How to Use the Atera MCP in Google ADK

Q: Does Google ADK support Atera tool filtering?

It does. You can pass a toolnames filter to the toolset to restrict which Atera functions your agent can access, keeping your implementation scoped and secure.

Q: Can Google ADK agents pull Atera alerts automatically?

Your agent can poll listalerts as part of its execution cycle. If a new alert appears, it can trigger a ticket creation flow without human intervention.

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Connect Atera MCP to Google ADK

Create your Vinkius account to connect Atera 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 Atera with Google ADK

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Google ADK agents accessing Atera ticket data

Your agent queries your support backlog using `list_tickets` to prioritize high-impact issues. It then uses `get_ticket` to pull the full history for a specific issue before replying to the user. Because you are using Google ADK, these operations exist alongside your BigQuery data. You can join ticket trends with your other cloud metrics in one reasoning loop.

Managing infrastructure with Google ADK and Atera

Use `list_agents` to identify devices that need attention. Your agent triggers `get_agent` to verify uptime stats before deciding whether to open a maintenance ticket. This setup works perfectly with long-context Gemini models. You feed the entire list of alerts into the context window, and the agent finds the patterns that matter.

Customer context inside Google ADK

Your agent identifies which customer submitted a request by calling `list_customers`. It then pulls the relevant account details using `get_customer` to provide personalized support. Every action is logged in your Google Cloud infrastructure. You maintain full transparency over how your agent interacts with the Atera platform.

Setup guide

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

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Common questions about Atera MCP in Google ADK

Install the framework and initialize an McpToolset with your server URL. Pass this toolset into your LlmAgent configuration to expose the Atera tools to your model.

It does. You can pass a tool_names filter to the toolset to restrict which Atera functions your agent can access, keeping your implementation scoped and secure.

Your agent can poll `list_alerts` as part of its execution cycle. If a new alert appears, it can trigger a ticket creation flow without human intervention.

Use the Vinkius-provided endpoint token. You don't need to manage local API keys, as the server handles the handshake behind a single secure URL.

Your customer information is processed within the ephemeral Vinkius sandbox. It never touches persistent storage outside of your authenticated session.

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