"A system for information collection, organization, tracking, categorization, and output" matching MCP servers:

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 ChatGPT to generate ElevenLabs speech from text, returning playable MP3 audio, with voice listing and preference management.

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 high-quality text-to-speech synthesis with 10 natural voices, emotion control, and dynamic pacing for professional applications requiring expressive speech output.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.

Provides local speech-to-text and text-to-speech through MCP and HTTP, enabling transcription, voice output, and standalone voice workflows without a gateway.

Provides speech recognition and synthesis tools via SaluteSpeech API, enabling AI assistants to handle voice input and output.

Enables AI agents to give spoken output by synthesizing text into speech with an on-device neural model and playing it through the user's speakers, entirely offline. Agents can queue spoken summaries and stop playback on demand.

Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

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 speak aloud by generating and playing audio through the system output. Supports multiple TTS providers, playback queue management, and configurable voice profiles.

Enables bidirectional voice interaction for Claude Code using local speech-to-text and text-to-speech models optimized for Apple Silicon. It provides tools to listen to user speech via microphone and speak responses aloud through system speakers.

Enables speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.

A native macOS MCP server for voice input and output, allowing Claude to listen and speak with offline speech recognition and TTS.

Enables turning any company URL into a vertical brand film with script, voiceover, city backgrounds, and MP4 output via 7 MCP tools.

Enables voice interaction with Claude Code through local speech-to-text (Whisper) and text-to-speech (Supertonic), allowing verbal input/output without external API calls.

Enables clients to browse available voices, generate speech audio from text or supported SSML, and produce UK English output via a convenience tool, while keeping API credentials server-side.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

MCP server that enables AI agents to place real Telegram voice calls and speak a message aloud via TTS, with configurable repeats and call handling.

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.