smithery Safe content atomic mcp-remote

Cosmetic Regulatory Intelligence

Structured Safety Intelligence for cosmetic formulation. Query 38,411 NOAEL records, 68,540 pre-calculated Margin of Safety values, and 25,157 jurisdictional regulatory opinions across 12 markets (EU, US FDA, Korea MFDS, Japan MHLW, ASEAN, Saudi SFDA, Canada, Australia, ECHA SVHC, CA Prop 65, CA TFCA, WA TFCA). Tools: check_ingredient, check_formula, search_ingredients, calculate_mos. v1.1.0: every ingredient response includes full jurisdictional_profile across all 12 jurisdictions.

Cognium trust score

30%

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. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: Smithery
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Cosmetic Regulatory Intelligence 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"