How to Use the NVIDIA AI MCP in Google ADK

Q: How do I limit tool access for NVIDIA AI in Google ADK?

You use the toolnames filter during agent initialization. This restricts the agent to only use the tools you explicitly authorize.

Q: Can I use NVIDIA AI to analyze sentiment in Google ADK?

You can. The analyzesentiment tool takes your text and returns the classification. It is a one-step call for your agent to gauge user intent.

Bring NVIDIA AI into your Google ADK agents. Query data and summarize text with enterprise-grade reasoning for your cloud workflows.

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Connect NVIDIA AI MCP to Google ADK

Create your Vinkius account to connect NVIDIA AI to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NVIDIA AI with Google ADK

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Run NVIDIA AI tasks in Google ADK

Your agent uses `list_models` to check availability and `chat_completion` to execute logic. It integrates into your existing Google Cloud setup without friction. This setup keeps your agent logic clean. You call the tool, get the response, and move to the next task in your pipeline.

Summarize text at scale

The `summarize_text` tool processes large blocks of text into concise outputs. It is built for agents that need to condense reports or long-form input. Your agent sends the text, and the server returns the summary. It saves you from writing complex parsing logic.

Translate data on the fly

Use `translate_text` to handle multi-lingual requirements across your enterprise agents. It supports your global operations by standardizing input. Your agent manages the translation trigger. It is a direct call that returns the translated string for further processing.

Setup guide

Set up NVIDIA AI MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with NVIDIA AI tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="NVIDIA AI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NVIDIA AI tools via MCP.",
    tools=mcp_tools,
)

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NVIDIA AI MCP in Google ADK

The server supports both HTTP and Stdio. You configure the transport in your agent setup, and it handles the communication with the NVIDIA API.

You use the tool_names filter during agent initialization. This restricts the agent to only use the tools you explicitly authorize.

You can. The `analyze_sentiment` tool takes your text and returns the classification. It is a one-step call for your agent to gauge user intent.

You just point the server URL to your Vinkius endpoint. The SDK handles the rest of the connection logic automatically.

The server operates in a zero-trust sandbox. Your processed text is purged from the environment immediately after the tool execution finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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