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  3. Clarity by Health AI
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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/10/2026, 11:25:26 PM

Clarity by Health AI

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Condition-aware ingredient & product safety for AI agents: verdict, evidence tier, citations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "clarity-by-health-ai-2": {
      "command": "npx",
      "args": [
        "-y",
        "clarity-by-health-ai-2"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ”¬ More in Research

Documentation Overview

Clarity MCP β€” com.healthai/clarity

Clarity is a condition-aware ingredient checker and scanner for wellness, fitness, tracker, and health-AI workflows. Results can include a verdict, an evidence tier (Gold/Silver/Bronze), and citations when available.

Hosted MCP server β€” no install and no key required for anonymous, rate-limited access. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2.0). Published to the official MCP Registry as com.healthai/clarity (domain-verified namespace).

For a human-readable implementation guide covering Claude.ai, Claude Code, OpenAI's Responses API, generic remote MCP configuration, tool boundaries, and the MCP-versus-REST decision, see healthai.com/clarity/mcp.

Use it

Claude Code:

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

Claude Desktop / Cursor / any client with native remote MCP β€” add to the config's mcpServers:

config.json
{
  "mcpServers": {
    "clarity": {
      "type": "streamable-http",
      "url": "https://mcp.healthai.com"
    }
  }
}

For older clients without native remote support, bridge with mcp-remote: "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.healthai.com"].

OpenAI Responses API: pass the hosted endpoint as a remote MCP tool and keep approvals enabled while evaluating it:

server.ts
import OpenAI from "openai";

const client = new OpenAI();
const response = await client.responses.create({
  model: "gpt-5.6",
  tools: [{
    type: "mcp",
    server_label: "clarity",
    server_url: "https://mcp.healthai.com",
    require_approval: "always"
  }],
  input: "Audit iron, calcium, and magnesium for pregnancy and interactions."
});

Tools (9)

ToolWhat it answers
check_ingredientVerdict + evidence tier + citation for a cosmetic/food/supplement ingredient, under one condition lens or several at once (lenses: [..])
check_stackAudit a supplement stack in one call: per-item condition verdicts plus every curated interaction within the stack
find_alternativesSafer same-category swaps for a flagged product β€” general quality-score ranked, lens-flag screened, coverage-honest (food/skincare; verify the pick with scan_barcode)
strain_lookupVerdict, tier, PMID citation and safety flags for a cannabis or mushroom species/strain
scan_barcodeLook up a product by UPC/EAN, flag its ingredients for a condition lens, and surface any active FDA recall
validate_claimFact-check a free-text health claim against Clarity's curated position β€” supports / contradicts / does-not-cover, with citation
check_interactionCurated ingredient-to-ingredient interactions β€” type, severity, mechanism, clinical note, source (single or pair)
score_productCategory-specific product quality score by barcode (food / skincare / supplement), each dimension distinct, always with data-quality coverage
check_recallConsumer-product recall matches by brand and optional product name, with source URLs and a medical-device scope boundary

Condition lenses: breastfeeding, lactation, pregnancy, histamine, mcas, rosacea, hs, allergy, all.

Every result includes human_url β€” a live Clarity page for that exact answer (gated against the site's keep-list so it never 410s), for agents to hand their user as the source link. The server also exposes MCP prompts (audit_supplement_stack, fact_check_health_claim, product_safety_check) and resources (clarity://methodology, clarity://lenses).

Anonymous use is rate-limited to 60 tool calls/min per IP (Durable Object limiter); add an X-API-Key header for higher metered limits. The scan_barcode live fallback can refresh Clarity's product mirror and count unmatched ingredient tokens. Uncovered validate_claim statements can be counted in the review queue, so inputs must not contain personal information. Descriptive β€” not medical advice; absence of a flag is not proof of safety.

For MCP transport security, non-browser clients may omit Origin. Requests to the MCP endpoint that include Origin must match the requested endpoint's origin exactly; mismatches return HTTP 403.

Data handling

Tool inputs can include ingredient or product names, condition lenses, supplement stacks, barcodes, ingredient pairs, and free-text health claims. Every tool call writes bounded operational telemetry for reliability, abuse prevention, and latency monitoring. That telemetry includes the tool name, keyed/anonymous status, condition lens, a short request fingerprint, status, and duration; it does not include raw tool arguments. scan_barcode may query Open Food Facts or Open Beauty Facts and refresh a private Clarity mirror. Uncovered validate_claim text may enter a private review queue.

Do not send names, contact details, medical records, or other personal information. Review the public privacy policy before connecting this server.

Runnable direct, LangChain, LlamaIndex, Cloudflare Agents, and Hugging Face client examples live in examples/mcp.

This repository is the curated public developer surface for the hosted server: setup, examples, metadata, and the stdio bridge. Production implementation, deployment configuration, credentials, and operational data are maintained separately.

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Frequently Asked Questions about Clarity by Health AI

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "clarity-by-health-ai": { "command": "npx", "args": ["-y", "Clarity by Health AI"] } }

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Technical Specs & Signals

CategoryπŸ”¬Research
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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