Clarity by Health AI MCP Server

by healthai Your server? Claim it

answering

Clarity by Health AI is answering right now. Last checked 2 min ago. It exposes 9 tools.

Condition-aware ingredient and product checks for agents, with evidence tiers and citations.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 47 days of history

47 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

118 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 7

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 9 August 2026. No other catalogue keeps this.

9 Aug 5 tools changed the parameters they ask for check_ingredient, check_stack, find_alternatives and 2 more

9 Aug 2 tool descriptions were rewritten scan_barcode, validate_claim

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add clarity --transport http https://mcp.healthai.com

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "clarity": {
      "url": "https://mcp.healthai.com"
    }
  }
}

~/.codex/config.toml

[mcp_servers.clarity]
url = "https://mcp.healthai.com"

.cursor/mcp.json

{
  "mcpServers": {
    "clarity": {
      "url": "https://mcp.healthai.com"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "clarity": {
      "url": "https://mcp.healthai.com"
    }
  }
}

Available tools 9

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

alternatives

find_alternatives

Find 2-3 safer swaps for a flagged product: same-category products that rate good/excellent on Clarity's general food/skincare quality score AND contain no ingredient flagged for the given condition lens. Seed by barcode (preferred — e.g. right after scan_barcode flags something) or product_name. Each alternative carries its score, ingredient-recognition coverage, and human_url. The score is a GENERAL quality score, not a condition verdict — verify a chosen alternative with scan_barcode or check_stack. Food and skincare only (supplement swaps are declined honestly for now).

ingredient

check_ingredient

Look up a cosmetic/food/supplement ingredient in Clarity's condition-aware database. Returns verdict, evidence tier (Gold/Silver/Bronze), and citation for a given condition lens. Pass `lenses` (array) instead of `lens` to check several conditions in ONE call (profile-shaped checking, e.g. a user who is pregnant AND has MCAS) — results then carry a per-lens breakdown under `lenses{}`. Every result includes human_url, a live Clarity page to hand the user as the source link.

interaction

check_interaction

Check Clarity's curated ingredient-to-ingredient interaction database. Give one ingredient to list everything it interacts with (e.g. 'iron'), or two ingredients to check a specific pair (e.g. 'calcium' + 'iron'). Returns interaction_type, severity (Beneficial/Moderate/High), mechanism, clinical_note, source, and whether it affects lactation/infant/absorption. Queries both directions of the pair. Absence of a result is NOT proof of safety — the set is curated and growing. Descriptive with sources, not medical advice.

recall

check_recall

Check whether a consumer product or brand has an FDA/consumer recall on file — supplements, food, cosmetics (NOT medical devices). Query by `brand` (primary), optionally narrow by `product_name`. Returns recall_flag, whether any active Class I (most serious) recall exists, and each matching record with classification, reason, date, status, and a source_url to verify. Recall data has no barcode, so matches are brand/name text matches — confirm via source_url. For medical-DEVICE recalls, use the radar MCP (com.healthai/radar).

scan

scan_barcode

Look up a product by barcode (Open Food Facts / Open Beauty Facts), match its ingredients against Clarity's database, return which ingredients are flagged for the given condition lens, AND flag any active FDA recall for the product (recall_flag + recalls[], sourced from FDA — verify via source_url). Anonymous calls are read-only: a local-mirror miss may query the public source but does not refresh Clarity's mirror or harvest tokens. An authenticated caller may opt into each bounded side effect with persist_mirror:true and harvest_crosswalk:true.

score

score_product

Get Clarity's product quality score by barcode. Returns category-specific scores (food: nutrition/additive/processing/organic; skincare: irritation/allergen/endocrine/condition; supplement: transparency/safety/label_quality/complexity — dose transparency penalizes proprietary blends, safety flags high-risk botanicals) — these are DISTINCT and never merged — plus per-lens fit with match coverage. Always includes data_quality/coverage so a score is never given without its confidence.

stack

check_stack

Audit a supplement/ingredient STACK in one call: per-item condition-lens verdicts (evidence-graded, cited where citations exist) PLUS every curated ingredient-to-ingredient interaction found WITHIN the stack (type, severity, mechanism, source). Use when a user takes multiple supplements together. Supports multi-lens via `lenses`. Absence of an interaction is NOT proof of safety — the curated set is growing. Every result includes human_url for the user.

strain

strain_lookup

Look up a cannabis or mushroom species/strain in Clarity's database. Returns verdict, evidence tier, PMID citation, and safety flags.

validate

validate_claim

Fact-check a free-text health/safety claim against Clarity's human-curated, evidence-graded database. Given a statement (e.g. 'fenugreek is safe while breastfeeding') and a condition lens, returns whether Clarity's curated position supports / contradicts / does-not-cover it, plus any verified citation on file. Anonymous calls never write the review queue. An authenticated caller may explicitly opt into a bounded, redacted review signal with review_consent:true. Do not include personal information. Descriptive — not medical advice.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.healthai.com	streamable-http	answering	102 ms	2 min ago

Alternatives to Clarity by Health AI

same job, measured the same way

Feason Context

by feason-com

Christian source evidence for AI agents, with provenance, tradition coverage, and citation checks.

answering

The Poliety

by dburks-svg

AI news for agents: editions, change feeds, integrity proofs, and governed events with evidence.

41 installs/wk local only

Evidence Gate

by dailyaiagents

Local checks for artifacts, declared claim evidence, and citation containment.

273 installs/wk local only

LastSearch

by lastsearch-hq

Evidence-backed web research for AI agents with citations and confidence scores.

279 installs/wk local only

Zentrik

by zentrik

Product context for AI agents: evidence, opportunities, initiatives, and decisions.

answering

Fixed Income MCP

by joselillotrax-cell

Bond pricing, duration, DV01 and convexity for AI agents, with numerical cross-checks built in.

local only

agent-tool

by knewstimek

Encoding-aware, indentation-smart file tools for AI coding agents with SSH, SFTP, and 20+ tools.

local only

Cleotic

by generaldataworks

AI brand visibility, competitor mentions and citation evidence for agents. Cleotic account required.

answering

Clarity by Health AI — questions

Answers built from our own checks of this server.

What can Clarity by Health AI do?

It exposes 9 tools, read directly from the server on our last check. Among them: check_ingredient, check_interaction, check_recall, check_stack, find_alternatives, scan_barcode and 3 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Clarity by Health AI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 118 ms. The bar chart above shows every period we have measured.

Is Clarity by Health AI still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect Clarity by Health AI?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Clarity by Health AI need an API key?

No. Clarity by Health AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Clarity by Health AI?

It answers our handshake in 118 ms on average, which is faster than 81% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.