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How to Use the MAPA (Agricultura) MCP in Google ADK

Pipe Brazilian agricultural data straight into your Google ADK agents and analyze massive datasets with Gemini's long context.

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Connect MAPA (Agricultura) MCP to Google ADK

Create your Vinkius account to connect MAPA (Agricultura) 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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MAPA (Agricultura) MCP Server for Gemini

This MCP Server exposes the Brazilian Ministry of Agriculture's open data to your Google Cloud agents. Your LlmAgent can run `search_packages` to find historical crop yields, then immediately write the results into a BigQuery table for downstream analysis. The integration bridges foreign government data with your internal enterprise stack. Instead of building custom ETL pipelines for the MAPA portal, you let Gemini pull the exact rural resources it needs using `get_resource`.

Analyze thousands of packages

Gemini handles 1M+ tokens effortlessly. You can instruct your agent to call `list_packages` and dump the entire catalog of Brazilian agricultural datasets into the context window. From there, the model filters the noise and identifies relevant records. It then executes targeted `get_package` calls to retrieve metadata for specific pesticide or land use datasets without losing its train of thought.

Restrict exposed government tools

You don't have to give your agent access to all 8 endpoints. The Google ADK lets you pass a `tool_names` filter to the `McpToolset` constructor to limit scope. If your pipeline only needs to map publishers, restrict the agent to `list_organizations` and `get_organization`. This prevents the model from wasting tokens on unnecessary `list_tags` or resource queries.

Setup guide

Set up MAPA (Agricultura) 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 MAPA (Agricultura) 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="MAPA (Agricultura)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MAPA (Agricultura) 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 MAPA (Agricultura). 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 MAPA (Agricultura) MCP in Google ADK

Install `google-adk` and create an `McpToolset` using `StreamableHttpServerParameters`. Pass that MCP Server toolset to your `LlmAgent` configuration.
Yes. Use the `tool_names` parameter when setting up the toolset. This lets you expose `search_packages` while hiding administrative endpoints like `list_groups`.
Any Gemini model connected through your agent can invoke these endpoints. The model handles the reasoning, while the framework routes the `get_resource` calls to the server.
Gemini's massive context window absorbs large JSON responses easily. Just ask the agent to summarize the payload returned by `get_package` before writing it to BigQuery.
The Ministry of Agriculture records are public open data. When your Google Cloud infrastructure connects to Vinkius, it uses a V8 Isolate Sandbox. Your endpoint token is handled at the network edge, ensuring Google ADK never leaks your credentials to the Brazilian government API.

Start using the MAPA (Agricultura) MCP today

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