MCP Image Recognition Server
An MCP server that provides image recognition 👀 capabilities using Anthropic and OpenAI vision APIs
What is MCP Image Recognition Server?
what is MCP Image Recognition Server? MCP Image Recognition Server is an MCP server that provides image recognition capabilities using Anthropic and OpenAI vision APIs. how to use MCP Image Recognition Server? To use the server, clone the repository, configure your environment file with API keys, and run the server in development mode or directly. key features of MCP Image Recognition Server? Image description using Anthropic Claude Vision or OpenAI GPT-4 Vision Support for multiple image formats (JPEG, PNG, GIF, WebP) Configurable primary and fallback providers Base64 and file-based image input support Optional text extraction using Tesseract OCR use cases of MCP Image Recognition Server? Describing images for accessibility purposes. Analyzing images for content moderation. Extracting text from images for data entry automation. FAQ from MCP Image Recognition Server? What image formats are supported? The server supports JPEG, PNG, GIF, and WebP formats. Is Tesseract OCR required? Tesseract OCR is optional and only needed if you want to enable text extraction from images. How do I configure the server? You need to set your API keys and preferences in the .env file after cloning the repository.
As an MCP (Model Context Protocol) server, MCP Image Recognition Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP Image Recognition Server
To use the server, clone the repository, configure your environment file with API keys, and run the server in development mode or directly. key features of MCP Image Recognition Server? Image description using Anthropic Claude Vision or OpenAI GPT-4 Vision Support for multiple image formats (JPEG, PNG, GIF, WebP) Configurable primary and fallback providers Base64 and file-based image input support Optional text extraction using Tesseract OCR use cases of MCP Image Recognition Server? Describing images for accessibility purposes. Analyzing images for content moderation. Extracting text from images for data entry automation. FAQ from MCP Image Recognition Server? What image formats are supported? The server supports JPEG, PNG, GIF, and WebP formats. Is Tesseract OCR required? Tesseract OCR is optional and only needed if you want to enable text extraction from images. How do I configure the server? You need to set your API keys and preferences in the .env file after cloning the repository.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP Image Recognition Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Image Recognition Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.