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RapidOCR
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6 months ago
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2 months ago
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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"z4none-rapidocr-mcp": {
"command": "uvx",
"args": [
"rapidocr-mcp"
]
}
}
}The RapidOCR MCP Server exposes OCR capabilities as an MCP service, enabling clients to submit images for text extraction through simple endpoints that accept image content or file paths.
How to use
You interact with the RapidOCR MCP Server through your MCP client by calling two endpoints. Use ocr_by_content to send raw image data as base64 and receive a list of detected text pieces. Use ocr_by_path to point to an image file on the server or accessible filesystem and obtain the same text results.
How to install
Prerequisites: ensure you have the required MCP runtime installed on your system. You will run the server using the runtime command shown in the usage example.
- Start the RapidOCR MCP Server by running the following command in your terminal.
uvx run rapidocr-mcp
Configuration and startup details
The MCP configuration for this server specifies the runtime command and arguments you use to start the server. The configuration below is what you place in your MCP config file to run the server.
"rapidocr-mcp": {
"command": "uvx",
"args": [
"rapidocr-mcp"
],
"env": {}
}
Notes
The server exposes two OCR methods: ocr_by_content and ocr_by_path. ocr_by_content accepts base64-encoded image data and returns a list of detected text. ocr_by_path accepts a filesystem path to an image and returns the same type of results.
Be aware that large language models are increasingly capable of recognizing text in images, which may influence how you design your OCR workflows.
Available tools
ocr_by_content
Performs OCR on an image content provided as base64 data and returns a list of detected text content.
ocr_by_path
Performs OCR on an image file specified by path and returns a list of detected text content.