#noise

A Model Context Protocol (MCP) server built for Nero AI, offering seamless access to a full suite of AI-powered image processing tools — including high-fidelity upscaling, photo restoration, noise reduction, background removal, colorization, and intelligent compression. Ideal for enhancing old or low-resolution images, streamlining creative workflows, and powering modern image editing pipelines with fast, reliable, and high-quality results.

A Model Context Protocol (MCP) server built for Nero AI, offering seamless access to a full suite of AI-powered image processing tools — including high-fidelity upscaling, photo restoration, noise reduction, background removal, colorization, and intelligent compression. Ideal for enhancing old or low-resolution images, streamlining creative workflows, and powering modern image editing pipelines with fast, reliable, and high-quality results.

Noise data tools for AI agents — free, no auth, no config. Estimated noise levels for 50 world cities (ranked, WHO-anchored), measured noise-exposure rankings for the 100 largest US cities (federal BTS data), decibel levels of common sounds (CDC/NIOSH-sourced), NIOSH safe-exposure-time math, and info on the Decibel Shield iOS sound meter. Typed structured output on every tool. Data CC BY 4.0 — please cite decibelshield.app. Endpoint: https://decibelshield.app/api/mcp (Streamable HTTP). Docs: https://decibelshield.app/mcp/