# io.github.habedi/omni-lpr

> Use this tool when you need to automate license plate recognition tasks, such as identifying vehicle plates in images or videos, to solve problems like traffic monitoring, parking management, or access control. It takes image or video inputs and outputs recognized license plate numbers, providing a reliable interface for MCP server integration. Ideal for use cases requiring real-time license plate detection and recognition in various environments.

Canonical page: https://skillsregistry.net/skills/io-github-habedi-omni-lpr  
JSON: https://api.skillsregistry.net/v1/skills/io-github-habedi-omni-lpr

## Description

An MCP server for automatic license plate recognition

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.3.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.habedi%2Fomni-lpr)
- **Repository:** <https://github.com/habedi/omni-lpr>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-habedi-omni-lpr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-habedi-omni-lpr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-habedi-omni-lpr/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt