Skip to main content
Glama
aka-kika

hig-mcp

by aka-kika
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to hig-mcp

No user-submitted related servers found.

    Related Servers

    • web-stylebook-mcp

      seungdori
      A
      license
      A
      quality
      B
      maintenance
      Provides deterministic, read-only design knowledge for AI coding agents to help them choose visual directions, plan UI states, and compose design tokens, all without network access.
      6
      416 npm
      4
      MIT

    • apple-design-mcp

      rncrosby
      A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to search, retrieve, and navigate Apple's Human Interface Guidelines as live Markdown content across all Apple platforms.
      4
      MIT

    • Apple HIG MCP

      yordcode
      A
      license
      A
      quality
      B
      maintenance
      A local MCP server that lets AI coding assistants search Apple's Human Interface Guidelines catalog, fetch individual articles as Markdown, and read community implementation notes for native apps and the web. It enables guideline-grounded design, conversion, and auditing workflows across iOS, iPadOS, macOS, watchOS, tvOS, visionOS, and web platforms.
      6
      363 npm
      1
      MIT

    • PaletteGet MCP Server

      yang7206
      A
      license
      A
      quality
      B
      maintenance
      Lets AI coding tools look up real color palettes—role colors, measured WCAG contrast ratios, and paired usage advice—for App, Web, and Mini App UIs, and export them as ready-to-paste CSS custom properties. It searches a library of 90 palettes by platform, tag, or keyword in English or Chinese, so models stop inventing hex values.
      4
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.9/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool has a distinct focal point: prose fetching, SwiftUI component-to-API mapping, Liquid Glass material guardrails, and design tokens. However, hig_fetch and hig_get_tokens both retrieve HIG reference data, and hig_swiftui returns token refs too, so an agent could occasionally conflate them when a request spans prose and tokens.

    Naming Consistency4/5

    All tools share a clean 'hig_' prefix, and three use verb_noun style (fetch, check_liquid_glass, get_tokens). hig_swiftui deviates as a noun-only label, and fetch/get are near-synonyms, but overall the pattern is predictable and readable.

    Tool Count4/5

    Four tools map cleanly onto four distinct concerns (prose, SwiftUI mapping, materials, tokens), so each earns its place with no redundancy. It sits slightly on the lean side for a design-system reference server but is well-scoped for its purpose.

    Completeness3/5

    The surface covers prose, tokens, SwiftUI, and Liquid Glass guidance, which is solid core coverage. But it lacks UIKit/AppKit component mappings, only 14 components are mapped, and there is no search or version-scoped lookup, leaving notable gaps for broader design-guideline queries.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources