Logo MCP
Related Servers
Alternatives to Logo MCP
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceEnables searching for company logos by brand name and retrieving customizable logo image URLs with options for format, size, theme, and greyscale conversion using the Logo.dev API.2-
- AlicenseAqualityCmaintenanceEnables looking up company logos and brand data via the logo.dev API.123 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables clients to generate AI logos and full brand kits, create color palettes, SEO meta tags, and JSON-LD schema markup, search design guides, and handle paid logo generation workflows through a hosted streamable-HTTP endpoint.MIT
- AlicenseNot gradedqualityAmaintenanceTurns any URL into structured web intelligence in one call: SEO/OpenGraph metadata, public contacts, tech-stack fingerprinting, Schema.org data, a security-headers audit, and clean AI-ready Markdown. Anti-SSRF hardened by design.10MIT
- AlicenseBqualityNot gradedmaintenanceAn intelligent website logo extraction system built on the Model Context Protocol (MCP) that automatically identifies and extracts logo icons from websites.230 npm1-
- AlicenseNot gradedqualityDmaintenanceExtracts brand identity (colors, typography, spacing) from any website and generates HTML/CSS replicas or applies branding to templates.1MIT
TDQS
Scored across 2 tools
The two tools have significant functional overlap, as both can return the best logo URL. The analyze_logo tool provides broader analysis but includes the best URL functionality, while get_best_logo_url is specifically for that purpose, creating ambiguity about when to use each tool.
Both tools follow a clear verb_noun naming pattern (analyze_logo, get_best_logo_url), which is consistent and readable. The minor deviation is that one uses 'analyze' while the other uses 'get', but this reflects their different primary purposes.
With only 2 tools, the server feels under-scoped for a logo analysis domain. This minimal set lacks operations for common needs like logo validation, format conversion, or batch processing, making it too thin for robust functionality.
The toolset is severely incomplete for logo analysis. It misses essential operations such as logo validation, format conversion (e.g., to PNG/SVG), resizing, color extraction, or batch processing, leaving significant gaps that will limit agent effectiveness.