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How to Use the AgroLog MCP in Google ADK

Connect the AgroLog MCP Server to Google ADK to feed live grain silo telemetry into Gemini and trigger automated ventilation.

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Google ADK

Connect AgroLog MCP to Google ADK

Create your Vinkius account to connect AgroLog 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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BigQuery Grain Analytics

Warehousing farm operations data in Google Cloud lets you analyze live silo conditions. Your Gemini agents pull telemetry using `get_device_telemetry` and cross-reference those trends against historical yields. The agent maps your sensor network with `get_devices` to find specific temperature and moisture probes. It feeds those timestamped arrays straight into Vertex AI pipelines for predictive spoilage modeling.

Long-Context Environmental Monitoring

Gemini handles massive context windows to spot slow-moving biological threats in the grain. You can dump weeks of local meteorological data from `get_weather` alongside internal headspace gas readings from `get_co2`. The agent reads this combined dataset to find anomalies. If it detects a problem, it checks `get_alarms` to see if the hardware already flagged the issue.

Safe Hardware Control via MCP Server

Flipping hardware switches requires precision and safety checks. The agent checks `get_moisture` to verify the wetness percentage before acting. You restrict the Gemini toolset using the tool_names filter so it only executes `set_relay_state` on specific, approved aeration relays.

Setup guide

Set up AgroLog 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 AgroLog 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="AgroLog_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AgroLog tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AgroLog. 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 AgroLog MCP in Google ADK

Install the framework via pip install google-adk. Create an instance using McpToolset and pass it to your LlmAgent.
Yes. You pass a tool_names array to the toolset configuration. This prevents the agent from seeing or executing tools you want restricted.
It calls `get_crop_level` on specific bin sensors. This returns the physical distance or percentage of grain volume currently stored in that container.
Yes. If you run a multi-tenant setup, the agent uses `get_customer_devices` to list sensors scoped to a specific farm or customer account.
The connection requires a single endpoint token and operates strictly within an ephemeral zero-trust sandbox. Your live crop levels, weather station feeds, and hardware relay states never persist on Vinkius infrastructure.

Start using the AgroLog MCP today

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