# Decibel Shield — Noise & Decibel Data

> Decibel Shield — Noise & Decibel Data — myappstackdev-decibel-shield. Use this tool when you need to analyze and understand noise levels in various cities or environments, as it provides access to estimated and measured noise data for major world cities and everyday sounds. It solves problems related to noise pollution, sound level measurement, and safe exposure times, offering a range of functions from noise level lookup to safe exposure time calculation. With a simple interface requiring no authentication or configuration, it outputs relevant noise data and rankings, making it ideal for AI agents needing to incorporate noise-related insights into their decision-making processes.

Canonical page: https://skillsregistry.net/skills/myappstackdev-decibel-shield  
JSON: https://api.skillsregistry.net/v1/skills/myappstackdev-decibel-shield

## Description

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/

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/myappstackdev/decibel-shield)

## 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": "myappstackdev-decibel-shield"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/myappstackdev-decibel-shield` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/myappstackdev-decibel-shield/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