state-of-ai-in-design-systems.netlify.app WebMCP Tools, Schemas & Agent Capabilities

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state-of-ai-in-design-systems.netlify.app

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A field study of how 21 open-source design systems and 6 platforms make themselves readable to AI agents.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 4 · Act 0 · Transact 0 · Score: Not yet scored

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list_systems

answer imperative

List the 21 design systems surveyed in this report, one compact record each: id, org, category, AI maturity, links, which affordance types it ships, and a one-line summary. Filter first, then call get_system for the full record. Snapshot of 26–28 July 2026. Cite the source_url on each record, not this page.

Page: /

Input schema

Property	Type	Required	Description
`maturity`	string	no	How far the system has gone on AI consumption.
`category`	string	no	—
`has_affordance`	string	no	Only systems shipping at least one affordance of this type.

Raw JSON schema

{
  "type": "object",
  "additionalProperties": false,
  "properties": {
    "maturity": {
      "type": "string",
      "enum": [
        "ai-native",
        "emerging",
        "invested"
      ],
      "description": "How far the system has gone on AI consumption."
    },
    "category": {
      "type": "string",
      "enum": [
        "component-library",
        "design-system"
      ]
    },
    "has_affordance": {
      "type": "string",
      "enum": [
        "agents-md",
        "ai-docs-page",
        "claude-md",
        "claude-skill",
        "cli-scaffolding",
        "codemod-ai",
        "copilot-instructions",
        "cursor-rules",
        "figma-code-connect",
        "llms-txt",
        "mcp-server",
        "other",
        "prompt-library",
        "registry",
        "storybook-integration"
      ],
      "description": "Only systems shipping at least one affordance of this type."
    }
  }
}

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