"AWS cloud service monitoring" matching MCP servers:

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables AI assistants to convert text to speech using Microsoft Edge's Text-to-Speech service with customizable voice options, speech rate, volume, and pitch parameters.

An MCP server that converts text into lifelike speech using Microsoft Edge's Text-to-Speech service, supporting customizable voice, rate, volume, and pitch.

VoiceLayer MCP server enables AI coding assistants to speak and hear via local, on-device speech-to-text and text-to-speech, with no cloud dependencies.

Provides text-to-speech conversion through a unified MCP interface, supporting both local Kokoro and cloud OpenAI TTS engines with streaming audio, voice selection, and customization via natural language instructions.

Enables local text-to-speech synthesis for Claude and Cursor using Supertonic 3, with support for multiple voices, expressions, and languages. No API key or cloud required.

Enables an AI assistant to have its recent code actions summarized aloud through system speakers, using offline native voices or cloud neural voices. It supports asynchronous playback and voice listing so users can hear what the agent did without reading the full response.

Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.

Enables AI apps to transcribe local audio and video files on the user's own GPU, producing SRT/VTT subtitles and text without cloud uploads. It also helps find media files, list available devices, and list supported languages and models.

Enables integration with VOICEVOX text-to-speech services to convert text into audio using a variety of character voices. It provides tools for speech generation, listing available speakers, and monitoring system health.

MCP server for ElevenReader TTS service. Enables document management, URL/ebook upload, voice configuration, and progress tracking.

Local voice toolkit over MCP: transcribe audio to text in 25 languages, synthesize speech in 9, and list available voices and languages. Runs fully on-device — no API keys, no cloud.

Profile-driven MCP server for Google Cloud Text-to-Speech that exposes tools to synthesize text to speech, run diagnostics, and stop playback, with voice and settings locked per profile.

Enables macOS users to hear short spoken summaries of agent replies using the built-in say command, while keeping full details in the chat. Works with any MCP-compatible host and requires no cloud or API key.

Enables AI coding assistants to verbally announce task progress and events through local text-to-speech, with cloud synthesis via Volcano Engine or Edge TTS, scene-based voice settings, and a Windows SAPI fallback so announcements continue even when the cloud fails.

Provides MCP servers for ElevenLabs (text-to-speech and sound effects) and Meshy.ai (3D generation), with a request preview mode to inspect API calls without incurring costs.

Enables AI agents to list consent-approved cloned voices, render speech into watermarked audio files with quality scores, poll long-running jobs, verify outputs, and guide humans through consent steps, all locally without cloud services.

A multi-provider voice notification MCP server that enables Claude Code to provide auditory alerts for task completions, confirmation requests, and errors. It supports various TTS engines including VOICEVOX, Google Cloud TTS, and OpenAI for customizable voice feedback.

Exposes a text-to-speech announcement tool for the CastleCall home PA system on Raspberry Pi. It enables users to broadcast voice messages using local Piper or cloud-based ElevenLabs providers through the Model Context Protocol.

An MCP server that leverages the Microsoft Edge TTS service to provide high-quality text-to-speech capabilities across over 80 languages. It enables users to generate audio files, query available voices, and create subtitle files using natural language commands.