How to Use the Farmonaut MCP in Google ADK

Q: How does Google ADK interact with Farmonaut tools?

You use the McpToolset to map the server to your LlmAgent. This exposes the Farmonaut functions to the Gemini model, allowing it to reason over satellite data using its native tool-calling capabilities.

Q: Can I filter which Farmonaut tools Google ADK exposes?

Yes. You can use a toolnames filter in your McpToolset configuration. This restricts the agent to only the data points your enterprise workflow requires.

Connect Farmonaut satellite data to Google ADK to power your enterprise agents with real-time field intelligence.

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Connect Farmonaut MCP to Google ADK

Create your Vinkius account to connect Farmonaut 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 Farmonaut with Google ADK

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Enterprise field analytics with Google ADK

Your agents can now query `get_sar_analysis` to monitor fields through dense cloud cover. This tool provides backscatter values that the agent interprets to gauge crop structure when optical sensors fail. Since this integrates with your existing Google Cloud infrastructure, you can pipe these findings directly into BigQuery. Your long-context Gemini models then analyze seasonal trends against your historical records.

Weather-aware decisioning using Google ADK

Feed `get_weather` and `get_weather_forecast` into your agents to build responsive operational plans. The agent calculates growing degree days and frost risk, allowing it to suggest planting or harvest windows based on hyper-local data. This removes the guesswork from your seasonal planning. Your agents now have the foresight to adjust schedules before weather events impact your bottom line.

Environmental compliance via Google ADK

Use `get_deforestation_alerts` to keep your supply chain data current. Your agents scan for land-use changes and flag potential issues, ensuring your operations stay within compliance bounds. It acts as an automated audit layer. By checking these alerts regularly, your enterprise agent provides a continuous record of environmental stewardship for your investors.

Setup guide

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

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Common questions about Farmonaut MCP in Google ADK

You use the `McpToolset` to map the server to your `LlmAgent`. This exposes the Farmonaut functions to the Gemini model, allowing it to reason over satellite data using its native tool-calling capabilities.

Yes. You can use a tool_names filter in your `McpToolset` configuration. This restricts the agent to only the data points your enterprise workflow requires.

The framework is built to handle high-volume interactions. You can query your entire field inventory via `get_fields` and process the results using the massive context windows available in Gemini.

Your communication happens over authenticated streams. Because you control the endpoint token, only your authorized agents can trigger queries for your specific agricultural assets.

Your proprietary field geometries and crop data are treated as sensitive inputs. The system ensures that only the necessary coordinates are shared with the satellite provider, keeping your farm's exact location private from public visibility.

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