NVIDIA Audio MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add NVIDIA Audio as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="nvidia_audio_agent",
instruction=(
"You help users interact with NVIDIA Audio "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About NVIDIA Audio MCP Server
Connect NVIDIA Audio to any AI agent and unlock professional-grade audio processing — transcribe speech to text, generate natural voices, translate audio across languages, perform speaker diarization, and clone voices through natural conversation.
Google ADK natively supports NVIDIA Audio as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Speech-to-Text — Transcribe audio files with high accuracy using Parakeel models
- Text-to-Speech — Convert text to natural-sounding speech
- Audio Translation — Translate spoken audio directly to another language
- Speaker Diarization — Identify and separate different speakers in audio
- Voice Cloning — Clone a voice from a sample and generate new speech
- Noise Cancellation — Remove background noise from recordings
- Audio Classification — Classify audio as speech, music, noise, etc.
- Punctuation Restoration — Add punctuation to raw speech-to-text output
The NVIDIA Audio MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect NVIDIA Audio to Google ADK via MCP
Follow these steps to integrate the NVIDIA Audio MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from NVIDIA Audio via MCP
Why Use Google ADK with the NVIDIA Audio MCP Server
Google ADK provides unique advantages when paired with NVIDIA Audio through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with NVIDIA Audio
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine NVIDIA Audio tools with BigQuery, Vertex AI, and Cloud Functions
NVIDIA Audio + Google ADK Use Cases
Practical scenarios where Google ADK combined with the NVIDIA Audio MCP Server delivers measurable value.
Enterprise data agents: ADK agents query NVIDIA Audio and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine NVIDIA Audio tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query NVIDIA Audio regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including NVIDIA Audio
NVIDIA Audio MCP Tools for Google ADK (10)
These 10 tools become available when you connect NVIDIA Audio to Google ADK via MCP:
audio_translation
Provide target language. Translate spoken audio to another language
cancel_noise
Remove background noise from audio
classify_audio
) with confidence scores. Classify the type of sound in an audio file
clone_voice
Clone a voice from a reference audio and generate speech
list_audio_models
List available audio models on NVIDIA API Catalog
punctuate_text
Add punctuation and capitalization to raw text
speaker_diarization
Identify different speakers in an audio file
speech_to_text
Supports multiple languages. Provide a public audio URL (MP3, WAV, etc). Transcribe speech from audio to text (Whisper-style)
summarize_audio
Summarize an audio transcript
text_to_speech
Optional voice parameter for different voices. Convert text to natural-sounding speech
Example Prompts for NVIDIA Audio in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with NVIDIA Audio immediately.
"Transcribe this meeting recording: https://example.com/meeting.mp3"
"Convert this text to speech: 'Welcome to our presentation today.'"
"Identify different speakers in this call: https://example.com/call.wav"
Troubleshooting NVIDIA Audio MCP Server with Google ADK
Common issues when connecting NVIDIA Audio to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkNVIDIA Audio + Google ADK FAQ
Common questions about integrating NVIDIA Audio MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect NVIDIA Audio to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.