"Latest API Documentation for Language Models" matching MCP servers:

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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.

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

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.

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).

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

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.

MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.

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

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

Enables pay-per-call access to 90+ generative AI models and utility tools via any MCP client, with no signup or API key, using wallet-based USDC payments on Base, Tempo, or Solana.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Turns text into local audio files (MP3) via OpenRouter speech models, enabling AI coding agents to generate voiceover narrations for video production.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Enables AI agents to generate speech using Gemini TTS models, with tools for text-to-speech, task polling, and pricing checks.

MCP server for Suno music generation API that enables generating lyrics and custom songs with style tags, model selection, and automatic polling for task completion.

Enables text-to-speech generation via Fish Audio models, including voice library browsing and task management.