How to Use the Wiagro MCP in Google ADK

Q: Can I use Wiagro with Google ADK for overall facility status?

Yes. The getfacilityoverview tool gives you the overall grain quality assessment across all monitored units. Your agent can then surface this summary immediately to management.

Q: What historical data does Wiagro provide to Google ADK?

Wiagro offers time-series data for temperature (gettemperaturehistory), humidity, and CO2. This allows your agent to perform deep trend analysis on spoilage indicators.

Q: How do I check structural integrity with Wiagro and Google ADK?

Use getrupturealerts within the MCP Server. Your Google ADK can process these alerts, filtering by specific silobag IDs to pinpoint damage quickly.

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Connect Wiagro MCP to Google ADK

Create your Vinkius account to connect Wiagro 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 Wiagro with Google ADK

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Get current sensor readings from sensors.

The `get_current_readings` tool returns immediate temperature (Celsius), humidity (%), and CO2 levels (ppm). This is your real-time snapshot of storage conditions. Your Google ADK agent can ingest this data directly, making sure the critical status updates land where they need to go.

Analyze moisture migration patterns.

Use `get_humidity_history` when you need historical intergranular humidity readings. This tracks how moisture moves through the grain mass. The Google ADK supports long-context reasoning, letting your agent analyze these trends against massive datasets in BigQuery.

List all monitored storage units.

`get_silobags` lists every silobag ID, name, location, and current monitoring status on site. This is the starting point for any facility-wide query. The Google ADK makes it simple to pass this complete list of assets into a complex workflow.

Setup guide

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

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Common questions about Wiagro MCP in Google ADK

The MCP Server provides dedicated tools that your Google ADK agent calls. You can build multi-step workflows where the agent first lists units, then checks readings, and finally generates a report.

Yes. The `get_facility_overview` tool gives you the overall grain quality assessment across all monitored units. Your agent can then surface this summary immediately to management.

Wiagro offers time-series data for temperature (`get_temperature_history`), humidity, and CO2. This allows your agent to perform deep trend analysis on spoilage indicators.

Use `get_rupture_alerts` within the MCP Server. Your Google ADK can process these alerts, filtering by specific silobag IDs to pinpoint damage quickly.

The server handles temperature, humidity, CO2 levels, and quality scores. This full range of physical metrics allows your agent to model the entire storage environment.

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