How to Use the Limble CMMS MCP in Google ADK

Connect Limble CMMS to Google ADK to run large-scale maintenance agents on your cloud infrastructure.

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Connect Limble CMMS MCP to Google ADK

Create your Vinkius account to connect Limble CMMS 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 Limble CMMS with Google ADK

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Real-time asset monitoring via Google ADK

Your agents now have direct access to your facility's physical state. By using `list_assets` and `get_asset_details`, the system maintains a perfect digital twin of your equipment performance. It feeds live telemetry into your analysis pipeline. Any change in equipment health is captured immediately when the agent executes an `update_asset_field` call.

Optimized labor allocation for Google ADK

Stop guessing technician assignments. Your agent reviews `list_labor_entries` to calculate average repair times and uses that data to prioritize incoming work orders from `list_tasks`. The logic stays within your Google Cloud ecosystem. It ensures that your most urgent maintenance needs are paired with the right team members based on their historical performance.

Inventory and vendor sync for Google ADK

Connect your parts warehouse to your agent's decision-making process. The server uses `list_parts` and `list_vendors` to ensure your maintenance teams have exactly what they need for every job. It eliminates the gap between identifying a fault and ordering a replacement. The agent validates part availability through `list_asset_part_relations` before authorizing any vendor request.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Limble CMMS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Limble CMMS MCP in Google ADK

Yes, you can register all nine tools within the McpToolset. You can also use a filter if you want to restrict the agent to a specific subset of operations like asset reading or task listing.

You initialize the McpToolset with the server URL and pass it into your agent's tool list. This allows the agent to call functions like `list_locations` or `list_vendors` as if they were native methods.

It is built for that purpose. The server works well with high-token models that need to process complex maintenance logs and large amounts of facility data stored in your cloud environment.

Access is managed through your provided API credentials. All requests are ephemeral and scoped strictly to the tools provided, ensuring your maintenance records are never exposed beyond the agent's active session.

The server follows standard error handling protocols. Your agent will receive a clear response if a tool like `update_asset_field` fails, allowing you to catch the error in your cloud logging system.

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