"An MCP to access OpenAI's RAG system via API" matching MCP servers:

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.

Plays built-in Windows system sounds or WAV files to notify users when tasks finish or need attention, using the winsound module. Provides a single play_sound tool with presets and customizable file paths, repeats, and intervals.

Provides LLMs with full access to the Ken Video API for professional video processing, including adding audio, captions, and job management.

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

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

MCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).

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.

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 conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables seamless integration with Typecast API through the Model Context Protocol, allowing clients to manage voices, convert text to speech, and play audio in a standardized way.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables bounded, schema-validated automation of FMOD Studio game audio through MCP/CLI workflows, including inspection, safe mutations, previews, receipts, and high-level workflows for events, assets, parameters, adaptive music, spatial audio, banks, and mixer/routing.

Enables AI agents and developers to generate images, videos, audio, and text using 100+ models via MCP or REST with a single API key.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

A low-latency text-to-speech MCP server that uses local Kokoro GGUF inference via TTS.cpp, providing say, get_voices, and get_status tools for AI agents to synthesize speech and manage playback queues.

Enables coding agents to synthesize and play video-game sound effects by translating natural-language descriptions into layered synthesis specs, then rendering normalized WAV files.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

Converts text summaries to speech using OpenAI's TTS API and plays them in the background across all major platforms.

Enables AI agents to transcribe local audio files or URLs into text with timestamps, chunking, and server status checks.