AI Design Blueprint

インストール

使っているAIアプリを選んで、設定をコピーしてください。

チェック 3/3 合格 · 質問内容は提供元のサーバー（aidesignblueprint.com）を通ります · ✓ コマンド確認済み 2026年11月13日

claude mcp add --transport http --scope user blueprint https://aidesignblueprint.com/mcp

{
  "mcpServers": {
    "blueprint": {
      "url": "https://aidesignblueprint.com/mcp"
    }
  }
}

{
  "servers": {
    "blueprint": {
      "type": "http",
      "url": "https://aidesignblueprint.com/mcp"
    }
  }
}

使えるアプリ

このサーバーのつなぎ方と、各アプリの公式ドキュメントに基づきます。2026年11月10日に確認。

インターネット経由でつなげるアプリ

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

すべてのアプリと長所・短所 →

できること

ツールの名前と説明は、サーバーが2026年11月14日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

• principles.list

  List Blueprint doctrine with stable slugs, titles, and clusters. The lens selects which of the three public doctrines: 'architecture' = the 10 agentic principles (default, the architect.validate rubric); 'surface' = the 8 experience-design laws (the design.validate rubric); 'spec

• clusters.list

  List all principle clusters with their stable slugs and linked principle titles. Use this to discover which clusters exist before drilling in with clusters.get or filtering principles.list by cluster. Prefer clusters.get when you already know the cluster slug and need full detail

• principles.get

  Get one doctrine entry by stable slug. The lens selects the doctrine: 'architecture' = one of the 10 agentic principles (default); 'surface' = one of the 8 experience-design laws; 'spec' = one of the 8 spec-quality laws. Returns id, title, cluster, definition, rationale, implicat

• clusters.get

  Get one principle cluster by stable slug. Returns the cluster definition, shared rationale, and the full set of member principles (slug + title) so the caller can pivot into principles.get without a second list call. WHEN TO CALL: the user has already named a specific cluster (e.

• examples.get

  Get one curated example by stable slug. Returns title, summary, source-code links, principle coverage (the principle slugs the example demonstrates), difficulty, library/framework, and implementation notes. Use this when you already have the slug from examples.search, a principle

• principles.search

  Search Blueprint principles by free-text query and return the closest matches ranked by relevance. Use this to find principles related to a specific design challenge, failure mode, or keyword (e.g. 'reversibility', 'approval flow', 'delegation boundary'). Returns principle title,

• examples.search

  Search curated examples by free-text query, ranked by relevance, with optional filters: principle_ids (only examples covering those principles), difficulty (beginner/intermediate/advanced), library (e.g. 'langgraph', 'openai'). Returns each match's slug, title, summary, principle

• assets.list

  Public: list downloadable doctrine and agent asset artifacts (skill packs, rule packs, MCP setup snippets) the user can drop into their AI coding tool to import the Blueprint as native skill/rule files. Returns a list of assets with name, format (one of: zip / md / markdown / mdc

• guides.list

  List application guides that show how Blueprint principles apply to engineering challenges (security, evaluation, observability, etc.). Use this to discover which guides exist before drilling in. Prefer guides.search when the user describes a topic or failure mode in natural lang

• guides.get

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user descr

• guides.search

  Search application guides by free-text query, matched against section answers and action items. Use this when the user describes an engineering challenge (security review, evaluation harness, observability) and wants matching guides. Prefer guides.get when you already have the gu

• signals.report

  Records a value moment (e.g. review_confidence, runtime_risk_found, workflow_clarity) after a successful validate run on any lens (architect.validate, design.validate, or spec.validate) or a doctrine session. Each event stores event_type, surface_used (mcp or the site section), p

• signals.feedback

  Public: records explicit free-text user feedback about the Blueprint, this tool surface, or a specific principle/example. Captures two 1-5 ratings (rating_clarity, rating_usefulness), what_helped, what_missing, would_use_again, the task_type and surface, and an optional contact_e

• architect.validate

  Pro/Teams: first-pass doctrine review of agentic code/workflow against the 10-principle AI Design Blueprint doctrine. ON CLIENT TIMEOUT: DO NOT RETRY THIS TOOL. Long-running LLM call (60-180s typical); MCP clients commonly close the call before the server returns. Retrying re-run

• design.validate

  Pro/Teams: first-pass surface-craft review of a FRONTEND artefact (component, screen, or flow) against the 8 laws of the Experience Design Blueprint. The surface-craft companion to architect.validate: where architect.validate scores agentic ARCHITECTURE against the 10 agentic pri

• spec.validate

  Pro/Teams: first-pass specification-quality review of a WRITTEN SPEC (proposal, design doc, task breakdown, or an OpenSpec-style change bundle) against the 8 laws of the Spec Quality Blueprint. The what-to-build lens of the doctrine trio, applied BEFORE code exists: where archite

• architect.validate_consensus

  Pro/Teams: N-shot CONSENSUS doctrine review of agentic code. ON CLIENT TIMEOUT: DO NOT RETRY THIS TOOL. Long-running (~80-120s for N=3 parallel LLM calls); MCP clients often close the call before the server returns. Retrying re-runs N × 60-180s LLM calls from scratch and burns N×

• architect.certify

  Pro/Teams: second-pass adversarial certification of an architect.validate run that scored production_ready (A or B first-pass tier). ON CLIENT TIMEOUT: DO NOT RETRY THIS TOOL. **RECOVERY FIRST**: the run_id is emitted in the FIRST notifications/progress event at t=0s (BEFORE the

• team.summarize

  Teams/Enterprise: summarises the caller's tool-usage patterns and value signals over a configurable window (default 30 days). Returns period_days, most_used_tools (call counts and average latency), value_events by event_type, observed_usage_stage, validator_lenses_used, recommend

• me.learning_path

  Authenticated: returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone), Capstone track eligibility flags, and the next recommended stage. WHEN TO CALL: the user asks 'where am I', 'what's n

• me.coaching_context

  Authenticated: returns stages in the caller's active course where recorded evidence is thin relative to the stage's principle requirements. Each thin stage carries the missing principle slugs + a short diagnostic so the caller can suggest the user record concrete evidence. WHEN T

• me.add_evidence

  Authenticated: append a free-text evidence note to a specific stage in the caller's active course. Notes record concrete implementation observations, decisions, or artefacts that demonstrate progress through a Blueprint principle (e.g. how a delegation boundary was implemented, w

• me.sessions

  Pro/Teams: list or inspect the authenticated user's Governed Sessions (GEP-M2): durable, owner-scoped containers that group validation runs across lenses (architect.validate → 'architecture', design.validate → 'surface', spec.validate → 'spec') into one timeline for one piece of

• me.session_event

  Pro/Teams: append a TYPED TEAM EVENT to a Governed Session's timeline (GEP-M6). This is how the user's own harness makes trio work inspectable: handoffs between role lenses, pushbacks, plan previews, gates, and acks land as structured events next to the validation runs, so the se

• me.await_steer

  Pro/Teams. BLOCK until the session owner posts the next `steer` event to a Governed Session from AIDB Studio, then return it. DELIVERY GUARANTEE: the durable cursor read against the session log is authoritative (at-least-once: a lost response is safely re-issuable with the same c

• me.validation_history

  Pro/Teams: return the authenticated user's validation run history for all three lenses (architect.validate → validator='architecture', design.validate → validator='surface', spec.validate → validator='spec') with the Blueprint Readiness Score (0-100), letter grade (A-F), and tier

• handoffs.operator

  Authenticated: creates a support handoff record when an agent needs human review, account-specific escalation, or operator follow-up that cannot be resolved with the read-only doctrine tools. Persists a SupportHandoff row (reason, topic, page_url, agent_name, agent_platform, trac

• handoffs.partnership

  Authenticated: creates a partnerships handoff record for design-partner, ecosystem, training, or advisory conversations needing human review. Persists a PartnershipHandoff row routed to the partnerships inbox; the user is contacted by the team. WHEN TO CALL: user explicitly wants

• handoffs.agency

  Authenticated: submit an agency engagement enquiry on behalf of the caller for a founder-led discovery call. Persists an AgencyHandoff row routed to the agency inbox; the user is contacted by the team for a scoped proposal. Engagement scopes: workflow sprint (rapid agentic workfl

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月15日にチェック

• ✓ 合格

  作者とリポジトリが一致

  レジストリ名はドメイン aidesignblueprint.com で確認済みです（レジストリがドメインの所有を確認しています）

• … 未チェック

  今もメンテナンスされている

  このリポジトリはまだGitHubから読み取っていません

• … 未チェック

  ライセンスがある

  このリポジトリはまだGitHubから読み取っていません

• ✓ 合格

  エンドポイントが応答する

  502ミリ秒で応答（HTTP 200）

• – 対象外

  OAuthでサインイン

  サインイン不要

• ✓ 合格

  ツールの説明に隠れた指示がない

  29件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

確認していること → · JSON

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デザイン・画像・音声のほかのサーバーとの比較i

• このカテゴリのほかの3075件のうち0%よりスターが多い
• このカテゴリのほかの3075件のうち33%より最近レジストリに公開
• 基本チェックの結果が、このカテゴリのほかの3075件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

似た働きのほかの候補

同じカテゴリでほかの作者のもの。コマンドは確認済み。公式を先に、次にスター順。

カードの見方：↓ 週あたりのダウンロードi★ GitHubスターi3つの柱：レビュー · チェック · 利用状況i更新＝最新バージョンをレジストリに公開した日i

Pascal 3D Editor

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Figma MCP Server

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接続方法

Remocn: Remotion MCP server

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作者：Remocn·成長中·★ 1705·5 日前更新

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接続方法

Harness

Start Claude Code and Codex agents the person can watch, wait for them and read their answers.

作者：autonomous-ai·成長中·↓ 109/週·★ 1487·27 日前更新

パソコンで動く✓ harness.autonomous.ai

インストール

ChatCut

AI video editor for agents: cut footage, add captions and motion graphics, export editable edits.

作者：ChatCut-Inc·成長中·★ 1041·16 日前更新

クラウドで動く✓ 提供元 · chatcut.io

接続方法

• Pascal 3D Editor — クラウドでもパソコンにインストールでも使える · キー不要
• Figma MCP Server — クラウドで動き、インストール不要 · キー不要 · Claude のディレクトリに掲載
• Remocn: Remotion MCP server — クラウドで動き、インストール不要 · キー不要
• Harness — パソコンにインストールが必要 · キー不要
• ChatCut — クラウドで動き、インストール不要 · キー不要

作者のREADME

リポジトリにREADMEが見つかりません