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CI npm License: MIT Agent Skills UI ecosystems MCP

OrchestrUI는 구조화된 프로젝트 프로필을 검사하고, 호환 가능한 소유자를 보존하며, 모든 결정에 대한 근거를 갖춘 허용 가능한 최소 UI 구성을 반환합니다.

빠른 시작

Node.js 20+가 필요합니다. 배포된 읽기 전용 서버를 MCP 호스트에 추가하세요:

{
  "mcpServers": {
    "orchestrui": {
      "command": "npx",
      "args": ["-y", "orchestrui@latest"]
    }
  }
}
git clone --depth 1 https://github.com/ECD5A/OrchestrUI.git
cd OrchestrUI
bash scripts/install-codex.sh
git clone --depth 1 https://github.com/ECD5A/OrchestrUI.git
Set-Location OrchestrUI
powershell -ExecutionPolicy Bypass -File scripts\install-codex.ps1
git clone https://github.com/ECD5A/OrchestrUI.git
cd OrchestrUI
npm ci && npm run check
npm run benchmark

이 스킬들을 프론트엔드 프로젝트에서 사용하세요:

$ui-library-router plan the smallest compatible UI stack.
$ui-orchestrator implement the approved plan.
$ui-quality-audit audit the rendered result.

Related MCP server: UI Design MCP Server

반환 내용

{
  "input_mode": "structured-profiles",
  "selected": ["bklit-ui"],
  "owners": {
    "base-system": "host:shadcn-ui",
    "data-visualization": "bklit-ui"
  },
  "rejected": [{ "id": "daisyui", "rule": "base-system-conflict" }]
}

커밋된 스위트는 CI에서 50/50 구조화 시나리오, 8/8 독립적으로 명세된 적대적 골든, 그리고 세 가지 프로젝트 픽스처를 통과합니다.

스킬 및 MCP

  • ui-library-router — 호스트를 검사하고 역할 소유권을 할당합니다.

  • ui-orchestrator — 승인된 조각들을 하나의 시각적 계약으로 통합합니다.

  • ui-quality-audit — 일관성, 접근성, 반응성, 모션, 성능 및 라이선스를 확인합니다.

  • 읽기 전용 MCP — list_libraries, recommend_stack, get_library_guidance, search_components, get_install_instructions, 및 audit_plan.

npm과 공식 MCP Registry, 그리고 버전별 GitHub Releases를 통해 배포됩니다. 로컬 플러그인 구성은 .mcp.json에 있으며, 설정, 아키텍처, 보안, 라이선스 및 기여에 관한 세부 사항은 docs/, SECURITY.md, THIRD_PARTY.md, CONTRIBUTING.md에 있습니다.

MCP 인터페이스는 읽기 전용이며 공개 업스트림 메타데이터를 사용합니다. 구현 코드와 서드파티 자산은 호스트 프로젝트에 남아 있습니다.

에코시스템

에코시스템

역할

Kokonut UI

React/shadcn 선택적 제품 폴리싱

React Bits

하나의 시그니처 크리에이티브 효과

daisyUI

의도적인 Tailwind 시맨틱 베이스

Bklit UI

차트 및 데이터 시각화

Anime.js

맞춤형 타임라인, SVG 또는 스크롤 모션

Rive

라이선스 기반 인터랙티브 벡터/상태 머신 그래픽

Magic UI

애니메이션 기반 마케팅 강화

OrchestrUI는 독립적이며, 이러한 업스트림 프로젝트들과 제휴하지도 않고 보증을 받지도 않습니다.

지원

OrchestrUI가 여러분의 작업에 도움이 된다면, 지속적인 유지보수를 지원할 수 있습니다:

  • TON: pointoncurve.ton

  • Bitcoin (BTC): 1ECDSA1b4d5TcZHtqNpcxmY8pBH1GgHntN

  • USDT (TRC20): TUF4vPdB6QkjCvZq18rBL4Qj4dK5ihCN75

문의

OrchestrUI, 통합, 컨설팅 또는 협업에 관한 문의가 있으시면:

Available Tools

7 tools
audit_planAudit an OrchestrUI planC
Read-onlyIdempotent

Score a proposed library plan against the nine OrchestrUI quality and licensing categories.

ParametersJSON Schema
NameRequiredDescriptionDefault
verificationsNo
existing_stackNo
rive_asset_rightsNonot-applicable
selected_librariesNo
includes_paid_contentNo
redistributes_react_bitsNo

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description is read-only and idempotent per annotations, and it does not contradict them. It implies a non-destructive analysis action ('score a proposed library plan') without adding extra behavioral context such as side effects, error conditions, or dependencies. Since annotations already cover the safety profile, the description is minimally sufficient but does not disclose anything beyond them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, information-dense sentence with no fluff. It front-loads the core action and object, and every word contributes to the meaning. This is a model of conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with six parameters, including a nested structure (verifications) and multiple enums, the description is far too sparse. It does not clarify the expected format of the 'proposed library plan,' what constitutes a 'score,' or how the nine categories relate to the inputs. While annotations confirm safety, the description lacks crucial operational detail for an agent to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description was expected to compensate by explaining parameters, but it does not mention any of the six parameters (verifications, existing_stack, etc.). The sentence offers no clues about what 'verifications' or 'selected_libraries' mean, leaving the agent without useful semantic grounding for the inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly uses an active verb ('score') targeting a specific resource ('proposed library plan') and specifies the criteria ('nine OrchestrUI quality and licensing categories'). This distinguishes it from sibling tools like list_libraries or get_install_instructions, though it does not explicitly name a sibling for contrast. The purpose is clear and non-tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, exclusions, or references to sibling tools like recommend_stack or search_components. Users are left to infer the tool's role in their workflow without explicit direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_install_instructionsGet install instructionsB
Read-onlyIdempotent

Return an official install command as inert text. This tool never executes shell or package-manager commands.

ParametersJSON Schema
NameRequiredDescriptionDefault
componentNo
library_idYes

TDQS

B3.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds valuable context: the tool returns inert text and never executes shell or package-manager commands. This reinforces the safety profile and goes beyond the annotations. No contradiction exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences and both earn their place. The primary purpose is front-loaded, and the important behavioral safety note is included without filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, read-only tool, the description conveys the essential purpose and safety behavior. However, the lack of parameter explanation, especially for component, and no specification of what 'official install command' looks like in the response make it only minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the lack of parameter documentation. It does not: library_id is somewhat self-explanatory, but component's role is ambiguous, and no parameter details are provided beyond schema property names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns an official install command as inert text, identifying the resource and the tool's non-executing nature. It does not explicitly differentiate itself from sibling tools like get_library_guidance, which would earn a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool versus alternatives. The description explains what the tool does but gives no context about when an agent should select it over get_library_guidance or recommend_stack.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_library_guidanceGet library guidanceB
Read-onlyIdempotent

Return use, avoid, compatibility, legal and official-source guidance for one ecosystem.

ParametersJSON Schema
NameRequiredDescriptionDefault
library_idYes

TDQS

B3.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context about the returned guidance categories and 'official-source' framing, but does not disclose behavioral details such as lookup failure handling, authentication, or rate limits. With annotations present, this is adequate but not exceptional.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the core action ('Return'), names the target ('one ecosystem'), and lists the content categories without filler. Every element contributes meaning and the length is appropriate for the tool's simplicity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one parameter, openWorldHint=false, and read-only annotations, the description is nearly sufficient. However, there is no output schema, so the exact return structure is not documented, and library_id semantics are left implicit. The listed guidance categories give a reasonable overview, making this minimally complete but with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for explaining library_id. The description only says 'for one ecosystem' and does not clarify that library_id identifies the library/ecosystem, how to obtain it, or what format is expected. This is a meaningful gap given there is no schema-level parameter description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the verb ('Return') and the resource ('guidance for one ecosystem'), and enumerates the content categories (use, avoid, compatibility, legal, official-source). It is reasonably distinct from siblings like get_install_instructions and list_libraries, though it does not explicitly differentiate itself and 'ecosystem' versus 'library' is slightly imprecise.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description tells what the tool returns but does not give any guidance on when to use it versus alternatives such as get_install_instructions, recommend_stack, or search_components. There is no when-to-use, when-not-to-use, or alternative routing, leaving the agent to infer context from the tool name and sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

inspect_projectInspect local project metadataA
Read-onlyIdempotent

Read bounded package.json, package-lock.json and components.json within the server working directory. Return a HostProfile with evidence; never execute project code.

ParametersJSON Schema
NameRequiredDescriptionDefault
relative_pathNo.

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover readOnlyHint, idempotentHint, destructiveHint, so the description's job is lighter. The description adds value beyond annotations by naming the explicit file set, stating that it returns a HostProfile with evidence, and clearly declaring it never executes project code. A point is lost for not adding detail on what 'evidence' includes or path constraints like symlink handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler. The first sentence states the capability and deliverables; the second adds the critical safety constraint. No repetition of schema or annotations, and the structure is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, read-only tool with annotations covering safety and idempotence, the description is complete enough. A little more detail on the returned HostProfile shape or 'evidence' would be useful given there is no output schema, but the tool's simplicity and the 'never execute' disclaimer make it adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and semantics must come from the description. The description implicitly associates relative_path with the working directory via 'within the server working directory', but it does not explicitly explain that relative_path selects a subdirectory or that 'bounded' prevents escape. Since there is only one parameter, the description mostly compensates but still does not fully clarify relative_path semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Read'), names the exact resources ('bounded package.json, package-lock.json and components.json'), and defines the scope ('within the server working directory'). It also distinguishes from siblings by being the only read/metadata tool among the listed alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly communicates what the tool covers and does not cover: only the three named files, and no code execution. This gives an agent a strong signal for when to use it and what it cannot do. It does not explicitly name sibling alternatives to defer to, but given the sibling list, no alternative clearly overlaps with this read function.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_librariesList OrchestrUI librariesA
Read-onlyIdempotent

List the seven supported UI ecosystems and optionally filter by role. Returns metadata only.

ParametersJSON Schema
NameRequiredDescriptionDefault
roleNoOptional role fragment such as charts or marketing-ui.

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the agent knows this is a safe read-only operation. The description adds 'Returns metadata only'—a useful disclaimer that goes beyond the schema. However, it does not detail what 'metadata' includes (e.g., supported versions, installation status), but the annotations carry most of the safety burden. This is slightly better than a baseline 3 because it explicitly limits scope, yet not rich enough for a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence that names the purpose, the fixed set (seven ecosystems), the optional filter, and the return type. Every word earns its place; it is front-loaded with the core action and avoids fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool with one optional parameter and no output schema, the description is mostly complete. It tells the agent what the tool does, the scope (seven ecosystems), and that it returns metadata only. The only minor gap is that it does not explain what happens if the role filter does not match—but given the trivial complexity and rich annotations, this does not significantly impair usability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the single optional parameter's description ('Optional role fragment such as charts or marketing-ui') is already explicit in the schema. The tool description merely mentions 'optionally filter by role' without adding new semantic detail (e.g., whether filtering is case-sensitive, partial match, or returns all if empty). Since the schema fully covers the param, a baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the verb ('List'), the resource ('the seven supported UI ecosystems'), and adds a key distinguishing detail ('optionally filter by role. Returns metadata only'). This clearly differentiates it from siblings like get_library_guidance or recommend_stack by emphasizing a fixed set (seven) and metadata-only scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates when to use it (to list UI ecosystems) and hints at a filtering option (by role), but it does not explicitly state when not to use it or name alternatives. Sibling names suggest related tools, but the description does not explicitly route to them, so it misses the 'when-not' guidance that would earn a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

recommend_stackRecommend a minimal UI stackB
Read-onlyIdempotent

Compute a minimal UI composition from structured host/task profiles, with task text supported as a legacy inference path.

ParametersJSON Schema
NameRequiredDescriptionDefault
taskNo
constraintsNo
host_profileNo
task_profileNo
existing_stackNo
rive_asset_rightsNonot-applicable

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered and the bar is lower. The description adds one genuinely useful behavioral trait: task text is a 'legacy inference path,' signaling it is a deprecated/fallback input rather than the primary one. No contradiction with annotations exists, but the description does not disclose output shape, ranking behavior, or handling of conflicting inputs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single 21-word sentence with zero filler. The primary function is front-loaded ('Compute a minimal UI composition from structured host/task profiles') and the legacy qualifier trails naturally. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a high-complexity tool: 6 parameters, two nested objects containing roughly 18 fields total, no output schema, and 0% schema coverage. A single sentence cannot carry that weight. The agent is left without any indication of what the tool returns, how existing_stack or constraints influence the recommendation, or how the duplicated fields relate. Significant gaps remain for correct invocation and interpretation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description carries the burden and partially compensates: it maps 'structured host/task profiles' to host_profile and task_profile, and 'task text' to the task parameter, clarifying the primary vs legacy input paths. However, constraints, existing_stack, and rive_asset_rights are entirely unmentioned, and the duplication of constraints/rive_asset_rights at both top level and inside task_profile is not clarified. Meaningful but incomplete compensation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Compute a minimal UI composition') with a clear input source ('structured host/task profiles'), and the title anchors the resource as a 'minimal UI stack'. It is distinguishable from siblings — list_libraries, search_components, and get_install_instructions are about discovery/guidance, while this composes a recommendation. Minor ambiguity: 'composition' vs 'stack' terminology isn't unified, and the exact nature of the output is left abstract.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'with task text supported as a legacy inference path' is an implicit usage signal: structured profiles are the preferred path and free-text task is a fallback. However, there is no explicit when-to-use vs alternatives (e.g., when to pick this over search_components or list_libraries), and no exclusion criteria or prerequisites are stated. The guidance is implied rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_componentsSearch official component metadataB
Read-onlyIdempotent

Search a selected library's public official registry when available, with a verified metadata-only fallback.

ParametersJSON Schema
NameRequiredDescriptionDefault
liveNo
limitNo
queryNo
library_idYes

TDQS

B3.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that it uses a 'verified metadata-only fallback,' which is useful behavioral context beyond annotations. However, it does not disclose quirks like rate limits, parameter defaults, or what happens with empty results. With annotations covering safety, the description adds moderate value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence, concise and front-loaded with the primary action. It includes a key fallback detail efficiently. However, it could be more structured with a second sentence about when to use it, earning a 4.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters, no output schema, and one required parameter. The description adds minimal context about the fallback but does not explain parameter usage, return format, or how it relates to sibling tools like get_install_instructions. For a search tool, an agent needs to know what 'metadata' means, how query filtering works, and the impact of 'live' parameter. The description leaves too much unspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but it mentions no parameters at all. It does reference 'selected library', which implies library_id, but does not explain the purpose of live, limit, or query. Given 4 parameters and 0% coverage, the description should provide more detail on parameters. Baseline for zero coverage is low, so a score of 3 is generous given the lack of parameter explanation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Search') and resource ('a selected library's public official registry'), distinguishing it from sibling tools like get_install_instructions and list_libraries. It also notes a metadata-only fallback, adding specificity. However, it does not explicitly mention the returned component metadata or differentiate from all sibling tools explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it (searching for components in a library's official registry) and hints at a fallback for libraries without one. But it does not provide explicit 'when-not-to-use' guidance or mention alternatives like get_library_guidance. It gives some context but lacks explicit routing among siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.4.0
    • Addedinspect_project
  2. 6 tool updatesv0.3.0
    • First observedaudit_plan
    • First observedget_install_instructions
    • First observedget_library_guidance
    • First observedlist_libraries
    • First observedrecommend_stack
    • First observedsearch_components

TDQS

A3.7/5.0

Scored across 7 tools

Disambiguation5/5

Each tool targets a distinct concern: listing ecosystems, inspecting projects, auditing plans, retrieving install commands or guidance, recommending stacks, and searching components. There is no meaningful overlap that would cause an agent to misselect.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (list_libraries, inspect_project, audit_plan, recommend_stack, search_components). Even the 'get_*' tools fit the pattern naturally and remain predictable.

Tool Count5/5

Seven tools is well-scoped for a UI orchestration assistant. Each tool covers a distinct part of the workflow—discovery, inspection, planning, guidance, installation instructions, and component search—without bloat or redundancy.

Completeness4/5

The set covers the core workflow of inspecting a project, planning/recommending a stack, auditing it, and retrieving install/usage guidance. Minor gaps exist, such as no explicit library comparison or plan persistence/export tool, but these are workable around and not critical to the server's advisory purpose.

Maintenance

ActivityActive
ResponsivenessNo issues

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    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    MCP server that exposes a design system and UX rulebook as tools, enabling AI to generate UI consistent with your design tokens, components, layout rules, accessibility guidelines, and templates. It also provides a review tool to score UI proposals against the design system.
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  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides coding agents with verified recommendations, version-specific breakage traps, design systems, and installable skills over MCP, enabling safer stack and dependency decisions without requiring an API key.
    -