Omni MCP Server

Connect Omni to Claude, Cursor or any other MCP client and it stops being a tab you switch to. An MCP server for automatic license plate recognition. The omni mcp server is what makes that connection.

What the server does

• Decoupling. — Your main application can be in any programming language. It doesn't need to be tangled up with Python
• Multiple Interfaces. — You aren't locked into one way of communicating. You can use a standard REST API from any
• Ready-to-Deploy. — You don't have to build it from scratch. There are pre-built Docker images that are easy to
• Hardware Acceleration. — The server is optimized for the hardware you have. It supports generic CPUs (ONNX), Intel
• Asynchronous I/O. — It's built on Starlette, which means it has high-performance, non-blocking I/O. It can handle
• Scalability. — Because it's a separate service, it can be scaled independently of your main application. If you

Installation

The server ships on PyPI as omni-lpr, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• list_models — Lists the available detector and OCR models
• recognize_plate — Recognizes text from a pre-cropped license plate image
• detect_and_recognize_plate — Detects and recognizes all license plates in a full image
• recognize_plate_from_path — Recognizes text from a pre-cropped license plate image at a given path
• detect_and_recognize_plate_from_path — Detects and recognizes plates in a full image at a given path
• Quickstart — You can get started with Omni-LPR in a few minutes by following the steps described below
• Usage — Omni-LPR exposes its capabilities as "tools" that can be called via a REST API or over the MCP
• Integration — You can connect any client that supports the MCP protocol to the server. The following examples show how to use the server with [LM
• Documentation — The Documentation tool exposed by this server
• Examples — Check out the examples directory for usage examples
• Contributing — Contributions are always welcome! Please see CONTRIBUTING.md for details on how to get started
• Acknowledgements — The Acknowledgements tool exposed by this server

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 12 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Omni.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Omni's toolset — list_models, recognize_plate, detect_and_recognize_plate and 9 more — is a fair guide to whether it matches your workflow. It is maintained by habedi; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.