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

Get type-safe inflation data for your Pydantic AI agents with BCB Inflação — IPCA, IGP-M, INPC e Expectativas.

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Connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP to Pydantic AI

Create your Vinkius account to connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas to Pydantic AI 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 Pydantic AI

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Type-safe Brazilian inflation tools for Pydantic AI

Ensure your agent handles inflation data correctly by validating every response against Pydantic models. Use `get_ipca` or `get_ipca15` and catch any schema mismatches before they hit your logic. This prevents the common issues of silent corruption in your financial agents. If the data format changes, your agent throws a validation error immediately.

Strict expectation reporting in Pydantic AI

Query market expectations using `get_expectativas_inflacao` with full type safety. Your agent will only process data that matches your defined schema. This removes the risk of hallucinated fields when parsing the Central Bank's Focus Survey. It is the safest way to build automated economic forecasting agents.

Reliable contract indexing for Pydantic AI

Retrieve `get_igpm` and `get_inpc` values knowing they are strictly validated. Your agents can rely on these indices for calculating contract reajustments without manual verification. By using Pydantic models, you gain total control over the data flowing into your system. It keeps your agent's state clean and predictable at all times.

Setup guide

Set up BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "bcb-inflacao-ipca-igp-m-inpc-e-expectativas-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to BCB Inflação — IPCA, IGP-M, INPC e Expectativas tools.",
)

result = await agent.run("List recent BCB Inflação — IPCA, IGP-M, INPC e Expectativas transactions")
print(result.output)

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

Define a Pydantic model for the expected inflation data. The framework automatically validates the tool output against this model at runtime.

Yes. The MCPToolset supports both Streamable HTTP and SSE, allowing you to choose the transport that fits your environment best.

It is. Because the validation happens at the framework level, it doesn't matter which underlying model you use to invoke the inflation tools.

The agent will fail with a validation error. This ensures you never act on corrupted or unexpected data structures within your economic agent.

Your queries stay within an ephemeral sandbox. The server only fetches public Central Bank indicators, ensuring that your private agent logic and environment settings remain encrypted and strictly separated from the data retrieval.

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