An MCP (Model Context Protocol) server that provides audio input/output capabilities for AI assistants like Claude. This server enables Claude to
If you want an AI assistant working directly with Audio, the audio mcp server is the bridge. An MCP (Model Context Protocol) server that provides audio input/output capabilities for AI assistants like Claude. This server enables Claude to interact with your computer's audio system, including recording from microphones and playing audio through speakers.
An MCP (Model Context Protocol) server that provides audio input/output capabilities for AI assistants like Claude. This server enables Claude to interact with your computer's audio system, including recording from microphones and playing audio through speakers.
Once connected, the assistant can call these 5 tools directly:
list_audio_devices — Lists all available audio input and output devices on your systemrecord_audio — Parameters: - duration: Recording duration in seconds (default: 5) - sample_rate: Sample rate in Hz (default: 44100) - channels: Number of audio channelsplay_latest_recording — The play_latest_recording tool exposed by this serverplay_audio — Parameters: - text: The text to convert to speech - voice: The voice to use (default: "default")play_audio_file — Parameters: - file_path: Path to the audio file - device_index: Specific output device index to use (default: system default)The server is distributed via npm as @smithery/cli, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
The server reads one environment variable: PYTHONPATH. Keep credentials in your client's env block or a secrets manager rather than committing them.
AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. Audio sits in that group, and the shape of its toolset — list_audio_devices, record_audio, play_latest_recording among others — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| list_audio_devices | Lists all available audio input and output devices on your system. |
| record_audio | Parameters: - duration: Recording duration in seconds (default: 5) - sample_rate: Sample rate in Hz (default: 44100) - channels: Number of audio channels (default: 1) - device_index: Specific input device index to use (d |
| play_latest_recording | The play_latest_recording tool exposed by this server. |
| play_audio | Parameters: - text: The text to convert to speech - voice: The voice to use (default: "default") |
| play_audio_file | Parameters: - file_path: Path to the audio file - device_index: Specific output device index to use (default: system default) |
{
"mcpServers": {
"audio": {
"command": "npx",
"args": ["-y", "@smithery/cli"],
"env": {
"PYTHONPATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PYTHONPATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.