matters to a dealership
Your customers are starting to shop, compare and book through AI agents. When an agent arrives at your store, it can only do what your tools let it do. A tool without an MCP is invisible to that agent. A tool with a well-built one can answer questions, price a payment and book the appointment.
That's the whole idea behind AutomotiveMCP: every tool in the dealership, ready for AI agents.
Where to go next
- Why it matters: what happens if dealer tools stay closed.
- For dealers: what to ask the vendors you already pay.
- Agent-ready directory: which dealer tools have an MCP today.