"Information about MongoDB, a database system" matching MCP servers:

Plays built-in Windows system sounds or WAV files to notify users when tasks finish or need attention, using the winsound module. Provides a single play_sound tool with presets and customizable file paths, repeats, and intervals.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

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.

Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.

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

Provides access to a database of over 8,800 headphones and IEMs for equalization settings, sound signature analysis, and Harman preference scores. It enables AI assistants to search, compare, and recommend headphones based on frequency response measurements and parametric EQ profiles.

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.

Enables integration with VOICEVOX text-to-speech services to convert text into audio using a variety of character voices. It provides tools for speech generation, listing available speakers, and monitoring system health.

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.

Connects Ableton Live to AI through MCP, enabling prompt-assisted music production with extended tools and a 33-personality style system for generating parts in various artist styles.

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.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.

MCP server for interacting with Tdarr, a distributed transcoding system. Provides 21 tools for monitoring workers, managing flows, and controlling transcoding libraries.

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 call-recording upload and retrieval, compliance metadata and tag management, group/account/user administration, REST-hook (webhook) notifications, and Dub.Point telecom-system integration against the Dubber platform. All destructive operations are consent-gated and confirmation-protected.

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

Enables acoustic diagnosis of household appliance faults via real-time FFT spectral analysis, staging matching OEM replacement parts, while enforcing a capability-based information-flow firewall that blocks lethal hazard instructions and prompt-injection attacks at the MCP transport boundary.

Provides access to HISE documentation, including UI component properties, Scripting API methods, and module parameters. It features a searchable database of code snippets and best practices to assist in audio software development.

Local MCP server for macOS that captures microphone input and/or system audio output into explicit, user-defined sessions and exposes the raw WAV audio to AI agents through MCP tools.

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.

Enables agents to conjure individual sounds by semantic text search over a CLAP-embedded audio database and render them into stereo, 5.1, or 7.1.4 spatial mixes, with tools for summing mixes, analyzing a mix's sounds and spatial balance, and mimicking existing mixes. Documentation resources are exposed so the client can read usage guides on demand.

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.

Enables AI assistants to speak aloud by generating and playing audio through the system output. Supports multiple TTS providers, playback queue management, and configurable voice profiles.

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.

Transcribes audio/video files to text using NVIDIA's Parakeet TDT 0.6B V2 model, with optional timestamps; also retrieves model and system hardware info.