"Air Canada" matching MCP servers:

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.

High-quality speech-to-text transcription using Zhipu AutoGLM ASR, supporting long audio chunking, context-aware modes, and timestamp segmentation.

Barevalue edits podcast audio. Hand over a raw recording by link or from disk and get back a finished episode: noise and levels fixed, filler words and dead air removed, plus a transcript, show notes and highlight clips for longer episodes. An agent can sign up and place an order with no human step.

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.

Controls Ableton Live from an AI assistant with ~130 commands for tracks, instruments, effects, MIDI clips, automation, and mixing.

Enables AI assistants to read and control FL Studio 2025 projects via file-based RPC and MIDI wake, overcoming sandbox restrictions for tempo, mixer, and note recording.

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 MCP clients to compose and render full songs locally using real sampled instruments, amp captures, AI vocals, and automated mixing/mastering, returning MP3/WAV/MIDI and stems.

Music Production AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI agents to produce professional promo videos by providing tools for capture, media search, scene writing, rendering, editing, and incremental revision.

Enables AI agents to create and edit Strudel music code, render offline WAV audio, and obtain structured hearing reports with waveform, spectrogram, BPM, and onset analysis.

AI-powered music production toolkit enabling AI agents to generate, remix, separate stems, master tracks, and control DAWs via MCP.

Minimal MCP server for local speech recognition using faster-whisper. Runs on CPU, no cloud required.

Enables decoding of acoustic signals such as fundamental frequency, speaking rate, jitter, and pause ratio together with semantic sentiment to infer high-dimensional emotional states and emit real-time expressive TTS prosody directives. It runs as a zero-dependency JSON-RPC 2.0 MCP server over stdio, exposing these capabilities as callable tools.

Exposes an MCP tool that fuses acoustic prosody measurements (F0, speaking rate, jitter, pause ratio) with semantic sentiment to infer high-dimensional emotional states from speech. Returns tone, speaking-rate multiplier, and pitch-shift directives so agents can drive real-time expressive TTS modulation through JSON-RPC over stdio.

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

A beta server that enables integration with Daisys.ai services via the Message Control Protocol (MCP), allowing AI clients like Claude Desktop and Cursor to use Daisys features through a standardized interface.

Enables AI coding agents like Cline to analyze video, audio, PDFs, and images by sending files to OpenRouter's multimodal models. It also provides a CLI and Python module for media analysis, with support for time-range trimming, PDF OCR, and multiple models.

Enables AI assistants to programmatically edit, analyze, and export audio projects through MCP tools, including multi-track editing, effects, transcription, and semantic search.

Generates room impulse responses as WAV files from natural language descriptions, enabling agents to create realistic or arbitrary reverb for audio production.