About ddddocr CAPTCHA Recognition Server
ddddocr CAPTCHA Recognition Server is an MCP server published by ymeng98 in the Blockchain category: recognize and analyze CAPTCHA images with high accuracy using advanced OCR, object detection, and slider matching capabilities. Enhance your AI toolchain with fast, ONNX-powered CAPTCHA recognition services. Seamlessly integrate CAPTCHA solving into your applications via a fully MCP-compatible server.
The repository has 4 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/ymeng98/ddddocr-captcha-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (4)
detect_objectsDetect target objects in CAPTCHA images
Parameters not published.
health_checkCheck ddddocr service health status
Parameters not published.
match_sliderMatch slider CAPTCHA position
Parameters not published.
ocr_recognizeRecognize text content from CAPTCHA images
Parameters not published.
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README
ddddocr CAPTCHA Recognition MCP Server
A powerful MCP server for CAPTCHA recognition using ddddocr library, providing advanced text OCR, object detection, and slider matching capabilities.
Features
- 🔤 Text OCR Recognition - Recognize text content from CAPTCHA images
- 🎯 Object Detection - Detect target objects in CAPTCHA images
- 🔄 Slider Matching - Match slider CAPTCHA positions with high accuracy
- ⚡ High Performance - Built on ONNX runtime for fast processing
- 🔌 MCP Compatible - Fully compatible with Model Context Protocol
Installation & Usage
From Smithery (Recommended)
- Visit Smithery.ai
- Search for "ddddocr-captcha-recognition-ymeng98"
- Install with one click to your AI toolchain
Local Development
# Clone and setup
git clone <repository-url>
cd ddddocr-captcha
npm install
# Install Python dependencies
pip install -r requirements.txt
# Run development server
npm run dev
Tools Available
ocr_recognize
Recognize text content from CAPTCHA images.
Parameters:
image_base64(optional): Base64 encoded image dataimage_path(optional): Path to image file
detect_objects
Detect target objects in CAPTCHA images.
Parameters:
image_base64(optional): Base64 encoded image dataimage_path(optional): Path to image file
match_slider
Match slider CAPTCHA position.
Parameters:
target_base64(optional): Target image base64 encodedbackground_base64(optional): Background image base64 encodedtarget_path(optional): Target image file pathbackground_path(optional): Background image file path
health_check
Check ddddocr service health status.
Technical Stack
- Core Recognition: ddddocr library
- Image Processing: OpenCV, Pillow
- Protocol: Model Context Protocol (MCP)
- Runtime: TypeScript (Node.js) + Python backend
- Models: ONNX-based neural networks
License
MIT License
Support
For issues and questions, please visit our GitHub repository or contact the maintainer.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.