About Vincario Vehicle Data
Vincario Vehicle Data is an MCP server for AI clients that need vehicle information from the Vincario API. It provides VIN decoding, stolen-vehicle checks, and market valuations through tools over streamable HTTP.
Key features
- 01Detailed VIN decoding
- 02List available VIN fields
- 03Check stolen vehicle databases
- 04Estimate vehicle market value
- 05Accept odometer input for valuations
Use cases
- 01Retrieve specifications for a vehicle from its VIN
- 02Check whether a vehicle is listed as stolen
- 03Estimate a vehicle’s market value with mileage
MCP support
Exposes Vincario API operations as tools for MCP clients, using streamable HTTP transport. Requests require a Vincario API key in the X-API-Key header.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.vincario.com/mcpclaude mcp add --transport http MCP-vincario https://mcp.vincario.com/mcp{"mcpServers":{"MCP-vincario":{"type":"http","url":"https://mcp.vincario.com/mcp"}}}Open in Cursor{"servers":{"MCP-vincario":{"type":"http","url":"https://mcp.vincario.com/mcp"}}}Open in VS Code{"mcpServers":{"MCP-vincario":{"type":"http","url":"https://mcp.vincario.com/mcp"}}}{"mcpServers":{"MCP-vincario":{"serverUrl":"https://mcp.vincario.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| vin | string | Yes |
Details
From the project READMEVincario MCP Server
An MCP (Model Context Protocol) server that exposes the Vincario API to AI agents and LLM clients. Enables AI assistants to decode VINs, check stolen vehicle databases, and retrieve market valuations through natural language.
Tools
| Tool | Description |
|---|---|
vin_decode | Decode a VIN and return detailed vehicle information |
vin_decode_info | List available fields for a given VIN (free endpoint) |
stolen_check | Check if a VIN appears in stolen vehicle databases |
vehicle_market_value | Get market valuation for a vehicle (supports odometer input) |
Requirements
- Vincario API key — passed via
X-API-KeyHTTP header - Docker (recommended), or Python 3.11+ with uv
Running with Docker
docker build -t vincario-mcp .
docker run -p 8080:8080 vincario-mcp
The server starts on http://localhost:8080.
Running locally
pip install uv
uv sync
uv run main.py
Connecting to an MCP client
Pass your Vincario API key as an HTTP header with each request:
X-API-Key: your_api_key_here
Claude Code
Add to your MCP config (.mcp.json or claude_desktop_config.json):
{
"mcpServers": {
"vincario": {
"type": "http",
"url": "http://localhost:8080",
"headers": {
"X-API-Key": "your_api_key_here"
}
}
}
}
Hosted endpoint
If connecting to the hosted server at https://mcp.vincario.com/mcp, replace the URL accordingly.
Example usage
Once connected, you can ask your AI assistant:
- "Decode VIN WBAFR9C54BC780006"
- "Is this vehicle stolen? VIN: WBAFR9C54BC780006"
- "What is the market value of VIN WBAFR9C54BC780006 with 85000 km?"
Transport
The server uses streamable HTTP transport (stateless_http=True), which means no persistent session is required. Each request is independent, making it straightforward to deploy behind a reverse proxy or load balancer.
For HTTPS deployment, place a reverse proxy (nginx, Caddy, Cloudflare) in front of the server — the application itself runs on plain HTTP port 8080.
License
See Vincario API Terms of Service for usage terms.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.