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Integrates with OpenRouter's vision models to enable image analysis and content extraction through natural language queries.

This MCP server, developed by CatalystNeuro, provides image analysis capabilities using OpenRouter's vision models, particularly Claude-3 variants. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a streamlined interface for AI agents to analyze images through natural language queries. The implementation focuses on ease of use and flexibility, with features like automatic image optimization, configurable model selection, and detailed error handling. It's particularly useful for developers and researchers working with visual data, enabling use cases such as content moderation, data extraction from images, and automated image captioning without directly interacting with the OpenRouter API.