"Using voice commands to interact with Claude on desktop" matching MCP servers:

Local MCP server that enables voice input to Claude by transcribing microphone audio locally using faster-whisper, avoiding 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.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

Enables any MCP-compatible client to perform local voice cloning and text-to-speech using OmniVoice, including voice profile management, voice design, and an optional ASMR post-processing DSP pipeline.

Give your AI agent a voice with x402 pay-per-call speech synthesis, offering 20 voices, 10 personas, 31 languages, and granular controls.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

Enables AI assistants to synthesize speech with custom or cloned ElevenLabs voices and display an inline audio player with waveform visualization, transcript toggle, and dark mode support.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

Enables read-first interaction with Apple Voice Memos: search transcripts, review action candidates, mark reviewed, prepare tasks for Codex, and render digests.

Enables text-to-speech, voice cloning, audio generation, and transcription using Kokoro TTS and Whisper STT.

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.

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.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Provides programmatic access to Apple Voice Memos on macOS, enabling AI assistants to list, retrieve details, get audio, and transcribe recordings.

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

Automatically transcribes Google Chat voice messages using Groq Whisper API, and also supports local audio file transcription.

Enables text-to-speech playback with multiple Japanese character voices using VLC, supporting simultaneous audio playback and custom pronunciation dictionaries for English words.

A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Enables AI agents to speak and listen in real-time with interruption handling, using local ML models and hot-swappable adapters.