How to Use the MaintainX MCP in Google ADK

Q: How do I integrate MaintainX with Google ADK?

Install the package and use McpToolset with your server URL. Pass this set into your LlmAgent to start executing maintenance tasks.

Q: Can I filter MaintainX tools in Google ADK?

You can. Use the toolnames filter to limit what your agent accesses. This ensures your agent only touches the tools you explicitly permit.

Connect your Google ADK agent to MaintainX to trigger maintenance actions from your cloud data.

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Connect MaintainX MCP to Google ADK

Create your Vinkius account to connect MaintainX 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 MaintainX with Google ADK

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Perplexity

Google ADK maintenance integration

Deploy `list_maintenance_orders` alongside your BigQuery data analysis. Your agent correlates equipment failures in your cloud environment with pending repairs in the field. This MCP Server acts as the bridge between your infrastructure and your shop floor. It keeps your agent grounded in actual facility status.

High-context asset management

Utilize the 1M+ token window to process massive asset histories. Your agent parses `get_work_order_details` to identify patterns that lead to equipment downtime. Stop digging through logs. Let the agent aggregate the history and tell you exactly which asset requires immediate attention.

Direct status updates via MCP Server

Update project boards using `update_work_order_status`. The agent pushes changes to the platform as soon as it confirms a task is complete. Your team stays updated without manual entry. The agent handles the status shifts based on the logic you define in your ADK workflow.

Setup guide

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

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Common questions about MaintainX MCP in Google ADK

Install the package and use `McpToolset` with your server URL. Pass this set into your `LlmAgent` to start executing maintenance tasks.

You can. Use the tool_names filter to limit what your agent accesses. This ensures your agent only touches the tools you explicitly permit.

Your MaintainX data is accessed through a secure, ephemeral tunnel. Vinkius ensures your endpoint token is the only key required for the connection.

It will. You can feed the output of your BigQuery analysis directly into a MaintainX tool call. This allows your agent to create work orders based on data trends.

It does. You can choose between Stdio or HTTP transports depending on your deployment environment. Both are fully supported.

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