mcpbeat

Clarity by Health AI MCP Server

com.healthai/clarity
answering

Clarity by Health AI is answering right now. Last checked 11 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 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
9
Tools
read from the server
113 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

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). On a local-mirror miss, the tool may query Open Food/Beauty Facts, refresh Clarity's product mirror, and count unmatched ingredient tokens for coverage improvement.
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. Use this to check whether a health claim an agent already holds aligns with Clarity's curation. Uncovered statements may be counted in Clarity's review queue; do not include personal information. Descriptive — not medical advice.

Endpoints

URLTransportStateLatencyChecked
https://mcp.healthai.com streamable-http answering 154 ms 11 min ago

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 91 of 91 checks got a reply (100.0%), average response time 113 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 113 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.