How to Use the Mato Grosso do Sul Open Data MCP in Google ADK

Q: How do I initialize the Mato Grosso do Sul Open Data MCP Server toolset in Google ADK?

Install the package using pip install google-adk and create an McpToolset with your HTTP server parameters. Pass this toolset into the tools parameter of your LlmAgent to let Gemini access the state's public records.

Q: Can I limit which Mato Grosso do Sul Open Data tools the Google ADK agent can access?

Yes, you can use the optional tool names filter in the McpToolset configuration to restrict access. For example, you can expose only datastoresearchsql and getresource while hiding metadata tools.

Connect Gemini to Mato Grosso do Sul Open Data using the Google ADK and this MCP Server to analyze public records.

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Connect Mato Grosso do Sul Open Data MCP to Google ADK

Create your Vinkius account to connect Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data with Google ADK

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Run SQL Queries on State Records with Google ADK

The `datastore_search_sql` tool allows your Gemini agent to execute SQL queries directly against the Mato Grosso do Sul CKAN datastore. This lets your agent filter, aggregate, and select public records before feeding them into BigQuery or Vertex AI pipelines. You expose this tool to your agent by passing `McpToolset` into the `tools` list of your `LlmAgent`. The long-context window of Gemini models handles the returned SQL rows easily, letting you analyze large public datasets without running out of token space.

Automated Organization and Group Mapping

The `list_organizations` and `list_groups` tools let your Gemini agent map out the administrative structure of the Mato Grosso do Sul government. Your agent can discover which department publishes specific datasets without manual intervention. Using the Google ADK, you can restrict the tools exposed to the model by applying an optional tool names filter. This ensures your agent only uses `get_package` or `list_packages` when it needs to discover new data catalogs, preventing unnecessary API calls.

Direct Resource and Package Extraction

The `get_resource` and `datastore_search` tools let your agent pull specific data rows from public resources. This direct extraction is critical when your agent needs to verify public spending or environmental metrics against your internal cloud databases. This MCP Server supports both Stdio and HTTP transports to connect this server to your infrastructure. Your agent can coordinate between `list_packages` to find new datasets and `get_resource` to download the target files for immediate processing.

Setup guide

Set up Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data 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="Mato Grosso do Sul Open Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mato Grosso do Sul Open Data tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Mato Grosso do Sul Open Data MCP in Google ADK

Install the package using `pip install google-adk` and create an `McpToolset` with your HTTP server parameters. Pass this toolset into the `tools` parameter of your `LlmAgent` to let Gemini access the state's public records.

Yes, you can use the optional tool names filter in the `McpToolset` configuration to restrict access. For example, you can expose only `datastore_search_sql` and `get_resource` while hiding metadata tools.

Gemini uses its long-context window to process extensive tables returned by `datastore_search`. The model can cross-reference public records from `list_packages` with your existing enterprise data in BigQuery.

Yes, the Google ADK integration allows you to connect to this server using either transport. Vinkius manages the HTTP hosting, giving you a secure, single-endpoint token to query the Brazilian state records.

All outgoing requests to the CKAN API are isolated within ephemeral, zero-trust runtime environments. Your proprietary prompts and BigQuery schemas are never exposed to the public Brazilian open data portal.

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