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How to Use the BCB Full — Inteligência Financeira Completa do Brasil MCP in Google ADK

Connect BCB Full — Inteligência Financeira Completa do Brasil to Google ADK to power your enterprise agents with Brazilian market data.

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Connect BCB Full — Inteligência Financeira Completa do Brasil MCP to Google ADK

Create your Vinkius account to connect BCB Full — Inteligência Financeira Completa do Brasil 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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Integrate BCB Full — Inteligência Financeira Completa do Brasil with Google ADK

Connect your Google Cloud agents to the Central Bank using `McpToolset`. It maps the 21 available tools to your agent's decision-making capabilities. Your agent can now query `get_pib` or `get_reservas` alongside your existing BigQuery datasets. It bridges public economic data with your internal private records.

Real-time fiscal monitoring

Trigger your agents to check `get_selic_diaria` or `get_pix_estatisticas` as part of a larger workflow. It keeps your monitoring dashboards accurate. This MCP Server provides the raw numbers your Google ADK agent needs for long-context reasoning. It works seamlessly within your existing Cloud architecture.

Automated currency reporting

Your agent can generate daily reports on the Brazilian Real using `get_cotacao_dolar`. It pulls the official PTAX rate for your accounting logic. This toolset allows your agent to handle complex currency conversions across multiple international markets. It ensures your data remains consistent with official Central Bank figures.

Setup guide

Set up BCB Full — Inteligência Financeira Completa do Brasil 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 BCB Full — Inteligência Financeira Completa do Brasil 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 Full — Inteligência Financeira Completa do Brasil_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BCB Full — Inteligência Financeira Completa do Brasil 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 Banco Central do Brasil. 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 BCB Full — Inteligência Financeira Completa do Brasil MCP in Google ADK

You initialize the McpToolset with the server URL and pass it to your LlmAgent. The agent then registers the BCB tools as native functions for its execution cycle.
Yes, you can use the tool_names filter to restrict which functions your agent sees. This helps you keep your agent scope tight and efficient.
It is built for production use cases where data accuracy is non-negotiable. You get the official BCB figures directly in your Google Cloud environment.
It supports both Stdio and HTTP transports. You choose the one that fits your deployment strategy on Google Cloud infrastructure.
This server uses a secure, ephemeral sandbox for every request. It only retrieves public macroeconomic figures, keeping your internal agent secrets isolated from the data fetching process.

Start using the BCB Full — Inteligência Financeira Completa do Brasil MCP today

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