How to Use the BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in Google ADK

Connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas to your Google ADK infrastructure for enterprise reporting.

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Connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP to Google ADK

Create your Vinkius account to connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas with Google ADK

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Direct index retrieval in Google ADK

Feed Brazilian economic indices directly into your Gemini-powered agents. The `get_ipca` and `get_igpm` tools allow your agents to pull current values for inflation and contract indexing. This setup works perfectly for agents managing large data sets on Google Cloud. You get the latest figures without building custom scrapers.

Integrate Focus Survey expectations into Google ADK

Use `get_expectativas_inflacao` to retrieve market expectations for your long-context reasoning tasks. Gemini models can process these reports against your existing BigQuery data. It allows for complex trend analysis based on official Central Bank projections. You keep your agent logic centralized within the Google ecosystem.

Automated inflation metrics for Google ADK

Simplify the tracking of wage and rent adjustments using `get_inpc` and `get_ipca15`. These tools provide the precise series data needed for automated financial reporting. Configure your MCP toolset to expose only what you need. This keeps your agent's tool surface area clean and focused on your specific business requirements.

Setup guide

Set up BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BCB Inflação — IPCA, IGP-M, INPC e Expectativas tools via MCP.",
    tools=mcp_tools,
)

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Common questions about BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in Google ADK

You instantiate an McpToolset using the server's URL. Once defined, you add it to your LlmAgent tool list to begin executing queries.

Yes. The framework detects the tools exposed by the server automatically. You can even filter tool names if you want to restrict which indices your agent can access.

Absolutely. You can inject the output of these inflation tools into the long-context window, allowing the agent to reason over vast amounts of historical economic data.

It supports both Stdio and HTTP transports. This gives you flexibility depending on whether your MCP server runs locally or as a remote service.

The server operates in a zero-trust, ephemeral sandbox managed by Vinkius. Only public-facing Central Bank indices are requested, keeping your internal infrastructure isolated from the external query process.

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