health

Supplement research, biomarker effects, drug interactions, and brand quality data

사용해야 할까요

품질 및 안전성

A
설명 품질
96%
스키마 완전성
100%
이름 품질
98%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (1)

  • LOWTool 'get_interventions_for_biomarker' name length outside 3-30 rangeget_interventions_for_biomarker에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,408토큰 (도구 정의)
~1.0 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.10%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "health": {
      "url": "https://aviado.ai/api/mcp"
    }
  }
}

원격 엔드포인트

https://aviado.ai/api/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (9)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢get_supplements_for_biomarker(biomarker, limit)

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 (proven or suspected) are internal taxonomy/eligibility metadata, not independent clinical verification. Results are partial and non-exhaustive; pathway_tags are raw graph metadata, not validated mechanisms. Use dose_value with dose_unit; legacy dose_mg is populated only for literal mg rows.

입력 스키마

{
  "type": "object",
  "properties": {
    "biomarker": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Biomarker name, abbreviation, or LOINC code"
    },
    "limit": {
      "default": 25,
      "description": "Max results (default 25, max 100)",
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": [
    "biomarker"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_interventions_for_biomarker(biomarker, limit)

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. graph_status is the exact internal proven/suspected eligibility label, not independent clinical validation. Coverage is partial and non-exhaustive; absence is not evidence of no effect. pathway_tags are raw graph metadata, not validated mechanisms, and dose/pathway details are suppressed for non-supplement and unknown rows. Use dose_value with dose_unit; legacy dose_mg is populated only for literal mg rows.

입력 스키마

{
  "type": "object",
  "properties": {
    "biomarker": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Biomarker name, abbreviation, or LOINC code"
    },
    "limit": {
      "default": 25,
      "description": "Max results (default 25, max 100)",
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": [
    "biomarker"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_biomarkers_for_supplement(supplement, limit)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "supplement": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Supplement name (e.g., 'fish oil', 'curcumin', 'vitamin D3')"
    },
    "limit": {
      "default": 25,
      "description": "Max results (default 25, max 100)",
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": [
    "supplement"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_supplement_info(supplement)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "supplement": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Supplement name"
    }
  },
  "required": [
    "supplement"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_supplement_interactions(supplement, include_drug_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.

입력 스키마

{
  "type": "object",
  "properties": {
    "supplement": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Supplement name"
    },
    "include_drug_interactions": {
      "default": true,
      "description": "Include FDA drug-supplement interactions",
      "type": "boolean"
    }
  },
  "required": [
    "supplement"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_top_brands(supplement, limit)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "supplement": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Supplement name"
    },
    "limit": {
      "default": 5,
      "description": "Number of results (max 20)",
      "type": "integer",
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "supplement"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_supplements(query, mode)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Supplement identity or raw retail product title"
    },
    "mode": {
      "default": "identity",
      "description": "Explicit routing mode; retail titles require supplement_retail",
      "type": "string",
      "enum": [
        "identity",
        "supplement_retail"
      ]
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_conditions(query)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Search query (e.g., 'sleep', 'anxiety', 'brain fog', 'joint pain')"
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_supplements_for_condition(condition, min_grade, limit)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "condition": {
      "type": "string",
      "minLength": 1,
      "maxLength": 512,
      "description": "Health condition, symptom, or goal (e.g., 'insomnia', 'anxiety', 'brain fog', 'joint pain')"
    },
    "min_grade": {
      "default": "D",
      "description": "Minimum evidence grade to include (default: D = all)",
      "type": "string",
      "enum": [
        "A",
        "B",
        "C",
        "D"
      ]
    },
    "limit": {
      "default": 25,
      "description": "Max supplements to return, ranked by evidence (default: 25, max: 50)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "condition"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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