"Information about Snowflake Data Warehouses" matching MCP servers:

Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.

Enables natural language control of Pure Data patches through Claude AI, allowing dynamic creation, modification, and DSP control via the Model Context Protocol.

AI-native timeline editor for short-form video. Your agent cuts, captions, adds motion graphics and renders against a real, editable timeline over MCP — not a render queue. Human-in-the-loop by design: it calls request_review and waits while you supervise in a browser. Local-first and AGPL; your footage never leaves your machine.

Enables agentic interaction with vanilla Pure Data by providing tools for live patch creation, inspection, and manipulation via an MCP server that synchronizes with a Pd bridge patch.

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Enables AI agents to enroll and verify voice samples against known identities, providing honest confidence signals about voice authenticity.

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.

Enables local inspection of Apple MainStage state and patch/set information, plus MIDI control such as program changes, CC, and metronome toggle via MCP.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

Connects AI coding agents to PreSonus StudioLive III mixers over the local network, exposing live mixer context such as channel names, mute/solo/fader state, Fat Channel compressor/EQ models, and meter activity as MCP resources and tools for reading and reasoning about live sound engineering.

Enables agents to build, verify, and render Pure Data instruments using a knowledge bank of verified modules and accumulated lessons.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.

Enables text-only AI agents to ask questions about images, audio, and video by passing file paths or URLs to a multimodal model and returning text answers.

Enables AI-powered music composition and synthesis by generating Pure Data patches, VCV Rack modules, and MIDI controller mappings through natural language.

Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.

Chat with your Ableton Live session in natural language. Provides real-time access to session data, parameter control, and mix analysis via an MCP server and Max for Live device.

Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.

Enables AI assistants to search Spotify, manage playlists, control playback, and access personal listening data via the Spotify Web API.

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

Enables AI assistants to control and interact with Spotify playback, manage playlists, search for music, and retrieve user listening data through natural language.

Enables bidirectional conversion of DJ library data—cues, loops, cue colors, and playlists—between Rekordbox 6/7 and Serato DJ Pro, with read-only previews and staging-safe writes.

Control and live-patch Pure Data from AI agents via the Model Context Protocol.