Connect-MCP

Aviado AI

ai.aviado/health · v0.3.0

Cited supplement evidence, biomarker effects, interaction checks and brand quality

MCPremoteno credentialsHealthResearch & education

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 11 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 11 tools · 10 read, 1 write · Health, Knowledge & docs, Research & education

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://aviado.ai/api/mcp

Tools

11 tools listed at last check
  • get_supplements_for_biomarker Supplements in Aviado's evidence graph that move a biomarker (e.g. 'LDL cholesterol', 'HbA1c'). Lists only registry-classified supplements: entities Aviado's identity vocabulary types as supplement, class or combination and marks recommendable; prescription drugs, research compounds, foods and unkno
  • get_interventions_for_biomarker All mixed interventions in Aviado's evidence graph that move a biomarker, each labelled with intervention_type: supplement, food_substance, prescription_drug, research_compound, research_nootropic, medical_compound, form_dependent, not_recommendable or unknown (omitted on plain recommendable supplem
  • get_biomarkers_for_supplement Biomarkers a supplement moves in the Aviado app's evidence graph, one entry per biomarker (strongest edge), ordered by prior_weight (graph evidence weight 0-1, not a calibrated probability or effect size). Each entry has direction (up/down/bidirectional), goal/subgoal, has_verified_support / mixed_e
  • get_supplement_info Overview of one supplement: description, typical uses, its top 5 biomarkers (with up to 3 PubMed citations each), goals, mechanism tags and cited safety contraindications. Contraindications include those recorded for what it contains (e.g. turmeric shows curcumin's), labelled with recorded_for; only
  • get_supplement_interactions Drug interactions come only from FDA drug labels: thorough for supplements labels name often (St. John's wort, grapefruit, magnesium, ginkgo) and sparse or missing for most others (e.g. fish oil, vitamin K, berberine, ashwagandha); read coverage.drug, and never treat an empty or short list as proof
  • check_interaction Point check of one pair, about 1-3 KB: a and b are each a supplement (name or canonical_id) or a medication (generic name; salt forms merged, brand names not matched). Supplement + supplement uses curated interactions (components and classes included); supplement + medication uses FDA drug-label row
  • get_top_brands Highest-quality brands for a supplement: one product per brand (its best), ranked by ProofMark, Aviado's product quality score (testing, ingredients, transparency, manufacturing, certifications). proofmark_100 is the 0-100 score (proofmark = proofmark_100/100) with a letter grade; proofmark_status i
  • search_supplements Find the Aviado id for a supplement name, exactly (no fuzzy matching). Answers with matches[0] = the identity: vocabulary_exact, or user_intent for salt/form names ('magnesium citrate' -> magnesium, with a form note). A name Aviado does not hold may be answered with a naming-model suggestion (match_
  • search_conditions Find the condition id for a health condition, symptom or goal. Answers when the name matches one condition clearly (data.conditions lists it first, with up to 4 related suggestions); a weak or ambiguous name (e.g. 'blood pressure': high vs low) returns needs_confirmation with the suggestions in cand
  • get_supplements_for_condition Supplements associated with a health condition or goal (e.g. 'insomnia', 'anxiety', 'joint pain'), strongest evidence first. evidence_basis direct rows come from studies of the condition; biomarker_proxy rows are inferred from the supplement's effect on the named proxy_biomarkers (each backed by an
  • build_starter_stack Starter stack (default 3, max 5) of recommendable supplements for a goal (e.g. 'insomnia', 'LDL cholesterol'), best-replicated app-visible evidence first; never Rx or research; biomarker-proxy rows are hypotheses. Not offered for cancer or other serious disease (no_match). One item per ingredient fa

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