# Design Constraint Validator MCP Server

> Design Constraint Validator MCP Server — cseperkepapp-design-constraint-validator. Use this tool when you need to validate design system constraints and ensure accessibility and consistency in your designs. It solves problems related to WCAG accessibility, token relationships, and design consistency, providing outputs such as validation results, explanations, and suggested fixes through inputs like design files and constraint rules. It is ideal for use cases where design validation and optimization are crucial, such as during design development and testing phases.

Canonical page: https://skillsregistry.net/skills/cseperkepapp-design-constraint-validator  
JSON: https://api.skillsregistry.net/v1/skills/cseperkepapp-design-constraint-validator

## Description

Enables AI agents to validate design system constraints, including WCAG accessibility, token relationships, and consistency, through MCP tools like validate, explain, and suggest-fix.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kqpce5f5us)
- **Repository:** <https://github.com/CseperkePapp/design-constraint-validator>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cseperkepapp-design-constraint-validator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cseperkepapp-design-constraint-validator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cseperkepapp-design-constraint-validator/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt