How to Use the BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in Google ADK

Q: How do I connect the BCB Economia — PIB, Dívida, Reservas, PIX e SGS server to a Google ADK agent?

You'll instantiate an McpToolset with your Vinkius server URL and pass it to your LlmAgent's tool list. The ADK handles the rest, making the BCB tools available to your Gemini model.

Q: How does the BCB Economia — PIB, Dívida, Reservas, PIX e SGS server work with long-context Gemini models in Google ADK?

You can pull decades of historical data using getseriebcb and feed the entire result into the prompt. Gemini's long-context window lets the agent analyze the full history in a single pass to identify complex, long-term patterns.

Connect Google ADK agents to live Brazilian economic data from the Central Bank.

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Connect BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP to Google ADK

Create your Vinkius account to connect BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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 BCB Economia — PIB, Dívida, Reservas, PIX e SGS with Google ADK

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Feed Gemini Models Fresh Economic Data

The `get_pib` tool pulls Brazil's monthly economic activity index, while `get_divida_pib` gets the public debt ratio. These are fundamental inputs for any macro analysis model you're building. With Google ADK, your Gemini-powered agent can use its massive context window to analyze long-term trends. Feed it years of historical data from `get_serie_bcb` and watch it connect dots that smaller models would miss.

Integrate BCB Data Directly with BigQuery

Use the `get_pix_estatisticas` tool to get daily PIX transaction volumes, a great proxy for retail activity. The `get_desemprego` tool provides the quarterly unemployment rate. A Google ADK agent can fetch this data and write it directly to a BigQuery table. This closes the loop, letting you join live external data with your own internal datasets for richer analysis inside your Google Cloud environment.

Build Enterprise Agents with this MCP Server

This MCP Server exposes seven specific tools for querying the Brazilian Central Bank. You get everything from international reserves (`get_reservas`) to the trade balance (`get_balanca_comercial`). Google ADK is built for this kind of setup. You can create an `McpToolset` and selectively expose only the tools you need, like `get_pib` and `get_divida_pib`, to specific agents. It’s a controlled way to give your cloud infrastructure access to real-world economic signals.

Setup guide

Set up BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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 BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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="BCB Economia — PIB, Dívida, Reservas, PIX e SGS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BCB Economia — PIB, Dívida, Reservas, PIX e SGS tools via MCP.",
    tools=mcp_tools,
)

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Common questions about BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in Google ADK

You'll instantiate an `McpToolset` with your Vinkius server URL and pass it to your `LlmAgent`'s tool list. The ADK handles the rest, making the BCB tools available to your Gemini model.

It's the Central Bank's Economic Activity Index, a monthly proxy for GDP. Since Brazil's official GDP is released quarterly, this gives you a more frequent read on the economy's direction.

Yes, that's a primary use case. Your agent can call a tool like `get_serie_bcb`, get the data, and then use a separate BigQuery tool to write it for long-term analysis and dashboarding.

You can pull decades of historical data using `get_serie_bcb` and feed the entire result into the prompt. Gemini's long-context window lets the agent analyze the full history in a single pass to identify complex, long-term patterns.

The server only processes public Brazilian economic indicators; it never touches your private data. Communication is secured by your Vinkius endpoint token, and the entire MCP Server runs in a sandboxed V8 Isolate on Vinkius's infrastructure.

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