What specific functionalities does Logo offer?

It provides two distinct tools: `extract_logo` for direct logo retrieval from a URL and `analyze_logo_candidates` for detailed analysis of all potential logo options found on a website.

What is Logo and what does it do?

Logo is an intelligent, AI-powered system designed to automatically identify, extract, and optimize logo icons from websites using advanced recognition and selection algorithms.

How does Logo ensure the best logo is selected?

Logo employs a smart scoring system that evaluates candidates based on size, format (prioritizing SVG), and source, ensuring the most visually appropriate logo is chosen from multiple options.

Can Logo optimize and convert logo formats?

Yes, Logo supports various input formats (PNG, JPG, SVG, ICO, WebP, GIF) and outputs AI-optimized PNG and SVG files, ensuring high-quality results.

How does Logo identify website logos?

It intelligently recognizes logos from diverse sources, including HTML link tags (favicons), Apple Touch Icons, OpenGraph images, page elements, and common favicon paths.

Logo

Name: Logo
Author: xtdexw

byxtdexw

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Developer Tools

API Development

Web Scraping & Data Collection

Automatically identifies, extracts, and optimizes logo icons from websites using advanced recognition and selection algorithms.

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.

Key Features

01Smart selection of the best logo among multiple candidates based on a comprehensive scoring system.

020 GitHub stars

03Robust error handling mechanisms including network timeouts, redirect tracking, and image format validation.

04Extensive format support for input (PNG, JPG, SVG, ICO, WebP, GIF) and output (PNG, SVG) with AI optimization.

05Intelligent recognition of logos from diverse sources (HTML link tags, Apple Touch Icons, OpenGraph, page elements, common paths).

06Provides two distinct MCP tools: `extract_logo` for direct logo retrieval and `analyze_logo_candidates` for detailed candidate analysis.

Use Cases

01Programmatically extracting high-quality website logos for directories, aggregators, or internal tools.

02Analyzing all potential logo candidates on a website to understand their properties, scores, and the recommended best option.

03Integrating automated logo extraction and optimization capabilities into other services or applications via an MCP server.