https://aidesignblueprint.com/mcp
Remote
v1.26.0
Published by aidesignblueprint.com — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Enterprise-safe agentic AI design doctrine. Read-only MCP, UK/EU residency, zero-training policy.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 3 = 97. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — enumerated from the running server.
architect.certifyingests untrusted inputarchitect.validateingests untrusted inputarchitect.validate_consensusingests untrusted inputassets.listingests untrusted inputdesign.validateingests untrusted inputme.sessionsingests untrusted inputspec.validateingests untrusted inputclusters.getno sensitive capabilityclusters.listno sensitive capabilityexamples.getno sensitive capabilityexamples.searchno sensitive capabilityguides.getno sensitive capabilityguides.listno sensitive capabilityguides.searchno sensitive capabilityhandoffs.agencyno sensitive capabilityhandoffs.operatorno sensitive capabilityhandoffs.partnershipno sensitive capabilityme.add_evidenceno sensitive capabilityme.await_steerno sensitive capabilityme.coaching_contextno sensitive capabilityme.learning_pathno sensitive capabilityme.session_eventno sensitive capabilityme.validation_historyno sensitive capabilityprinciples.getno sensitive capabilityprinciples.listno sensitive capabilityprinciples.searchno sensitive capabilitysignals.feedbackno sensitive capabilitysignals.reportno sensitive capabilityteam.summarizeno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.26.0 latest |
A 97/100 | 0 | 1.12.1 | 2026-07-28 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan https://aidesignblueprint.com/mcp --online
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