How to Use the BCB Juros — Selic, CDI e Expectativas Focus MCP in Google ADK

Q: How does this MCP Server handle high-frequency daily Selic updates?

The tool getselicdiaria queries the Central Bank of Brazil's SGS API directly. It fetches the daily effective rate as soon as the central bank publishes it, keeping your Google Cloud workflows accurate.

Inject live Central Bank of Brazil interest rates into your Google ADK pipelines for deep macroeconomic analysis.

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Connect BCB Juros — Selic, CDI e Expectativas Focus MCP to Google ADK

Create your Vinkius account to connect BCB Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus with Google ADK

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Query Brazilian rate trends with Google ADK

Your Google ADK agent calls `get_selic_meta` to query the current COPOM target rate and blends it with your existing BigQuery financial tables. This specialized MCP Server gives you direct access to official Brazilian central bank data without writing custom API connectors. Gemini models use their massive context window to cross-reference this target rate against historical company portfolios. You get a clear picture of how target rate shifts impact your local holdings without manual data entry.

Analyze market sentiment using Focus expectations

Use `get_expectativas_selic` to pull the latest institutional forecasts directly into Vertex AI. Your agent parses the median, minimum, and maximum projections to assess future macroeconomic shifts in Brazil. Because Gemini handles massive context, you can feed years of historical reports alongside these fresh Focus Survey expectations. The agent identifies trends and drafts detailed market outlooks grounded in actual central bank data.

Track daily interbank spreads at scale

Automate daily treasury checks by calling `get_cdi` and `get_selic_diaria` inside your Google ADK workflows. The agent compares the daily effective Selic rate with the CDI to flag any unusual market deviations. This continuous monitoring keeps your financial models synchronized with SGS Series 11 and 12. The MCP Server keeps your pipeline running autonomously on Google Cloud, ensuring your investment strategies react instantly to liquidity changes.

Setup guide

Set up BCB Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BCB Juros — Selic, CDI e Expectativas Focus tools via MCP.",
    tools=mcp_tools,
)

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Common questions about BCB Juros — Selic, CDI e Expectativas Focus MCP in Google ADK

Initialize the tools using McpToolset with the server's HTTP endpoint in your Python environment. Pass the toolset directly to your LlmAgent to let your Gemini-powered agent query the Brazilian interest rates.

Yes, you can use the optional tool name filter in the ADK to expose only the tools you need. For instance, you can limit your agent to get_cdi if you only want to track interbank deposit rates.

Yes, any agent built with Google ADK running on Vertex AI can use these tools. Your models can query get_selic_meta to ground their reasoning in official financial data.

The tool get_selic_diaria queries the Central Bank of Brazil's SGS API directly. It fetches the daily effective rate as soon as the central bank publishes it, keeping your Google Cloud workflows accurate.

Yes, all data transmission occurs over secure, ephemeral channels. The server only fetches public Brazilian Selic, CDI, and Focus data, ensuring your internal BigQuery datasets and proprietary prompts remain entirely private.

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