How to Use the Brasil.io MCP in Google ADK

Q: Is Brasil.io compatible with the Google ADK toolset?

Absolutely. You add the server to your McpToolset, and the tools appear as native functions for your agent to call.

Connect Google ADK agents to massive Brazilian public datasets with zero overhead.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Brasil.io MCP to Google ADK

Create your Vinkius account to connect Brasil.io 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 Brasil.io with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Fetch table schemas for Google ADK

Use `get_table_metadata` to grab the precise structure of any table. Your agent needs this context to generate accurate queries against the public data. This prevents the agent from hallucinating columns that don't exist. It keeps your logic tightly coupled to the actual database state.

Discover data in Google ADK

Execute `list_datasets` to see the full list of available tables. The server returns paginated results, which helps your agent stay within token limits when exploring large collections. This is the fastest way to map out available socio-economic data. Your agent gains immediate knowledge of the available tables.

Query records using Google ADK

Trigger `query_table_data` with specific JSON filters to extract rows. You can narrow down results by geography or category without pulling unnecessary records. This keeps your agent's context window clean. It only processes the data that matters for your current task.

Setup guide

Set up Brasil.io 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 Brasil.io 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="Brasil.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Brasil.io 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 Brasil.io. 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 Brasil.io 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 Brasil.io MCP in Google ADK

Absolutely. You add the server to your `McpToolset`, and the tools appear as native functions for your agent to call.

The server handles all pagination logic internally. When your agent calls `list_datasets`, the MCP Server manages the offset and returns the requested chunk of data.

You can pull data from the server and join it with your own BigQuery tables manually. Your agent acts as the bridge between these two data sources.

It uses an HTTP transport that stays open for the duration of your agent's task. The connection is ephemeral and closes after the agent finishes its work.

All communication occurs over encrypted channels. The server only accesses public Brazilian records, ensuring your private enterprise data remains isolated.

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