AgentXM

AI Design Blueprint

mcp remote · streamable-http · v1.7.1 · source: crawl

https://aidesignblueprint.com/mcp

https://github.com/Michelangelo-Z/ai-design-blueprint

Doctrine and validators for governable agentic AI products.

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Works

75

Verified Oct 31, 2026 · p50 1932 ms · p95 2005 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'AI Design Blueprint'
tools_listed15pass29 tools
schema_complete15fail16 of 29 tools have a description and a typed schema
latency_p5010failp50 1932 ms
latency_p955passp95 2005 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (29)

NameDescriptionSchema
principles.listList 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 rubriincomplete
clusters.listList 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.typed
principles.getGet 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 typed
clusters.getGet 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 styped
examples.getGet 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 typed
signals.feedbackPublic: 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, whaincomplete
principles.searchSearch 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. 'rtyped
examples.searchSearch curated examples by free-text query, ranked by relevance, with optional filters: principle_ids (only examples covering those principles), difficulty (beginner/intermediate/advanced), library (eincomplete
assets.listPublic: 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 filetyped
guides.listList 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. Preftyped
guides.getGet 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 typed
guides.searchSearch 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, observabtyped
signals.reportRecords 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 incomplete
architect.validatePro/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)incomplete
me.coaching_contextAuthenticated: 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 shortyped
design.validatePro/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:incomplete
spec.validatePro/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 whincomplete
architect.validate_consensusPro/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 incomplete
architect.certifyPro/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 typed
team.summarizeTeams/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), vatyped
me.learning_pathAuthenticated: returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone), Capstone track eligibility flags, andtyped
me.add_evidenceAuthenticated: 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 typed
me.sessionsPro/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.vincomplete
me.session_eventPro/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, typed
me.await_steerPro/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 auttyped
me.validation_historyPro/Teams: return the authenticated user's validation run history for all three lenses (architect.validate → validator='architecture', design.validate → validator='surface', spec.validate → validator=incomplete
handoffs.operatorAuthenticated: 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. Persistsincomplete
handoffs.partnershipAuthenticated: creates a partnerships handoff record for design-partner, ecosystem, training, or advisory conversations needing human review. Persists a PartnershipHandoff row routed to the partnershiincomplete
handoffs.agencyAuthenticated: 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 teamincomplete

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