# Clarity MCP

> Clarity MCP — thehealthai-clarity-mcp. Use this tool when you need to verify the safety of ingredients and products with evidence-based intelligence. The Clarity MCP provides condition-aware safety information, delivering claim-level evidence attestation, verdict, and citation from authoritative sources. Ideal for AI agents requiring reliable and curated data, it offers a hosted server with a simple JSON-RPC 2 endpoint for seamless integration.

Canonical page: https://skillsregistry.net/skills/thehealthai-clarity-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thehealthai-clarity-mcp

## Description

Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI.
Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pkevg72fvr)
- **Repository:** <https://github.com/thehealthai/clarity-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "thehealthai-clarity-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thehealthai-clarity-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thehealthai-clarity-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt