B.O.N.S.A.I. Health Intelligence API

Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.

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Calidad y seguridad

B
Calidad de la descripción
78%
Integridad del esquema
81%
Calidad de los nombres
87%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (4)

  • LOWTool 'query_nutrition_topic' description lacks action verben query_nutrition_topic
  • LOWTool 'interpret_labs' description lacks action verben interpret_labs
  • LOWTool 'drug_safety' description lacks action verben drug_safety
  • LOWTool 'lifestyle_query' description lacks action verben lifestyle_query

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,366Tokens (definiciones de herramientas)
~882 BTamaño de respuesta típico
Impacto moderado en la atención (1.07% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "bonsai-health": {
      "url": "https://web-production-ae61.up.railway.app"
    }
  }
}

Puntos de conexión remotos

https://web-production-ae61.up.railway.appstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (9)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢get_protocol(condition, user_context, duration_weeks)

Generate an evidence-based whole-food plant-based protocol for one of 47 chronic conditions. Returns therapeutic foods, daily meal structure, foods to minimize, monitoring markers, and clinical citations.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "condition": {
      "type": "string",
      "enum": [
        "angina",
        "anxiety",
        "ascvd",
        "asthma",
        "atrial_fibrillation",
        "autoimmune",
        "barretts",
        "bipolar_disorder",
        "chronic_kidney_disease",
        "chronic_pain",
        "copd",
        "depression",
        "diabetes",
        "diabetes_kidney_protection",
        "diabetes_with_lipid_risk",
        "dvt_pe_history",
        "edema",
        "epilepsy",
        "exercise_induced_bronchospasm",
        "fibromyalgia",
        "gerd",
        "gi_health",
        "gout",
        "h_pylori",
        "heart_failure",
        "hypercoagulable",
        "hyperlipidemia",
        "hypertension",
        "hyperthyroidism",
        "hyperuricemia",
        "hypothyroidism",
        "ibd",
        "lupus",
        "mechanical_valve",
        "obesity",
        "ocd_ptsd",
        "other_autoimmune",
        "pcos",
        "peptic_ulcer",
        "post_thyroidectomy",
        "prediabetes",
        "psoriasis",
        "rheumatoid_arthritis",
        "severe_acne",
        "stroke_history",
        "type_2_diabetes",
        "weight_management"
      ]
    },
    "user_context": {
      "type": "object"
    },
    "duration_weeks": {
      "type": "integer",
      "default": 4,
      "minimum": 1,
      "maximum": 24
    }
  },
  "required": [
    "condition"
  ]
}
🟢query_nutrition_topic(query, max_results)

Ask a nutrition or food-as-medicine question. Returns evidence-based answer from the 200-chunk lifestyle medicine knowledge base.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "max_results": {
      "type": "integer",
      "default": 3,
      "minimum": 1,
      "maximum": 10
    }
  },
  "required": [
    "query"
  ]
}
🟢interpret_labs(lab_values, current_medications, health_goals)

Interpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "lab_values": {
      "type": "object",
      "description": "Key-value pairs of biomarker names and values. Common keys: hba1c, fasting_glucose, fasting_insulin, ldl, hdl, triglycerides, apob, lp_a, hscrp, vitamin_d, b12, ferritin, tsh, free_t4, free_t3."
    },
    "current_medications": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "health_goals": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "lab_values"
  ]
}
🟢marker_reference(marker)

Look up the ACLM-optimized reference range and lifestyle intervention plan for a single biomarker (e.g., apob, lp_a, hscrp, hba1c, fasting_insulin, vitamin_d).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "marker": {
      "type": "string"
    }
  },
  "required": [
    "marker"
  ]
}
🟢glp_protocol(glp1_phase, glp1_medication, condition, user_context)

Generate a GLP-aware nutrition protocol composed on top of any active chronic condition. Returns protein floor (1.2-1.6 g/kg), fiber ramp schedule, GI tolerance interventions, resistance training prescription, hydration target, and phase-specific guidance.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "glp1_phase": {
      "type": "string",
      "enum": [
        "starting",
        "titrating",
        "maintenance",
        "tapering",
        "post_drug"
      ]
    },
    "glp1_medication": {
      "type": "string",
      "enum": [
        "semaglutide",
        "tirzepatide",
        "liraglutide",
        "dulaglutide",
        "compounded",
        "saxenda"
      ]
    },
    "condition": {
      "type": "string"
    },
    "user_context": {
      "type": "object"
    }
  },
  "required": [
    "glp1_phase",
    "glp1_medication"
  ]
}
🟢glp_phase_guide(glp1_phase)

Return the protocol overview for a specific GLP-1 therapy phase (starting, titrating, maintenance, tapering, post_drug).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "glp1_phase": {
      "type": "string",
      "enum": [
        "starting",
        "titrating",
        "maintenance",
        "tapering",
        "post_drug"
      ]
    }
  },
  "required": [
    "glp1_phase"
  ]
}
🟢check_interactions(medications, foods_or_supplements)

Check a list of medications for food-drug interactions, nutrient depletions, and timing-critical dosing requirements.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "medications": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "foods_or_supplements": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "medications"
  ]
}
🟢drug_safety(medication)

Return the food-drug safety profile for a single medication.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "medication": {
      "type": "string"
    }
  },
  "required": [
    "medication"
  ]
}
🟢lifestyle_query(query, pillar, max_results)

Ask any lifestyle medicine question. Returns evidence-based answer with citations from a 200-chunk knowledge base spanning ACLM 6-pillars, B.O.N.S.A.I. nutrition, drug-food interactions, lab interpretation, GLP guidance, wearables, and CGM signal interpretation.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "pillar": {
      "type": "string",
      "enum": [
        "nutrition",
        "movement",
        "sleep",
        "stress",
        "substance_use",
        "social_connection",
        "labs",
        "wearables",
        "any"
      ],
      "default": "any"
    },
    "max_results": {
      "type": "integer",
      "default": 3,
      "minimum": 1,
      "maximum": 10
    }
  },
  "required": [
    "query"
  ]
}

Comunidad

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Evidencia

Observaciones recientes

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