"Google Cloud Platform (GCP)" matching MCP servers:

Enables AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

MCP server that provides a transcribe_audio tool to convert voice messages from channels into text using OpenAI Whisper, enabling Claude Code to process audio attachments.

Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files.

Turns a YouTube link into a readable, timestamped Markdown transcript by preferring existing subtitles and falling back to local Whisper transcription, with optional Traditional-to-Simplified Chinese conversion and Obsidian-friendly output.

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.

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 transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

MCP server for Astra's Companion API v2 that lets Claude and other MCP clients view and control a running Astra desktop music player, including playback, search, queue, favorites, and playlists.

Enables MCP-capable chats and agents to generate images, video, and audio through OpenAI, Google Gemini, fal.ai, and Cloudflare Workers AI, optionally routed via Cloudflare AI Gateway. Supports image editing, asynchronous video jobs, and text-to-speech with per-request provider and model overrides, and can run over stdio or streamable HTTP.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Enables MCP clients to measure a track's loudness and peak levels, strip artifacts left by AI generators, compare mastering presets, and master single tracks or batches to streaming targets via a hosted remote server or a local stdio bridge. Tracks are supplied as public HTTPS links, with analysis, cleanup and previews free and full masters limited by a daily free quota or credits.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

Enables generating images, video, audio, and speech from MCP clients using your own Vidofy account, with access to hundreds of models for text-to-video, image-to-video, image editing, lipsync, text-to-speech, and voice cloning.

Transcribe audio/video URLs and detect silence for cutting, with pay-per-call billing in USDC via x402, no account or API key required.

A modular suite of MCP servers for Audiokinetic Wwise, enabling AI agents to browse, edit, audition, profile, and build Wwise projects through the Wwise Authoring API.

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

A Model Context Protocol implementation that plays sound effects (completion, error, notification) for Cursor AI and other MCP-compatible environments, providing audio feedback for a more interactive coding experience.

Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.

MCP server exposing IAMF conformance validation and packaging tools, enabling agents to validate IAMF files and compile/manage packaging plans through natural language, with read-only operation by default and optional execution.