# Knitify Health Research API

> Use this tool when you need to access reliable health research information, analyze health products, or find clinical evidence to inform your decisions. The Knitify Health Research API solves problems related to health research, product verification, and clinical trial discovery, providing structured JSON output with verified citations. It takes in health-related questions, product URLs, or research topics as input and returns typed JSON output in 7 languages, making it ideal for AI agents in healthcare and scientific applications.

Canonical page: https://skillsregistry.net/skills/knitify-research-api  
JSON: https://api.skillsregistry.net/v1/skills/knitify-research-api

## Description

PubMed research tools for AI agents — 3 tools, structured JSON output, verified citations.                                                                                                                         
1. research — Ask any health or science question and get a fully cited research article backed by real PubMed papers with PMIDs.                      
2. analyze_product — Point to any health product URL and get a PubMed-backed evidence analysis of its ingredients and claims. Perfect for science-backed product research, marketing, and commercialization.
3. find_clinical_evidence — For any health research question, get a research report backed by PubMed literature and recruiting clinical trials from ClinicalTrials.gov relevant to your target conditions or interventions.

All tools return typed JSON via outputSchema — not raw abstracts. 7 output languages. Credit-based pricing.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/knitify/research-api)

## 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": "knitify-research-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/knitify-research-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/knitify-research-api/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