Layout Detector MCP
Related Servers
Alternatives to Layout Detector MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceAnalyzes and extracts design tokens, assets, and layout from live websites to enable AI clients to faithfully replicate them, with tools for screenshotting, component inspection, and pixel-diff verification.148 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to see, analyze, and visually verify web page changes through pixel-perfect diffing, theme extraction, layout analysis, and interactive element detection.19 npmMIT
- AlicenseNot gradedqualityBmaintenanceEyes for text-only LLMs: decodes screenshots into exact structured text (words, coordinates, sizes, colors) using pure-code CV and OCR. Enables text-only models to reason about UI layouts without vision models or VRAM usage.2MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI-powered visual analysis of webpages for UI/UX assessment, including screenshot capture, element detection, accessibility auditing, and comprehensive JSON reporting.1-
- AlicenseNot gradedqualityBmaintenanceMCP-first UI/UX review layer for AI-generated frontends. Enables reviewing web pages via URL, capturing screenshots, extracting layout metrics, and generating structured repair plans for agents.22 npmApache 2.0
- AlicenseAqualityDmaintenanceEnables AI assistants to capture screenshots of web pages using automated browser sessions. Supports full-page and element-specific screenshots, device simulation, and JavaScript execution for comprehensive web testing and monitoring.65 npmMIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no ambiguity. analyze_layout focuses on layout analysis and pattern detection, find_assets_in_screenshot handles asset location via template matching, and get_screenshot_info provides basic image metadata. The descriptions clearly differentiate their functions, preventing misselection.
All tool names follow a consistent verb_noun pattern with snake_case throughout (analyze_layout, find_assets_in_screenshot, get_screenshot_info). The naming is predictable and readable, using descriptive verbs that align with each tool's action.
With 3 tools, the count is slightly low but reasonable for the server's purpose of layout detection and screenshot analysis. Each tool earns its place by covering distinct aspects (layout analysis, asset finding, metadata retrieval), though a few more tools might enhance coverage without feeling heavy.
The tool set covers core operations for layout detection and screenshot analysis, including analysis, asset location, and metadata retrieval. Minor gaps exist, such as no tools for modifying or generating layouts, but agents can work around this with the provided structured data for rebuilding layouts.