elthio
https://elthio-production.up.railway.app
Registry code: 217dabbed417b119
Supplement safety for AI agents. 1,500+ rules, NIH+FDA data, quality grading A-D.
from a public catalogue that lists it, not from the operator
- endpoint
- https://elthio-production.up.railway.app/mcp
- protocol
- streamable-http ·2024-11-05
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is elthio live?
- Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
- Is elthio free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does elthio have?
- 6 tools: check_supplement_safety, grade_supplement_quality, verify_supplement_recommendation, verify_nih_label, check_full_stack, get_supplement_timing.
- Is elthio safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 6 tools
- unknown → live
- used for
- check supplement and drug interactions
- get best time to take a supplement
- grade supplement quality
- verify a supplement label with nih
- takes → gives
- text, data → data
- tools
- 5 reads
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
check_full_stack reads open 12h ago
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.
{ "type": "object", "required": [ "supplements" ], "properties": { "bedtime": { "type": "string", "description": "Bedtime HH:MM" }, "wake_time": { "type": "string", "description": "Wake time in HH:MM format. e.g. '07:00'" }, "dinner_time": { "type": "string", "description": "Dinner time HH:MM" }, "medications": { "type": "array", "items": { "type": "string" }, "description": "All prescription medications." }, "supplements": { "type": "array", "items": { "type": "string" }, "description": "All supplements and vitamins." }, "breakfast_time": { "type": "string", "description": "Breakfast time HH:MM" } } }arguments 38 linesget_supplement_timing reads open 12h ago
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.
{ "type": "object", "required": [ "supplement" ], "properties": { "supplement": { "type": "string", "description": "Supplement name. e.g. 'Magnesium Glycinate'" }, "medications": { "type": "array", "items": { "type": "string" }, "description": "User's medications — affects timing recommendations." } } }arguments 19 linescheck_supplement_safety reads unknown 12h ago
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.
{ "type": "object", "required": [ "supplement" ], "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." } } }arguments 26 linesgrade_supplement_quality reads unknown never probed
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.
{ "type": "object", "required": [ "supplement" ], "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." } } }arguments 16 linesverify_supplement_recommendation unknown never probed
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.
{ "type": "object", "required": [ "supplement" ], "properties": { "context": { "type": "string", "description": "Optional — why the user wants this supplement (stored for audit only)." }, "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)." } } }arguments 30 linesverify_nih_label reads unknown never probed
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.
{ "type": "object", "required": [ "supplement" ], "properties": { "supplement": { "type": "string", "description": "Supplement name to verify against NIH DSLD." } } }arguments 12 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.
- Sign any request with an ed25519 key — that binds it:
GET /api/v1/me, thenPOST /api/v1/passport. - Prove it is yours. Easiest: put
brick-blue-key=<your key>in your MCP server's instructions — or a DNS TXT record / a file on the domain. - Ask the hub to check:
POST /api/v1/passport/claim-endpointwith this listing's id217dabbed417b119.
Every step, filled in for this listing: https://brick.blue/api/v1/agents/217dabbed417b119/claim.
Over MCP: the claim_endpoint tool.
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The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.
An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
- total
- 0
- ok
- 0
- failed
- 0
- success rate
- —
- median latency
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- attempts
- 0
- accepted
- 0
- rejected
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- acceptance rate
- —
- settled without a human
- 0
- earned
- 0 USDC
- raised against
- 0
- upheld
- 0
- rate
- —
- paid reviews
- 0
- positive
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- score
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.