How to Use the Geopard Agriculture MCP in Google ADK

Q: How do I initialize Geopard Agriculture in Google ADK?

Run pip install google-adk. Create an McpToolset using StreamableHttpServerParameters with your Vinkius URL, then pass it to your LlmAgent under the tools array.

Q: Can Google ADK restrict which Geopard Agriculture MCP Server tools the agent sees?

Yes. You can pass a toolnames list to the McpToolset. This is useful if you want an agent to only have access to getcrophealthdata and nothing else.

Q: Does Geopard Agriculture support HTTP transport in Google ADK?

It does. The server runs remotely, so you configure the StreamableHttpServerParameters to connect over HTTP rather than standard local I/O.

Build Gemini-powered agronomy agents with Google ADK and Geopard Agriculture.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Geopard Agriculture MCP to Google ADK

Create your Vinkius account to connect Geopard Agriculture 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.

GDPR Free for Subscribers

Setup Geopard Agriculture with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

BigQuery meets field analytics

Enterprise teams already have massive datasets sitting in Google Cloud. This MCP Server connects that infrastructure directly to live agronomy data. You bridge the gap between your data warehouse and field intelligence. Your Gemini agent can pull `get_field_analytics` and cross-reference those performance reports with your internal BigQuery tables. The integration is native to the framework.

Long-context crop health analysis

Gemini's massive context window changes how you handle farm data. You don't have to chunk or summarize historical records anymore. You just pass the raw data. Feed thousands of data points from `get_crop_health_data` straight into the prompt. The agent digests entire seasons of NDVI metrics in a single pass.

Filter Google ADK MCP Server tools

Sometimes you only want your agent doing one specific job. The Google ADK lets you restrict exactly what the LLM can touch. You maintain strict control over the execution path. Use the `tool_names` filter to expose only `get_agri_fields`. Your agent maps the boundaries but can't accidentally trigger heavy analytics queries.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Geopard. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Geopard Agriculture now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Geopard Agriculture MCP in Google ADK

Run `pip install google-adk`. Create an `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL, then pass it to your `LlmAgent` under the tools array.

Yes. You can pass a `tool_names` list to the `McpToolset`. This is useful if you want an agent to only have access to `get_crop_health_data` and nothing else.

It does. The server runs remotely, so you configure the `StreamableHttpServerParameters` to connect over HTTP rather than standard local I/O.

Gemini can hold over a million tokens. You can dump raw output from `get_field_analytics` spanning multiple years directly into the model without hitting limits.

Vinkius routes the connection through an ephemeral, zero-trust architecture. When your agent requests historical biomass indices or field boundaries, the transaction is isolated. No data persists after the session closes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript