What is the difference between Selic and CDI?

Selic is the overnight rate for government bond-backed interbank loans, set/targeted by the COPOM. CDI is the interbank rate for unsecured overnight deposits between banks. CDI closely tracks Selic and is the most common benchmark for fixed-income investments in Brazil.

Can I trust the Selic Daily effective values?

Yes. The module pipes data strictly authenticated by the Brazilian Central Bank. The effective Selic updates are legally suitable for debt recalculations and financial modeling.

Does it include expected adjustments set by COPOM?

Absolutely. By integrating the Focus expectations array, your AI is acutely aware of forward market opinions preceding actual COPOM rate cut decisions.

BCB Juros — Selic, CDI e Expectativas Focus MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: BCB Juros — Selic, CDI e Expectativas Focus
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BCB Juros — Selic, CDI e Expectativas Focus through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to BCB Juros — Selic, CDI e Expectativas Focus "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in BCB Juros — Selic, CDI e Expectativas Focus?"
    )
    print(result.data)

asyncio.run(main())

BCB Juros — Selic, CDI e Expectativas Focus

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About BCB Juros — Selic, CDI e Expectativas Focus MCP Server

Brazilian interest rates.

Pydantic AI validates every BCB Juros — Selic, CDI e Expectativas Focus tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

4 Tools

Selic Target — COPOM decisions
Selic Daily — Effective overnight rate
CDI — Interbank deposit certificate rate
Focus Expectations — Market forecasts

The BCB Juros — Selic, CDI e Expectativas Focus MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BCB Juros — Selic, CDI e Expectativas Focus to Pydantic AI via MCP

Follow these steps to integrate the BCB Juros — Selic, CDI e Expectativas Focus MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from BCB Juros — Selic, CDI e Expectativas Focus with type-safe schemas

Why Use Pydantic AI with the BCB Juros — Selic, CDI e Expectativas Focus MCP Server

Pydantic AI provides unique advantages when paired with BCB Juros — Selic, CDI e Expectativas Focus through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your BCB Juros — Selic, CDI e Expectativas Focus integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your BCB Juros — Selic, CDI e Expectativas Focus connection logic from agent behavior for testable, maintainable code

BCB Juros — Selic, CDI e Expectativas Focus + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the BCB Juros — Selic, CDI e Expectativas Focus MCP Server delivers measurable value.

Type-safe data pipelines: query BCB Juros — Selic, CDI e Expectativas Focus with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple BCB Juros — Selic, CDI e Expectativas Focus tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query BCB Juros — Selic, CDI e Expectativas Focus and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock BCB Juros — Selic, CDI e Expectativas Focus responses and write comprehensive agent tests

BCB Juros — Selic, CDI e Expectativas Focus MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect BCB Juros — Selic, CDI e Expectativas Focus to Pydantic AI via MCP:

get_cdi

O CDI é a referência para a maioria dos investimentos em renda fixa no Brasil (CDBs, LCIs, LCAs, fundos DI). Geralmente fica muito próximo da Selic. Série SGS: 12. Obter a taxa CDI (Certificado de Depósito Interbancário)

get_expectativas_selic

Inclui mediana, média, mínimo e máximo das projeções das instituições financeiras. O Focus é publicado toda segunda-feira pelo BCB. Obter as expectativas do mercado para a taxa Selic (Relatório Focus)

get_selic_diaria

Reflete a execução real da política monetária. Série SGS: 11. Obter a taxa Selic efetiva (diária)

get_selic_meta

A Selic é a taxa básica da economia brasileira e referência para todas as demais taxas de juros do país. Série SGS: 432. Obter a meta da taxa Selic definida pelo COPOM

Example Prompts for BCB Juros — Selic, CDI e Expectativas Focus in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with BCB Juros — Selic, CDI e Expectativas Focus immediately.

"What is the current Selic interest rate in Brazil?"

"Fetch the CDI accumulated rate for the previous month."

"List the Focus survey expectation for the Selic rate by next December."

Troubleshooting BCB Juros — Selic, CDI e Expectativas Focus MCP Server with Pydantic AI

Common issues when connecting BCB Juros — Selic, CDI e Expectativas Focus to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BCB Juros — Selic, CDI e Expectativas Focus + Pydantic AI FAQ

Common questions about integrating BCB Juros — Selic, CDI e Expectativas Focus MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your BCB Juros — Selic, CDI e Expectativas Focus MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.