Is io.github.decibri/mcp-listen safe to use?

io.github.decibri/mcp-listen has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.decibri/mcp-listen?

io.github.decibri/mcp-listen can be installed by cloning its GitHub repository and following the setup instructions in the README.

io.github.decibri/mcp-listen

Give your AI agents the ability to listen. Microphone capture and speech-to-text.

UnknownNot tested

AI / ML

GitHub

15FNo CVEsunknown

Quick Install

{
  "mcpServers": {
    "io-github-decibri-mcp-listen": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-decibri-mcp-listen)](https://mcppedia.org/s/io-github-decibri-mcp-listen)

Should you use this server?

Give your AI agents the ability to listen. Microphone capture and speech-to-text.

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

Is it maintained?

Commit history unknown.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

Loading README…

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Score Breakdown

MCPpedia Score

Click each category to see evidence

15F

Last scored 13h ago

How we score →

Security

2/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.decibri/mcp-listen safe to use?: io.github.decibri/mcp-listen has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.decibri/mcp-listen?: io.github.decibri/mcp-listen can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.decibri/mcp-listen?: io.github.decibri/mcp-listen is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

Similar servers

View all →

Sequential Thinking MCP Server

OfficialNo CVEs98A

Dynamic problem-solving through sequential thought chains

1 toolsstdio84.0k112.2k/wk3d ago

XcodeBuildMCP

OfficialNo CVEs97A

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

2 toolsremote5.2k46.6k/wk1d ago

Python Sdk

OfficialNo CVEs95A

The official Python SDK for Model Context Protocol servers and clients

1 toolsremote22.7k166.4k/wk1d ago

Gemini Cli

No CVEs95A

An open-source AI agent that brings the power of Gemini directly into your terminal.

8 toolsremote101.5k891.1k/wk19h ago

MCP Security Weekly

Get CVE alerts and security updates for io.github.decibri/mcp-listen and similar servers.

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

mcp-listen

Give your AI agents the ability to listen

Microphone capture and speech-to-text tools for MCP-compatible agents.

Meta
Powered by

Tools

Tool	Description
`list_audio_devices`	List available microphone input devices
`capture_audio`	Record audio from the microphone and save as WAV
`voice_query`	Capture, transcribe (whisper.cpp), and query a local LLM (Ollama)

Quick Start

Claude Code

claude mcp add mcp-listen npx mcp-listen

Claude Desktop / ChatGPT Desktop / Cursor / Windsurf / VS Code

Add to your MCP configuration:

{
  "mcpServers": {
    "mcp-listen": {
      "command": "npx",
      "args": ["-y", "mcp-listen"]
    }
  }
}

Compatible with Claude Desktop, ChatGPT Desktop, Cursor, GitHub Copilot, Windsurf, VS Code, Gemini, Zed, and any MCP-compatible client.

Global Install

npm install -g mcp-listen

Requirements

For list_audio_devices and capture_audio:

Node.js 18+
A microphone

For voice_query (optional):

Ollama running locally
Whisper GGML model (see Whisper Model Setup)

Tool Reference

list_audio_devices

Returns a JSON array of available audio input devices.

Parameters: None

Example response:

[
  { "index": 3, "name": "Microphone (Creative Live! Cam)", "isDefault": true, "maxInputChannels": 2, "defaultSampleRate": 48000 },
  { "index": 4, "name": "Microphone Array (Intel)", "isDefault": false, "maxInputChannels": 2, "defaultSampleRate": 48000 }
]

capture_audio

Records audio from the microphone and saves as a WAV file.

Parameters:

Parameter	Type	Default	Description
`duration_ms`	number	5000	Recording duration in milliseconds (100-30000)
`device`	number	system default	Device index from `list_audio_devices`

Example response:

{
  "path": "/tmp/mcp-listen-1712345678901.wav",
  "duration_ms": 5000,
  "sample_rate": 16000,
  "channels": 1,
  "size_bytes": 160044
}

voice_query

Full voice pipeline: capture audio, transcribe with whisper.cpp, send to Ollama, return the response. Entirely offline.

Parameters:

Parameter	Type	Default	Description
`duration_ms`	number	5000	Recording duration in milliseconds (100-30000)
`device`	number	system default	Device index from `list_audio_devices`
`whisper_model`	string	ggml-base.en.bin	Path or filename of Whisper GGML model
`language`	string	en	Language code for transcription
`model`	string	llama3.2	Ollama model name
`prompt`	string	You are a helpful assistant.	System prompt for the LLM

Example response:

{
  "transcription": "What is the default port for PostgreSQL?",
  "response": "PostgreSQL runs on port 5432 by default.",
  "model": "llama3.2"
}

How It Works

mcp-listen uses decibri for cross-platform microphone capture. No ffmpeg

... View full README on GitHub