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he industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 Blueprint principles, clusters, curated implementation exam
he industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 Blueprint principles, clusters, curated implementation examples, and application guides. 13 public tools require no credentials.
smithery badge integrations MCP server
Official integrations and installable doctrine for AI Design Blueprint across MCP, IDE rules, prompt files, and agent runtimes.
shared/: cross-tool doctrine filesmcp/: public MCP configuration and usage notesdocs/setup/: copy-first setup guides by toolcursor/, windsurf/, github-copilot/, gemini/: provider-specific instruction filesopen-weights/: static prompt packs for open-weight and local model workflowsexports/: structured doctrine exportCanonical public endpoints:
https://aidesignblueprint.comhttps://aidesignblueprint.com/mcphttps://aidesignblueprint.com/en/for-agentsdocs/setup/.https://aidesignblueprint.com/mcp.clusters.list()examples.search(query="orchestration visibility steering", limit=3)principles.list(cluster?)clusters.list()principles.get(slug)clusters.get(slug)examples.get(slug)principles.search(query, limit?)examples.search(query, principle_ids?, difficulty?, library?, limit?)assets.list()guides.list()guides.get(slug)guides.search(query, limit?)signals.report(event_type, surface_used?, brief_context?, perceived_value?, workflow_stage?, would_recommend?, team_size?) — records a value moment; only offer after the user clearly expresses something was useful; never call automatically or silentlysignals.feedback(task_type?, surface?, rating_clarity?, rating_usefulness?, what_helped?, what_missing?, would_use_again?, contact_email?, permission_to_follow_up?) — explicit qualitative feedback; only call when the user explicitly asks to leave feedbackSignal tools write only the structured fields you pass. No prompts, no code, no file contents are stored. See the privacy policy for full data-handling details.
me.learning_path()me.coaching_context()architect.validate(implementation_context, ..., private_session?) — Pro/Teams; set private_session=true to skip all server-side logging for that callteam.summarize(days_back?, private_session?) — Pro/Teams; usage reflection and recommended next assetsme.add_evidence(course_slug, stage_id, note)signals.report after the user has clearly expressed that something was useful. Never call automatically or silently. Offer at most once per session after a clear success signal.signals.feedback when the user explicitly asks to leave feedback. Never prompt for it proactively.brief_context.Show that your agent or repo follows the Blueprint doctrine.
Free badge — paste into your README.md (no account required):
[](https://aidesignblueprint.com)
Pro badge — run architect.validate() via the MCP. The response includes run_id, badge_url, and review_url:
[](https://aidesignblueprint.com/en/readiness-review/<run_id>)
The Pro badge displays your tier (Governed · X/Y or Reviewed · X/Y) and links to a public readiness review page. Requires a Pro or Beta account.
This repo is intended to mirror the canonical public contract already shipped on aidesignblueprint.com.
Before publishing changes here, verify:
/mcp/llms.txt/agent-assets/[slug]/en/for-agentsremain consistent with the files committed in this repo.
Run in your terminal:
claude mcp add ai-design-blueprint-doctrine -- npx Extract design specs and assets
by FigmaEnables AI agents to read, write, and edit Office documents via LibreOffice with token-efficient design. Supports multiple formats including DOCX, XLSX, PPTX, a
by passerbyflutterSearch and retrieve company logos by brand or domain. Customize size, format, and theme to match your design needs. Accelerate design, prototyping, and content
by NOVA-3951Enables GUI automation for controlling PIX4Dmatic on Windows through MCP. Supports launching, focusing, capturing screenshots, sending hotkeys, clicking UI elem
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