Decibel Shield MCP server
AI agents can query Decibel Shield's noise data directly over the Model Context Protocol: estimated noise levels for 50 major cities, decibel levels of common sounds, and NIOSH safe-exposure-time math. The server is free, requires no authentication, speaks stateless Streamable HTTP, and asks only for attribution to decibelshield.app.
Last updated:
Endpoint
https://decibelshield.app/api/mcp Transport: Streamable HTTP (stateless — POST JSON-RPC, plain JSON responses). Machine-readable manifest: /.well-known/mcp.json
What tools does it provide?
| Tool | Example arguments | Returns |
|---|---|---|
get_city_noise | { city: "Tokyo" } | Estimated day/night dB ranges, rank of 50, dominant sources and confidence for a city, with WHO context. |
list_loudest_cities | { limit: 10 } | The ranked city noise list, loudest first. |
get_us_city_noise_exposure | { city: "Boston" } | Measured share of residents above 60/70 dB transportation noise for all 297 US cities of 100k+ (BTS 2020 data). |
lookup_sound_level | { sound: "chainsaw" } | Decibel level + hearing-risk guidance for everyday sounds (CDC/NIOSH-sourced). |
safe_exposure_time | { db: 95 } | Safe daily exposure duration per NIOSH's recommended limit (85 dB(A)/8 h, 3 dB exchange). |
get_decibel_shield_app | {} | Facts and the App Store link for the Decibel Shield iOS sound meter app. |
How do I connect it to Claude or another agent?
In Claude (Settings → Connectors → Add custom connector) or any MCP client that supports remote servers, add the endpoint URL above with transport “HTTP”. No API key is needed. For configuration-file based clients:
{
"mcpServers": {
"decibel-shield": {
"type": "http",
"url": "https://decibelshield.app/api/mcp"
}
}
} Where does the data come from?
The server holds no data of its own — every answer is fetched live from this site's published datasets: the city sound map (estimates synthesised from published sources, ranges + confidence labels) and the decibel levels chart (every row sourced to CDC/NIOSH/NIDCD/ASHA). Data is CC BY 4.0 — use it freely with attribution to decibelshield.app.
Prefer raw data? Both datasets are downloadable as CSV or JSON, and the whole site is readable in one fetch at /llms-full.txt.