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Glama

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Alternatives to AI Design Blueprint

  • A
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    quality
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    A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.
    8
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    Gives coding agents real product screens to ground UI work: it returns inline screenshots of real interfaces, recorded design references covering colors, typography, components and provenance, and licensed fonts or animated icons. It also serves bundled skill documents, command playbooks as prompts, and token-free connection diagnostics.
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  • A
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    The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.
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    Enables AI agents to browse and interact with web pages through a token-efficient, structured page representation — orientation summaries, targeted element queries, and full detail only on request — instead of raw accessibility-tree dumps. Supports navigation, interaction, forms, screenshots, console and network monitoring, session/tab management, and browser-based development auditing.
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  • A
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    Enables AI tools to browse, search and fetch design checklists, turn a plain-English brief into a merged project checklist or build-ready design brief, and review a screen against a structured PASS/FAIL/N/A rubric. Also exposes checklist resources and design-review prompts so agents can ground accessibility and UX guidance in real data.
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TDQS

A4.3/5.0

Scored across 29 tools

Disambiguation4/5

Tools are cleanly separated by domain namespaces (examples, principles, clusters, guides, architect, design, spec, me, handoffs), and each tool targets a distinct resource or action. The only mild ambiguities are signals.feedback vs signals.report and the three search tools, but their descriptions clearly delineate when to use which.

Naming Consistency4/5

The dominant pattern is <domain>.<action> in snake_case (examples.get, principles.search, architect.validate), which is predictable and readable. Minor deviations include me.sessions (plural noun), signals.feedback/report (noun forms), and handoffs.operator/partnership/agency (category nouns), but these do not seriously undermine consistency.

Tool Count2/5

At 29 tools, the server exceeds the 25+ threshold for 'too many' and spans ten distinct namespaces, making the surface heavy for a single MCP server. Each tool has a legitimate purpose, but the count will feel overwhelming, especially with many tools gated behind Pro/Teams plans.

Completeness4/5

The doctrine discovery surface (principles, clusters, examples, guides, assets), all three validation lenses, coaching/learning progress, session history, and human handoffs are well covered. Obvious gaps include the lack of consensus and certification modes for design.validate and spec.validate, and no MCP-side session creation, but these are documented as v1 limitations or web-app responsibilities.

Maintenance

ActivityMaintained
ResponsivenessNo issues