mcp-claude-design-arabic
Related Servers
Alternatives to mcp-claude-design-arabic
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceMCP server that gives coding agents right-to-left awareness with tools to lint RTL code, normalize Arabic text, and detect text direction.417 npmMIT
- AlicenseAqualityAmaintenanceMCP server for correct Arabic formatting — currency, Hijri dates, number-to-words, RTL fixes and validation across all 22 Arab countries. Zero-dependency.17101 npm3MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that bridges design and code by generating UI components, layouts, and themes from text prompts using v0.dev, with features like code refactoring and accessibility auditing.10 npm1MIT
- FlicenseNot gradedqualityCmaintenanceAn expert design advisor MCP server that researches live discussions, scans project files, and automatically downloads font files for your project setup.9-
- AlicenseAqualityDmaintenanceMCP server for VertaaUX.ai — run UX & accessibility audits, generate fixes, and monitor quality from your LLM or IDE. 38 tools covering the full audit-to-fix lifecycle across 7 UX categories.2946 npmMIT
- FlicenseNot gradedqualityBmaintenanceThis MCP server renders UI design artifacts headlessly, runs deterministic linters, and manages stateful design review loops with an independent vision critic.-
TDQS
Scored across 14 tools
Every unique tool has an exact duplicate with a different name but identical description (e.g., pipeline_design and run_full_design_pipeline). An agent cannot distinguish between them, leading to misselection and confusion. This is the worst possible overlap.
Naming conventions are inconsistent: some tools use verb-first patterns (analyze_arabic_typography, generate_design_tokens) while others are noun-first (arabic_typography, design_tokens). The same functionality uses different naming styles (pipeline_design vs run_full_design_pipeline), making the API unpredictable.
14 tools is within the expected range for a design pipeline server, but the count is inflated by exact duplicates. With only 7 unique tools, the effective surface is well-scoped, though the redundancy makes the actual count slightly higher than ideal.
The unique tools cover the core domain: pipeline execution, audits (visual, accessibility, typography), layout conversion, benchmark evaluation, design agents, and token generation. Minor gaps exist, such as standalone tools for individual pipeline stages, but the pipeline and agent tools provide workarounds.