What methods does RapidOCR MCP Server provide?
It provides `ocr_by_content` (for base64-encoded image data) and `ocr_by_path` (for an image file path). Both return a list of recognized text.
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Basic information
A MCP server based on RapidOCR, providing an easy-to-use OCR interface.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"rapidocr-mcp": {
"command": "uvx",
"args": [
"run",
"rapidocr-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A MCP (Model Context Protocol) server based on RapidOCR that provides an easy-to-use OCR (Optical Character Recognition) interface. It allows large language models to extract text from images by exposing two OCR methods.
Run the server with uvx run rapidocr-mcp. Configure it in your MCP client using the provided JSON block with command: "uvx" and args: ["rapidocr-mcp"]. No additional environment variables are needed.
ocr_by_content and ocr_by_path.TextContent objects with recognized text.uvx with no extra configuration.It provides `ocr_by_content` (for base64-encoded image data) and `ocr_by_path` (for an image file path). Both return a list of recognized text.
Run `uvx run rapidocr-mcp` in your terminal. No separate installation step is required—uvx handles it.
The README notes that large language models are becoming increasingly powerful and generally possess multimodal abilities, but this server offers a dedicated OCR interface for cases where you prefer a separate, focused tool.

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