What is the Model Context Protocol (MCP)?

MCP is an open standard introduced by Anthropic that lets AI assistants connect to external tools and data sources through a uniform interface. Every major MCP-compatible client — Claude Desktop, Claude Code, Cursor, ChatGPT, Continue, Zed, and others — can connect to any MCP server, so a tool you write once is usable everywhere.

What does the try.vin MCP server let an AI assistant do?

The try.vin VIN Decoder MCP server gives any MCP client live access to U.S. vehicle data — decode any 17-character VIN into year/make/model/engine via NHTSA's vPIC dataset, and look up open NHTSA safety recalls for any 1981-or-later make/model/year. The tools work in both directions: the AI calls them autonomously, and you can also instruct the AI to call them.

Is the try.vin MCP server free?

Yes — the VIN Decoder MCP server is completely free and requires no authentication. It is rate-limited to a sensible number of requests per minute per IP. If you need higher throughput, the same data is available behind an authenticated REST API at /api-docs.

Which AI clients can connect to this MCP server?

Any MCP-compatible client that supports HTTP/Streamable transport: Claude Desktop, Claude Code, Cursor (via the MCP integration), ChatGPT (via custom MCP connectors), Continue, Zed, and any custom Anthropic SDK or OpenAI Responses API integration. The detail page for each server shows the exact install snippet for the most common clients.

How is an MCP server different from a REST API?

A REST API is for software you write yourself — you implement the HTTP calls. An MCP server is a contract specifically designed for AI assistants — it advertises its tools, input schemas, and output schemas in a way the AI can discover and call autonomously. The same vehicle data backs both surfaces; pick the one that matches how you're building.

Are more MCP servers planned?

Yes. The VIN Decoder is the first server. Coming next are servers for U.S. lemon-law guidance, DMV office lookup, and an AI photo condition inspection that returns structured findings on visible damage, rust, paint mismatch, and tire wear.

What data does the VIN decoder return?

The decode_vin tool returns model year, manufacturer (make), model name, trim, series, engine displacement in liters, engine model code, and country of vehicle assembly — sourced directly from NHTSA. Fields are nullable when NHTSA does not report a value (this is normal for older or low-volume vehicles).

Model Context Protocol

MCP servers for cars

Free Model Context Protocol servers from try.vin that give Claude, Cursor, ChatGPT, and any other MCP-compatible AI assistant live access to U.S. vehicle data — VIN decoding, NHTSA recalls, and more, with zero glue code.

One protocol, every client

Works in Claude Desktop, Claude Code, Cursor, ChatGPT, Continue, Zed — anywhere MCP runs.

Free & rate-limited

No API key, no signup. Need higher throughput? The same data is available via the authenticated REST API.

Read-only & agent-safe

Tools are pure lookups — no writes, no side effects. Safe for autonomous agents triaging used-car listings at scale.

Available servers

1 server live today, more on the way.

try.vin VIN Decoder

Live

Decode any 17-character VIN and look up NHTSA recalls — straight from chat.

A free Model Context Protocol server that gives any MCP-compatible AI client (Claude Desktop, Claude Code, Cursor, ChatGPT, Continue) live access to U.S. vehicle data. Two tools: decode_vin (NHTSA vPIC) and lookup_recalls (NHTSA campaigns).

Tools: 2
Transport: HTTP (Streamable)
Auth: None — public, rate-limited

vehicles

vin

recalls

nhtsa

cars

auto

https://try.vin/mcp/vin

Install & docs

What is MCP?

The Model Context Protocol is an open standard from Anthropic that lets AI assistants connect to external tools and data through a uniform interface. An MCP server advertises its tools, input schemas, and output schemas. Any MCP-compatible client — Claude Desktop, Claude Code, Cursor, ChatGPT, Continue, Zed — can discover and call them autonomously, with no glue code on your side.

try.vin runs MCP servers so you can ask any AI assistant to decode a VIN, look up open NHTSA recalls, or vet a used-car listing without leaving the chat. It's the same data that powers the free VIN check and recall lookup on this site — repackaged for AI-native workflows.

Three steps to install

1
Pick a server
Open a server detail page below to see its tools and copy-paste install snippets for every common AI client.
2
Paste the snippet
Add the MCP server to your client's config. No API key required for the public servers.
3
Restart and test
Restart the client. The new tools appear in the picker — try them with a sample prompt and you're done.

Frequently asked questions

Building software, not chatting?

The same vehicle data is available via an authenticated REST API.

REST API docs