A remote health intelligence endpoint offering lifestyle medicine information backed by cited references, accessed through x402 micropayments.
What you can do
The registry describes it as a lifestyle medicine health intelligence service that draws on 637 or more peer-reviewed references. It is exposed as a remote streamable HTTP endpoint, so an assistant connects to it directly rather than running anything locally. No tool list is published, so the exact operations available are not documented in the supplied material.
When to use it
Consider it when an assistant needs lifestyle medicine or general health information with reference backing. It is less suitable if you need a documented tool surface, offline use, or a service with published authentication and pricing details.
Requirements
A remote MCP client that supports streamable HTTP, plus network access to the provider's endpoint. The manifest declares no authentication, environment variables, or headers, but the description mentions x402 micropayments, which normally implies a funded payment credential or wallet arrangement that is not described here.
Before you install
The description states access is via x402 micropayments, so using it may involve spending money; the payment mechanism, pricing, and any credential or wallet it requires are not documented in the supplied material. No authentication is declared, so it is unclear how requests are attributed or billed. Health information from any such service is not a substitute for professional medical advice, and no tool list is published to show what data the server returns or stores.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.rabyavalla%2Fbonsai-health/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
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.
Ask a nutrition or food-as-medicine question. Returns evidence-based answer from the 200-chunk lifestyle medicine knowledge base.
Parametersqueryrequiredmax_results
interpret_labs
ACLM Lab Interpreter
Interpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals.
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).
Parametersmarkerrequired
glp_protocol
GLP Companion Nutrition
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.
Return the protocol overview for a specific GLP-1 therapy phase (starting, titrating, maintenance, tapering, post_drug).
Parametersglp1_phaserequired
check_interactions
Drug-Food Interactions
Check a list of medications for food-drug interactions, nutrient depletions, and timing-critical dosing requirements.
Parametersmedicationsrequiredfoods_or_supplements
drug_safety
Drug-Food Interactions
Return the food-drug safety profile for a single medication.
Parametersmedicationrequired
lifestyle_query
Lifestyle Medicine Knowledge
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.
Parametersqueryrequiredpillarmax_results
Version history
1
v3.0.1LatestSep 16, 2026
Score
75%
75% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
License10 pts
Declare a license in the repository or the registry entry.