How to Use the Nyckel ML MCP in Google ADK

Q: Does Nyckel ML integrate with BigQuery data in Google ADK?

You can pipe data from BigQuery into the createmlsample tool. This creates a bridge between your warehouse and your ML models.

Q: How do I monitor Nyckel ML usage within Google ADK?

Check your account info using getaccountinfo. This provides a high-level view of your current function status and usage.

Connect Nyckel ML to your Google ADK agents to build high-performance classification and search into your enterprise infrastructure.

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Connect Nyckel ML MCP to Google ADK

Create your Vinkius account to connect Nyckel ML 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 Nyckel ML with Google ADK

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Real-time classification in Google ADK

Call `invoke_ml_function` to get instant categorization for your BigQuery datasets. The tool connects your agent to your existing ML functions seamlessly. Google ADK processes these responses alongside your other cloud services. It keeps your decision-making logic centralized.

Organize data labels using Google ADK

Use `list_ml_labels` to see your current categories before triggering an action. This ensures your agent always uses the correct tags for your data. Updating your schema is simple with `list_ml_functions`. Your agent stays informed about all available endpoints in your account.

Vector search capabilities for Google ADK

Retrieve context from your text stores using `semantic_search`. It enables your agent to perform deep lookups across your infrastructure. This functionality allows for fast information retrieval. Your agent can then synthesize these findings into a report or a specific action.

Setup guide

Set up Nyckel ML 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 Nyckel ML 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="Nyckel ML_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nyckel ML tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Nyckel ML MCP in Google ADK

You register the server URL in your toolset configuration. Once added, your agent automatically detects the available endpoints.

You can pipe data from BigQuery into the `create_ml_sample` tool. This creates a bridge between your warehouse and your ML models.

Yes, the agent uses the tool output as context for its reasoning process. It combines your data with the model's classification results.

Check your account info using `get_account_info`. This provides a high-level view of your current function status and usage.

Your data is handled within isolated sessions. Each request is scoped to your specific credentials and protected by standard transport security.

Use it with your favorite AI tools

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

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