smithery Safe content atomic mcp-remote

Decibel Shield — Noise & Decibel Data

Noise data tools for AI agents — free, no auth, no config. - **get_city_noise** — estimated noise levels for 50 major world cities (ranked, WHO-anchored) - **get_us_city_noise_exposure** — measured noise exposure for the 100 largest US cities (federal BTS data) - **list_loudest_cities** — the global ranking - **lookup_sound_level** — decibel levels of everyday sounds (CDC/NIOSH-sourced) - **safe_exposure_time** — NIOSH safe-exposure math for any dB level - **get_decibel_shield_app** — about the Decibel Shield iOS sound meter Data is CC BY 4.0 — please cite decibelshield.app. Docs: https://decibelshield.app/mcp/

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 2026-08-29.

Scan details: Circle-IR · 2026-08-29 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
Smithery
Author type
human
Last scanned
2026-08-29
Updated
2026-08-29
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Use via MCP

MCP

Resolve Decibel Shield — Noise & Decibel Data 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.

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