MCP Image Recognition Server
A server that offers advanced image recognition capabilities employing Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats. It features configurable primary and fallback providers, base64 and file input support, and optional OCR for text extraction, making it versatile for developers needing automated image analysis.
Added on:
Created by:
Apr 12 2025
A server that offers advanced image recognition capabilities employing Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats. It features configurable primary and fallback providers, base64 and file input support, and optional OCR for text extraction, making it versatile for developers needing automated image analysis.
Added on:
Created by:
Apr 12 2025
mario-andreschak
Featured
What is MCP Image Recognition Server?
This MCP server facilitates comprehensive image recognition by integrating Anthropic and OpenAI vision APIs. It supports various image formats such as JPEG, PNG, GIF, and WebP, and allows input via base64 encoding or direct file upload. The system can generate detailed descriptions of images, analyze content, and extract text through integrated OCR. Users can configure primary and fallback providers for increased reliability. Suitable for developers requiring automated image analysis, content moderation, or accessibility tools, it offers a robust API and flexible deployment options with Docker and command-line interfaces.
Who will use MCP Image Recognition Server?
- Developers
- Researchers
- AI Enthusiasts
- Content Moderation Teams
- Accessibility Developers
How to use the MCP Image Recognition Server?
- Step1: Clone the repository from GitHub.
- Step2: Configure your environment variables with API keys.
- Step3: Build the project using the provided build script.
- Step4: Start the server with Python or the batch script.
- Step5: Use API tools to send images for recognition and descriptions.
MCP Image Recognition Server's Core Features & Benefits
The Core Features
- Image description using Anthropic and OpenAI APIs
- Support for multiple image formats
- Configurable providers and fallbacks
- Base64 and file input support
- Optional OCR for text extraction
The Benefits
- Accurate and detailed image analysis
- Flexibility in input formats
- High reliability with fallback options
- Enhanced features with OCR
- Easy deployment and customization
MCP Image Recognition Server's Main Use Cases & Applications
- Automated content moderation in social media platforms
- Assisting visually impaired users via descriptive image analysis
- Enhancing image metadata generation for digital asset management
- Automating content labeling in AI datasets
- Educational tools for image content understanding
FAQs of MCP Image Recognition Server
Developer
- mario-andreschak
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