B.O.N.S.A.I. Health Intelligence API
Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.
我该使用它吗
质量与安全性
发现（4）
- LOWTool 'query_nutrition_topic' description lacks action verb在 query_nutrition_topic 中
- LOWTool 'interpret_labs' description lacks action verb在 interpret_labs 中
- LOWTool 'drug_safety' description lacks action verb在 drug_safety 中
- LOWTool 'lifestyle_query' description lacks action verb在 lifestyle_query 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"bonsai-health": {
"url": "https://web-production-ae61.up.railway.app"
}
}
}远程端点
https://web-production-ae61.up.railway.appstreamable-http它能做什么
工具清单
工具（9）
🟢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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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).
输入模式
{
"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.
输入模式
{
"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).
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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"
]
}社区
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