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Recognize vehicle license plates automatically through an MCP server.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.habedi/omni-lpr" MCP server from askskill:
Run: claude mcp add --transport http 'io-github-habedi-omni-lpr' 'https://{baseUrl}/mcp/'Use omni-lpr to recognize all license plates in this parking lot image and return readable text results.
A list of detected license plate numbers from the image for registration or verification.
Call omni-lpr on this surveillance footage, recognize the license plates that appear, and organize them in time order.
Text output of license plates appearing in the clip, useful for follow-up review.
Use omni-lpr to batch-recognize license plates in the vehicle photos in this folder and compile a list.
A consolidated license plate recognition result set for further analysis or export.
Developers can connect this MCP tool to AI assistants or automation flows so the model can call license plate recognition directly on images or video. It fits scenarios where recognition results need to be passed to downstream systems.
Researchers or operations staff can use it to extract plate text from collected media and reduce manual frame-by-frame review. It is suitable for workflows that combine automatic recognition with later human verification.
This is an MCP server for automatic license plate recognition. Its core capability is recognizing vehicle plate information from provided inputs.
The provided material only states that it offers automatic license plate recognition and does not specify input formats or output fields. For details, see the source repository.
No installation or configuration documentation was provided here, so the exact steps cannot be confirmed. Please see the source repository.
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