com.aidesignblueprint/blueprint

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Publisher-provided title

AI Design Blueprint

Publisher-provided description

Doctrine and validators for governable agentic AI products.

Summary by lookupd

Runs doctrine reviews of agent code and specs, and searches principles, guides and examples for governable agentic AI design.

Install

Claude Code, remote (streamable-http)

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

Codex, remote (streamable-http)

codex mcp add blueprint --url https://aidesignblueprint.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (29 tools)

Publisher-provided text

principles.list List Blueprint doctrine with stable slugs, titles, and clusters. The lens selects which of the three public doctrines: 'architecture' = the 10 agentic principle
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
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 expe
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 c
examples.get Get one curated example by stable slug. Returns title, summary, source-code links, principle coverage (the principle slugs the example demonstrates), difficulty
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 chal
examples.search Search curated examples by free-text query, ranked by relevance, with optional filters: principle_ids (only examples covering those principles), difficulty (beg
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
guides.list List application guides that show how Blueprint principles apply to engineering challenges (security, evaluation, observability, etc.). Use this to discover whi
guides.get Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. U
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 (secur
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.va
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_clari
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.
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 surfac
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 la
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
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 R
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_too
me.learning_path Authenticated: returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone
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 carr
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,
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 (archi
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
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 cu
me.validation_history Pro/Teams: return the authenticated user's validation run history for all three lenses (architect.validate → validator='architecture', design.validate → validat
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 wit
handoffs.partnership Authenticated: creates a partnerships handoff record for design-partner, ecosystem, training, or advisory conversations needing human review. Persists a Partner
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

Details

Version: 1.7.1
Transports: streamable-http
Uptime (7 days): 100%
Median latency: 1246 ms
First indexed: 2026-11-01T08:52:46.827Z
Last seen in registry: 2026-11-01T08:52:46.896Z
Repository: https://github.com/Michelangelo-Z/ai-design-blueprint
Website: https://aidesignblueprint.com/en/for-agents

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Last crawl: 2026-11-11T15:38:39.561Z
API base: https://api.lookupd.com
MCP URL: https://api.lookupd.com/mcp