CarAPI MCP. Find any car, by its exact specs.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
CarAPI lets you search a database of 66,000+ vehicles using natural language. You can narrow searches by year, make, model, trim, and specific mechanical details like engine type or body style.
It returns full specs including MSRP, fuel economy, transmission info, and dimensions for deep comparison shopping.
What your AI agents can do
Get bodies
Retrieves the full list of available body styles for filtering car searches (sedan, SUV, truck, etc).
Get drives
Gets a definitive list of vehicle drive types like FWD or AWD.
Get engines
Provides a master list of engine specifications and types for filtering vehicles by power source.
Find vehicles across 66k+ listings using year, make, model, or body type.
Limit searches to specific engine types, transmission systems, or drive types (FWD, AWD).
Fetch lists of all available car manufacturers, models, and years for quick reference.
Get complete specs, including MSRP, fuel economy ratings, and dimensions, for any single vehicle listing.
Access definitive lists of body styles, engine types, or drive configurations to ensure accurate filtering.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
CarAPI: Your Automotive Data Hub (8 Tools)
These eight tools allow your agent to query every part of the vehicle database—from manufacturer lists down to specific engine types—to build complex reports.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using CarAPI on Vinkius019d8422get bodies
Retrieves the full list of available body styles for filtering car searches (sedan, SUV, truck, etc).
019d8422get drives
Gets a definitive list of vehicle drive types like FWD or AWD.
019d8422get engines
Provides a master list of engine specifications and types for filtering vehicles by power source.
019d8422get makes
Returns all car manufacturers, optionally filtered by a specific year.
019d8422get models
Gets available car models under a chosen manufacturer and year.
019d8422get transmissions
Retrieves the complete list of transmission types (manual, automatic, CVT).
019d8422get vehicles
Searches and returns detailed information on specific vehicles using multiple filters like year, make, model, and specs.
019d8422get years
Fetches all available years in the database to narrow down search results.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with CarAPI, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CarAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The old way of finding car specs is tedious clicking.
Today, comparing vehicles means opening ten different manufacturer websites. You click on the year, then the make, then scroll through model variations to find the right trim. Then you have to switch tabs to check the engine specs and finally open another tab just for MSRP.
With this MCP, your agent takes over that whole process. You tell it what you want—say, 'I need all 2023 electric SUVs.' The system handles all those clicks behind the scenes, giving you a clean, structured list with everything you need in one go.
Get Vehicle Data using get_vehicles
You used to copy engine specs from one sheet and paste them into another for comparison. If the data point was missing, your whole spreadsheet broke. It's a mess of manual cleanup.
Now you ask your agent directly. The system pulls all necessary attributes—engine size, MSRP, fuel economy—and delivers it in a single, reliable payload. You get accurate data on demand.
What you can do with this MCP connector
This MCP connects your AI client to a massive vehicle database. Instead of clicking through dozens of filter menus, you just talk to it. Your agent figures out the complex data queries—like finding all electric SUVs from 2024 with a specific range—and pulls back structured data instantly.
Need to build an app or run inventory checks? You can get lists of available car manufacturers and model lines first. Then, you drill down into specifics like transmissions or engine types to filter the results further. The entire process is managed by Vinkius; credentials pass through a zero-trust proxy so your API keys never sit on a disk.
This means you can trust the data flow while building powerful automations. You get detailed specs, pricing, and full vehicle profiles—all without leaving your agent environment.
019d8422-e968-720c-b585-e34fe6cff02f 
How CarAPI MCP Works
- 1 Subscribe to this MCP and input your CarAPI key into the Vinkius platform.
- 2 Tell your AI agent what you're looking for (e.g., 'Find all trucks from 2020 with a V6 engine').
- 3 The agent executes the necessary lookups, compiling filtering data to return structured vehicle details.
The bottom line is that your AI client handles the complex database logic, letting you focus only on the car results.
Who Is CarAPI MCP For?
Anyone who deals with vehicles—dealership staff, auto researchers, or consumers doing serious comparison shopping. If manual data collection from multiple sources is your daily routine, this MCP changes that.
Using the tool to quickly verify specs and pricing details for new arrivals before they hit the floor model list.
Gathering comparative data across multiple manufacturers (e.g., Honda vs Toyota) to write detailed, accurate buyer guides.
Integrating vehicle attribute lists into a custom comparison tool or internal web app schema.
What Changes When You Connect
- Compare models quickly: Instead of searching step-by-step, your agent handles the logic to compare vehicles from different manufacturers using
get_vehiclesand specific filters like body style or engine type. - Build structured data sets: Use
get_makes, followed byget_models, then narrow down withget_yearsto create a perfectly defined list of cars for your application's database schema. - Deep dive into specs: Get the full picture on any car, including MSRP and dimensions. You don't need to manually cross-reference engine options; just ask the agent.
- Master the filters: Need assurance that you're only comparing manuals? Use
get_transmissionsfirst, then filter your main search with the results to avoid bad data. - Automate research reports: Combine this MCP's vehicle data with another service—say, a messaging tool—to automatically draft and send comparison emails to clients.
Real-World Use Cases
Comparing Luxury SUVs
A buyer asks, 'Show me all 2024 AWD SUVs with V8 engines.' The agent uses get_bodies to confirm 'SUV', then filters the search using get_engines and get_drives before calling get_vehicles for the final specs.
Building a Database Schema
A developer needs all possible car manufacturers. They first run get_makes, then iterate through them using get_models to build a complete, structured list of every vehicle type they need to track.
Validating Vehicle Options
A dealer wants to know what body types are possible for the 1995 model year. They use get_years and then check get_bodies against that year's results, ensuring they only list valid options.
Historical Data Mining
A researcher needs to know what engine types were available for popular cars between 1990 and 2000. They use get_engines and cross-reference it with the date range provided by get_years.
The Tradeoffs
Over-filtering complexity
Trying to list every single combination of engine, transmission, and body type manually in a complex chain of calls.
→
Start with the main search tool. Pass broad criteria like year and make to get_vehicles. Let the MCP handle the filtering logic internally instead of forcing it through separate lookups.
Forgetting foundational data
Asking for a model name without first confirming if that manufacturer actually exists in the database.
→
Always start by calling get_makes to confirm the existence of the car company before attempting to look up specific models or vehicles.
Assuming completeness
Believing that just knowing a body type is enough. The data might be limited to certain years.
→
Always validate your inputs using the dedicated reference tools: get_bodies, get_drives, or get_transmissions before running the main search.
When It Fits, When It Doesn't
Use this MCP if you need detailed, structured data on vehicle specs, pricing, and model variations. You're comparing cars, building a database schema for auto parts, or generating content about car history. Don't use it if you just need general market trends or sales figures that don't relate to physical vehicle attributes. If your goal is simply 'How many new cars were sold last quarter?'—you need a different metrics-based service, not this data lookup tool.
Common Questions About CarAPI MCP
How do I find the body types available? (get_bodies) +
Use the get_bodies tool to fetch a master list of all recognized vehicle body styles, like 'Sedan' or 'Truck'. This ensures your search filters are using valid terminology.
Can I find cars by year? (get_vehicles) +
Yes. The get_vehicles tool accepts the year as a primary filter, allowing you to limit searches instantly to a specific time period.
What are the different engine types? (get_engines) +
The get_engines tool provides a complete reference list of every available engine type in the database. This is crucial for filtering by power source or size.
How do I get model names? (get_models) +
Call get_models, making sure to include the make and year. It returns a precise list of models that exist together in time and region.
How do I connect my AI client to use `get_vehicles`? +
You subscribe to this MCP on Vinkius and pass your API key through your preferred AI client. Once connected, your agent can access the full vehicle database instantly.
What data do I get when running `get_makes`? +
The tool returns a list of all available car manufacturers and their corresponding IDs. This lets you build targeted queries or check if a specific brand is in the system.
Can I use `get_vehicles` to filter by multiple criteria, like body type and engine? +
Yes, you can combine filters for precise searches. You pass parameters for body type, make, year, and engine in a single call to narrow down the 66,000+ records.
What is the scope of the list provided by `get_drives`? +
The get_drives tool provides all recognized vehicle drive types. This reference list ensures that any filter you apply to a search query uses valid, up-to-date values.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.