How to Use the Honeywell Process MCP in Google ADK

Q: Can Google ADK filter Honeywell Process tools?

Yes. You can apply the toolnames filter to restrict access. If you only want the agent reading metrics, expose getprocessmetrics and block the ticketing endpoints.

Q: How does Google ADK handle Honeywell Process scan events?

The agent calls getscanevents to pull timestamps, decoded data, and success rates. It can cross-reference these hardware scans with your existing BigQuery datasets to audit facility throughput.

Connect the Honeywell Process MCP Server to Google ADK. Feed industrial asset telemetry directly into Gemini's massive context window.

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Connect Honeywell Process MCP to Google ADK

Create your Vinkius account to connect Honeywell Process 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 Honeywell Process with Google ADK

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Feed shift data into Google ADK

`get_shift_reports` pulls operator notes, downtime events, and output quantities directly from the floor. You can dump weeks of this data into Gemini because of the massive token window. It reads the raw text alongside `get_production_data` to match planned targets against actual output. This MCP Server bridges the gap between your physical plant and Google Cloud. Your agent spots long-term trends in production lines that human operators miss during shift handovers.

Analyze asset health and logs

`get_asset_health` retrieves predicted remaining useful life, fault codes, and sensor readings for specific hardware. When a machine throws a fault, the agent instantly runs `get_maintenance_logs` to check the root cause analysis and parts replaced during previous repairs. You get a complete history of the asset in seconds. The agent compares the current fault against historical labor hours and resolution notes to tell your maintenance crew exactly what to pack before they walk onto the floor.

Monitor alerts and trigger tickets

`get_operational_alerts` grabs process deviations, connectivity drops, and equipment anomalies as they happen. If an alert severity crosses your defined threshold, the agent uses `create_maintenance_ticket` to generate a work order and route it to the right team. You dictate the logic in Vertex AI. The agent evaluates the anomaly, checks the priority level, and files the paperwork without waking up a human operator at 3 AM.

Setup guide

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

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Common questions about Honeywell Process MCP in Google ADK

Install google-adk and initialize a McpToolset using StreamableHttpServerParameters. Pass the toolset to your LlmAgent to expose the industrial tools to Gemini.

Yes. You can apply the tool_names filter to restrict access. If you only want the agent reading metrics, expose `get_process_metrics` and block the ticketing endpoints.

The agent calls `get_scan_events` to pull timestamps, decoded data, and success rates. It can cross-reference these hardware scans with your existing BigQuery datasets to audit facility throughput.

It pulls firmware versions, network configurations, and installation dates using `get_asset_details`. You get exact specifications for any registered scanner or controller on the network.

The MCP architecture requires only a single endpoint token for authentication. Your hardware specifications and network configurations from `get_asset_details` are processed in an isolated sandbox. Vinkius drops the instance immediately after the request completes.

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