# B.O.N.S.A.I. Health Intelligence API MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-rabyavalla-bonsai-health
- Repository: https://github.com/rabyavalla/bonsai-api

## Install
- Endpoint: https://web-production-ae61.up.railway.app
- Auth: Not captured

## Setup notes
- Remote endpoint: https://web-production-ae61.up.railway.app

## Tools
- get_protocol - 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. Endpoint: https://web-production-ae61.up.railway.app
- query_nutrition_topic - Ask a nutrition or food-as-medicine question. Returns evidence-based answer from the 200-chunk lifestyle medicine knowledge base. Endpoint: https://web-production-ae61.up.railway.app
- interpret_labs - Interpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals. Endpoint: https://web-production-ae61.up.railway.app
- marker_reference - 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). Endpoint: https://web-production-ae61.up.railway.app
- glp_protocol - 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. Endpoint: https://web-production-ae61.up.railway.app
- glp_phase_guide - Return the protocol overview for a specific GLP-1 therapy phase (starting, titrating, maintenance, tapering, post_drug). Endpoint: https://web-production-ae61.up.railway.app
- check_interactions - Check a list of medications for food-drug interactions, nutrient depletions, and timing-critical dosing requirements. Endpoint: https://web-production-ae61.up.railway.app
- drug_safety - Return the food-drug safety profile for a single medication. Endpoint: https://web-production-ae61.up.railway.app
- lifestyle_query - 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. Endpoint: https://web-production-ae61.up.railway.app

## Resources
Not captured

## Prompts
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## Metadata
- Owner: io.github.rabyavalla
- Version: 3.0.1
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Feb 26, 2026
- Source: https://registry.modelcontextprotocol.io