elthio-mcp
Supplement safety for AI agents. 1,500+ rules, NIH+FDA data, quality grading A-D.
Should I use this
Quality & Safety
Findings (1)
- LOWin verify_supplement_recommendation
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"elthio-mcp": {
"url": "https://elthio-production.up.railway.app/mcp"
}
}
}Remote endpoints
https://elthio-production.up.railway.app/mcpstreamable-httpWhat it can do
Tool inventory
Tools (6)
🟢check_supplement_safety(supplement, medications, supplements)
Check if a supplement is safe with a user's medications and existing supplements. Returns interaction data, safety score, quality grade, filler detection, NIH verification, and timing recommendation. Use this whenever a user asks about supplement safety, drug interactions, or whether they can take a supplement with their medications.
Input Schema
{
"type": "object",
"properties": {
"supplement": {
"type": "string",
"description": "The supplement to check. Include brand and form for best results. e.g. 'Magnesium Bisglycinate 400mg' or 'Fish Oil 1000mg'"
},
"medications": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of user's prescription medications. e.g. ['Warfarin', 'Levothyroxine']"
},
"supplements": {
"type": "array",
"items": {
"type": "string"
},
"description": "User's existing supplements for interaction checking."
}
},
"required": [
"supplement"
]
}🟢grade_supplement_quality(supplement, other_ingredients)
Get the quality grade (A-D) for a supplement based on bioavailability, filler detection, and NIH verification. Use this when a user asks about supplement quality, which form is best, whether a supplement has concerning fillers, or wants to compare brands.
Input Schema
{
"type": "object",
"properties": {
"supplement": {
"type": "string",
"description": "Supplement name to grade. e.g. 'Magnesium Oxide' or 'NOW Foods Vitamin D3 5000IU'"
},
"other_ingredients": {
"type": "string",
"description": "Other ingredients text from the label for filler detection. Optional."
}
},
"required": [
"supplement"
]
}🟢get_supplement_timing(supplement, medications)
Get the optimal time to take a supplement and why. Returns slot (morning/bedtime/with food/etc), clinical reasoning, and personalized instruction. Use this when a user asks when to take a supplement or how to build a timing schedule.
Input Schema
{
"type": "object",
"properties": {
"supplement": {
"type": "string",
"description": "Supplement name. e.g. 'Magnesium Glycinate'"
},
"medications": {
"type": "array",
"items": {
"type": "string"
},
"description": "User's medications — affects timing recommendations."
}
},
"required": [
"supplement"
]
}🟢check_full_stack(medications, supplements, wake_time, breakfast_time, dinner_time, ...)
Check a complete supplement and medication stack for all interactions, conflicts, synergies, and generate a full daily timing schedule. Use this when a user wants to check their entire supplement regimen or build a complete daily schedule.
Input Schema
{
"type": "object",
"properties": {
"medications": {
"type": "array",
"items": {
"type": "string"
},
"description": "All prescription medications."
},
"supplements": {
"type": "array",
"items": {
"type": "string"
},
"description": "All supplements and vitamins."
},
"wake_time": {
"type": "string",
"description": "Wake time in HH:MM format. e.g. '07:00'"
},
"breakfast_time": {
"type": "string",
"description": "Breakfast time HH:MM"
},
"dinner_time": {
"type": "string",
"description": "Dinner time HH:MM"
},
"bedtime": {
"type": "string",
"description": "Bedtime HH:MM"
}
},
"required": [
"supplements"
]
}🟢verify_supplement_recommendation(supplement, medications, supplements_already_taking, context)
Verify whether a supplement is safe to recommend to a user given their medications and current supplements. Runs the same interaction check as /med-check plus pathway analysis on the full stack including the new supplement. Returns safe_to_recommend, agent_summary, confidence, severity, timing_recommendation, citation, full_interactions, and pathway_analysis. Use whenever an AI agent is about to suggest a supplement and needs a go/no-go safety verdict.
Input Schema
{
"type": "object",
"properties": {
"supplement": {
"type": "string",
"description": "Supplement the agent wants to recommend. e.g. 'Omega-3 Fish Oil 1000mg'"
},
"medications": {
"type": "array",
"items": {
"type": "string"
},
"description": "User's prescription medications."
},
"supplements_already_taking": {
"type": "array",
"items": {
"type": "string"
},
"description": "Supplements the user already takes (excluding the one being recommended)."
},
"context": {
"type": "string",
"description": "Optional — why the user wants this supplement (stored for audit only)."
}
},
"required": [
"supplement"
]
}⚪verify_nih_label(supplement)
Verify if a supplement matches a record in the NIH Dietary Supplement Label Database (DSLD). Returns verification status, DSLD ID, and confidence level. Use this when a user asks if a supplement is legitimate or wants to verify label accuracy.
Input Schema
{
"type": "object",
"properties": {
"supplement": {
"type": "string",
"description": "Supplement name to verify against NIH DSLD."
}
},
"required": [
"supplement"
]
}Community
Evidence