# Plate Recognizer — MCP server on 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.

By: mcp.ai · official
Page: https://mcp.ai/platerecognizer

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_platerecognizer?ms=1787296020000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/platerecognizer/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/platerecognizer/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/platerecognizer/skill.md
Postman collection (v2.1): https://mcp.ai/platerecognizer/postman.json

## Tools
- platerecognizer_read_license_plate(mmc?: boolean, config?: object, upload?: object|string, regions?: string[], camera_id?: string, direction?: boolean, timestamp?: string, upload_url?: string) — 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
- 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"

## Links
Docs: https://mcp.ai/docs/mcps/platerecognizer
Website: https://mcp.ai/mcps/platerecognizer