"Information about voice or speech-related topics" matching MCP servers:

A Model Context Protocol server that provides text-to-speech capabilities using the Kokoro TTS model, offering multiple voice options and customizable speech parameters.

Local MCP server for neural text-to-speech using Kokoro ONNX engine on CPU, supporting SSML tags, multiple voice profiles, and zero-GPU operation for low-latency speech synthesis.

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

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

Enables voice-coaching hosts to analyze speech across delivery, language, fluency, pronunciation, and emotional state, then synthesize structured coaching feedback that can be spoken aloud.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Enables AI assistants to synthesize speech in a custom cloned voice and present it through an inline audio player with waveform visualization and transcript toggle.

Exposes push-to-talk speech tools to an agent: check whether the offline ASR daemon is ready, wait for the user to confirm something aloud without auto-submitting that utterance, and interrupt the current turn when the user speaks a stop phrase.

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 coding agents to synthesize and play concise spoken summaries of their work through multiple TTS providers, including Azure, OpenRouter, OpenAI, Gemini, ElevenLabs, and local OpenAI-compatible endpoints. It also lets agents stop playback on demand and check which provider, voice, and audio bridge are currently active.

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 Google Antigravity IDE to invoke local Windows Text-to-Speech tools for speaking text, listing available voices, and adjusting voice, rate, and volume via MCP.

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 transcription of local audio recordings and comparison of the resulting transcript—or two supplied texts offline—against a reference script to flag suspected omissions, additions, and substitutions.

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

Enables local voice cloning and multi-take text-to-speech synthesis on Apple Silicon, plus audio/video transcription and subtitle generation, through Claude and other MCP clients.

Enables AI agents to synthesize and play short summaries aloud while keeping full answers on screen, with queued speech and stop control using online natural voices or offline synthesis.

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 agents to generate and play GLaDOS-style text-to-speech through a shared local daemon, with one-voice-at-a-time coordination plus status and stop controls.

Enables Alexa+ clients to monitor live calls for voice-clone and scam-pressure risk, verify a caller with a real family member, review alert history, and reset call state through MCP tools.

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.

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.

An MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.

An MCP server that converts short text summaries into spoken audio and plays them locally, designed for coding agents like Claude Code to announce task results.

Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

Give Claude ears: a local MCP server that records your mic and measures singing pitch (cents, vibrato, MIDI alignment), English pronunciation phoneme by phoneme, and public-speaking pace, pauses and filler words. Audio is analyzed on your computer with open models; a bundled skill turns Claude into a voice coach that tracks your progress.

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