Logo
Automatically identifies, extracts, and optimizes logo icons from websites using advanced recognition and selection algorithms.
Acerca de
Logo is an intelligent system designed to automatically identify and extract high-quality logo icons from any website. Built on the Model Context Protocol (MCP), it employs a sophisticated recognition engine that analyzes HTML link tags (favicon, icon), Apple Touch Icons, OpenGraph protocol images, page image elements, and common favicon paths to find logo candidates. The system then intelligently selects the most visually representative version based on a comprehensive scoring system that considers factors like size, format (prioritizing SVG), and source, ensuring optimal results for various applications. It also provides AI optimization and robust error handling.
Características Principales
- Smart selection of the best logo among multiple candidates based on a comprehensive scoring system.
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- Robust error handling mechanisms including network timeouts, redirect tracking, and image format validation.
- Extensive format support for input (PNG, JPG, SVG, ICO, WebP, GIF) and output (PNG, SVG) with AI optimization.
- Intelligent recognition of logos from diverse sources (HTML link tags, Apple Touch Icons, OpenGraph, page elements, common paths).
- Provides two distinct MCP tools: `extract_logo` for direct logo retrieval and `analyze_logo_candidates` for detailed candidate analysis.
Casos de Uso
- Programmatically extracting high-quality website logos for directories, aggregators, or internal tools.
- Analyzing all potential logo candidates on a website to understand their properties, scores, and the recommended best option.
- Integrating automated logo extraction and optimization capabilities into other services or applications via an MCP server.
