Connect-MCP

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

io.github.rabyavalla/bonsai-health · v3.0.1

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

MCPremoteno credentialsFood & drinkHealthKnowledge & docs

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 9 tools, protocol 2025-03-26 · checked 2026-10-17

Test & rating

B 78/100

What it does: 9 tools · 9 read, 0 write · Health, Knowledge & docs

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: 0
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://web-production-ae61.up.railway.app

Tools

9 tools listed at last check
  • 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.
  • query_nutrition_topic Ask a nutrition or food-as-medicine question. Returns evidence-based answer from the 200-chunk lifestyle medicine knowledge base.
  • interpret_labs Interpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals.
  • 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).
  • 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.
  • glp_phase_guide Return the protocol overview for a specific GLP-1 therapy phase (starting, titrating, maintenance, tapering, post_drug).
  • check_interactions Check a list of medications for food-drug interactions, nutrient depletions, and timing-critical dosing requirements.
  • drug_safety Return the food-drug safety profile for a single medication.
  • 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.

Badge

Connect-MCP badge for io.github.rabyavalla/bonsai-health

Markdown for your README
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