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by Mert Düzgün
MCP servers/Media & Entertainment
decibri avatar

Mcp Listen

decibri/mcp-listen

Adds three microphone tools to your MCP client: list available audio devices, capture audio to WAV files, and run a full offline voice pipeline. The voice_query tool chains capture, whisper.cpp transcription, and local Ollama inference so you can speak questions and get LLM responses without any cloud services. Built on decibri for cross-platform audio capture with no external dependencies like ffmpeg. You specify recording duration upfront since there's no voice activity detection yet. Works with Claude Desktop, Cursor, and other MCP clients. Useful when you want voice input without API calls or when building offline voice workflows.

GitHub stars
10
tools
3
transport
STDIO
last updated
Oct 13, 2026
View on GitHubSave

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

list_audio_devicesList available microphone input devices

List available microphone input devices

No parameter schema in public metadata yet.

capture_audioRecord audio from the microphone and save as WAV

Record audio from the microphone and save as WAV

No parameter schema in public metadata yet.

voice_queryCapture, transcribe on this machine (whisper.cpp), and query a model through the local Ollama daemon

Capture, transcribe on this machine (whisper.cpp), and query a model through the local Ollama daemon

No parameter schema in public metadata yet.

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Readme

Decibri mcp-listen

mcp-listen

Give your AI agents the ability to listen


View the full README on GitHub

Details

Repository
github.com/decibri/mcp-listen
Category
Media & Entertainment
Package
mcp-listen
Transport
STDIO
Registry
MCP registry, active

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