MCP-сервер Aviado AI

• Имя в реестреai.aviado/healthподтверждён в реестре MCP

Имя в реестре лежит в пространстве aviado.ai. Реестр пускает в такое пространство только того, кто доказал владение доменом через DNS или HTTP.

• Состояниеотвечаетпроверено 2026-10-13
• Инструменты9
• Сервер называет себяaviado
• Версия сервера1.0.0
• Версия протокола2025-06-18

2026-10-13 сервер ответил на initialize и tools/list без входа. Первый ответ за 1590 мс.

• get_supplements_for_biomarker

  Find registry-classified supplements in Aviado's current graph that affect a biomarker. Excludes food_substance, prescription_drug, research_compound, research_nootropic, medical_compound, and unknown IDs. Type labels and graph_status…

• get_interventions_for_biomarker

  Find mixed interventions in Aviado's current graph that affect a biomarker, labeled with the exact intervention_type value supplement, food_substance, prescription_drug, research_compound, research_nootropic, medical_compound, or unknown…

• get_biomarkers_for_supplement

  Find which biomarkers are affected by a given supplement. Returns direction (up/down), confidence, dose, and health goal mapping.

• get_supplement_info

  Get comprehensive information about a supplement: what it is, what it does, which biomarkers it affects, mechanism of action, and safety contraindications.

• get_supplement_interactions

  Find supplement-supplement interactions (765 pairs from clinical evidence) and drug-supplement interactions (1,626 FDA-validated pairs). Returns synergies, antagonisms, absorption conflicts, and timing recommendations.

• get_top_brands

  Find the highest-quality brands for a supplement, ranked by ProofMark (Aviado's quality score: third-party testing, certifications, and quality metrics).

• search_supplements

  Resolve a supplement identity. Use mode='supplement_retail' only for raw retail product titles; it invokes the fail-closed retail front door. Identity mode is the default.

• search_conditions

  Search for a health condition by name with fuzzy matching. Use this to resolve ambiguous condition names before calling get_supplements_for_condition.

• get_supplements_for_condition

  Find which supplements help with a health condition or goal (e.g., 'sleep', 'anxiety', 'joint pain'). Returns evidence-graded supplement recommendations with dosages.