mcp server
B.O.N.S.A.I. Health Intelligence API
Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.
Description as published by the maintainer. Source
- version 3.0.1
- slowing
slowing — Registry entry last updated 2026-02-26.
What this server can do
9 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
check_interactions(medications, foods_or_supplements)- Check a list of medications for food-drug interactions, nutrient depletions, and timing-critical dosing requirements. Required: medications.
drug_safety(medication)- Return the food-drug safety profile for a single medication. Required: medication.
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. Required: condition.
glp_phase_guide(glp1_phase)- Return the protocol overview for a specific GLP-1 therapy phase (starting, titrating, maintenance, tapering, post_drug). Required: glp1_phase.
glp_protocol(condition, glp1_phase, user_context, glp1_medication)- 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. Required: glp1_phase, glp1_medication.
interpret_labs(lab_values, health_goals, current_medications)- Interpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals. Required: lab_values.
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. Required: query.
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). Required: marker.
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. Required: query.
Last successful function declaration observed on . Source: https://web-production-ae61.up.railway.app. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://web-production-ae61.up.railway.app.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 3.0.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-02-26 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-02-26 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 9 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | web-production-ae61.up.railway.app | |
| mcp endpoint status | ok | The server listed 9 functions when asked. | as of probe | web-production-ae61.up.railway.app |
Where to get it
Also from rabyavalla
-
ACLM Lab Interpreter
Interpret lab values against ACLM-optimized ranges. Returns deprescription signals.
-
Drug-Food Interactions
Food-drug interaction and nutrient depletion checks for 30+ common medications.
-
GLP Companion Nutrition
GLP-1 phase-aware nutrition: muscle preservation, GI tolerance, taper protocols.
-
Lifestyle Medicine Knowledge
Semantic search over a 200-chunk ACLM lifestyle medicine knowledge base.
-
Plant-Based Nutrition Protocols
Evidence-based plant-based food-as-medicine protocols for 47 chronic conditions. ACLM-aligned.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json