MCP-Audio Plugin

mcp-audio is an AIO-2030 compliant MCP plugin that performs voice-to-text transcription using the Audio speech recognition API.

It exposes the identify_voice method via both multipart/form-data and base64 formats, supports the AIO tools.call protocol, and returns JSON-RPC structured outputs.

Features

Fully AIO-compliant MCP plugin (/tools.call, /help)
Converts .wav/.mp3 audio files to transcripts using SiliconFlow
API key managed securely via .env file
Docker-compatible and minimal dependencies
Registration-ready for AIO endpoint registry

Related MCP server: Kokoro TTS MCP Server

Setup (Local)

1. Clone and Install

git clone git@github.com:AIO-2030/mcp-audio.git cd mcp-audio python -m venv venv && source venv/bin/activate pip install -r requirements.txt

2. Add .env file

cp .env.example .env

Set your audio URL and API key:

AUDIO_URL=https--xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

3. Run the MCP server

python src/mcp_server.py

4. Docker

4.1 Build and Run

docker build -t mcp-audio . docker run --env-file .env -p 8080:8080 mcp-audio

API Overview

POST /api/v1/mcp/voice_model

Upload audio file directly. Response:

{ "transcript": "hello world", "confidence": 0.91, "audio_hash": "a1b2c3..." }

POST /api/v1/mcp/tools.call (AIO Protocol)

JSON-RPC format with base64-encoded audio. Response:

{ "method": "tools.call", "params": { "method": "identify_voice", "inputs": [ { "type": "audio", "value": "<base64-audio>" } ] } }

GET /api/v1/mcp/help

Auto-serves contents of mcp_audio_registration.json. Used by Queen AI for MCP discovery and service indexing.

Testing Tools

Base64 Voice Test

python test/test_audio_base64.py

Health Check

python health_check.py

MCP Registration (to AIO Endpoint Canister)

./register_mcp.sh

Requires jq, dfx, and a running endpoint_registry canister.

This server cannot be installed

-

security - not tested

A

license - permissive license

-

quality - not tested

How are these scores calculated?

Resources

GitHub Repository

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Related Servers

MCP-Audio Plugin

MCP-Audio Plugin

Features

Setup (Local)

1. Clone and Install

2. Add .env file

3. Run the MCP server

4. Docker

4.1 Build and Run

API Overview

POST /api/v1/mcp/voice_model

POST /api/v1/mcp/tools.call (AIO Protocol)

GET /api/v1/mcp/help

Testing Tools

Base64 Voice Test

Health Check

MCP Registration (to AIO Endpoint Canister)

Resources

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