# Plate Recognizer — how to use (mcp.ai)

Connect your Plate Recognizer account and use 2 tools for artificial intelligence straight from your AI agent. Connect with your own API key. Plate Recognizer offers Automatic License Plate Recognition (ALPR) solutions for processing images and videos to detect and decode vehicle license plates.

## Option A — via MCP (recommended)
Remote MCP endpoint (HTTP, streamable): `https://api.mcp.ai/p_platerecognizer?ms=1787295780000`
Add it as a custom/remote MCP connector in your client (Claude, Cursor, VS Code…), then authenticate when prompted. Once connected, ask the agent to use the server's tools (e.g. `platerecognizer_read_license_plate`).

## Option B — via direct REST API
Base URL: `https://api.mcp.ai/api/platerecognizer`
Auth: `Authorization: Bearer sk_live_…` — create a workspace API key at https://mcp.ai/settings/api-keys
Discover endpoints: `GET https://api.mcp.ai/api/platerecognizer/_endpoints`

### Endpoints
- `POST https://api.mcp.ai/api/platerecognizer/read/license/plate` — Tool to read license plates from images with confidence scores and optional vehicle details. Use when you need to extract license plate text, region information, or analyze vehicle attributes from ima
  - body: { mmc?: boolean, config?: object, upload?: object|string, regions?: string[], camera_id?: string, direction?: boolean, timestamp?: string, upload_url?: string }
- `POST https://api.mcp.ai/api/platerecognizer/snapshot/get/statistics` — Tool to retrieve usage statistics for the current month's Snapshot API recognition calls. Use after making Snapshot API calls to monitor monthly usage.

## Example prompts
- "What can I do in Plate Recognizer?"
- "Show me a summary of my Plate Recognizer account"

## More
- Page: https://mcp.ai/platerecognizer
- Agent spec (llms.txt): https://mcp.ai/platerecognizer/llms.txt
- Postman collection: https://mcp.ai/platerecognizer/postman.json