smithery Safe content atomic mcp-remote

Knitify Health Research API

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.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: Smithery
Author type: human
Updated: 2026-05-11

View source Find related skills

MCP

Resolve Knitify Health Research API from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"