"Creating a Postgres MCP server in Python" matching MCP servers:

Enables AI assistants to perform video and audio processing tasks such as format conversion, cutting, merging, and adding effects via FFmpeg, with hardware acceleration support.

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.

MCP server that synthesizes Claude Code responses into Japanese speech using VOICEVOX, enabling audible feedback during development.

Enables AI-driven MIDI composition with chord name support, interactive piano-roll preview, and multiple deployment modes.

Enables AI-powered podcast generation with single or dual speakers, FlowSpeech audio creation from text/URLs, speaker voice library management, and subscription tracking for ListenHub Pro users.

Enables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.

MCP server for parsing Douyin links to fetch video info/download links, transcribing audio locally, and organizing transcripts into polished spoken copy.

Enables conversational live coding with Claude AI and TidalCycles, allowing users to create and manipulate algorithmic music patterns through natural language.

Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider. Features 10 built-in synth types, pattern sequencing, audio recording, and server lifecycle management for creating sounds from simple English descriptions.

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

Enables Claude Desktop and other MCP clients to generate images, videos, music, and audio using Fal.ai models. Supports text-to-image generation, video creation, music composition, text-to-speech, audio transcription, and image enhancement through natural language prompts.

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

Integrates with ElevenLabs text-to-speech API.

Generate images, video, and audio directly in Claude Code, Cursor, Windsurf, or any MCP-compatible AI agent. 20+ models — Flux, GPT-Image-1, Imagen 4, Grok Imagine, Seedance, ElevenLabs TTS, and more. Free models work without an API key. Paid models require a Pollinations key.

Enables audio uploads and MYO card creation for Yoto players directly from the terminal, using OAuth authentication and Warp AI integration.

Provides a audio/video creation toolbox via MCP protocol, enabling natural language-based video editing tasks such as image-to-video, video merging, subtitle extraction, and more.

Enables advanced audio transcription, text-to-speech generation, and audio processing using OpenAI's Whisper and GPT-4o models with support for multiple audio formats, file management, and parallel processing.

Enables AI assistants to control Spotify playback, manage playlists, and plan DJ sets using BPM, key, and energy data.

Enables AI-powered manipulation of Cardinal/VCV Rack modular synthesizer patches, allowing users to create, analyze, modify, and connect modules and cables through natural language.

Enables text-to-speech functionality on macOS using the say command, offering extensive control over speech parameters like voice, rate, volume, and pitch for a customizable auditory experience.