claude mcp add habedi-omni-lpr -- uvx omni-lpr
{
"mcpServers": {
"habedi-omni-lpr": {
"command": "uvx",
"args": ["omni-lpr"]
}
}
}
{
"mcpServers": {
"habedi-omni-lpr": {
"command": "uvx",
"args": ["omni-lpr"]
}
}
}
{
"mcpServers": {
"habedi-omni-lpr": {
"command": "uvx",
"args": ["omni-lpr"]
}
}
}
About This MCP Server
The omni-lpr server is an implementation of the Model Context Protocol that enables automatic license plate recognition, allowing developers to integrate this functionality into their applications. It connects to other tools and services via streamable HTTP, providing a means to recognize and process license plate information. Developers working on projects that require license plate recognition, such as parking management or traffic monitoring systems, would use this server to leverage its capabilities.
An MCP server for automatic license plate recognition. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the streamable-http transport.
Package
omni-lpr on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the streamable-http transport and is available on pypi.
What tools does it provide?
The omni-lpr server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
