BCB Juros — Selic, CDI e Expectativas Focus MCP Server for LangChain 4 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect BCB Juros — Selic, CDI e Expectativas Focus through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"bcb-juros-selic-cdi-e-expectativas-focus": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using BCB Juros — Selic, CDI e Expectativas Focus, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About BCB Juros — Selic, CDI e Expectativas Focus MCP Server
Brazilian interest rates.
LangChain's ecosystem of 500+ components combines seamlessly with BCB Juros — Selic, CDI e Expectativas Focus through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the BCB Juros — Selic, CDI e Expectativas Focus MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 4 tools from BCB Juros — Selic, CDI e Expectativas Focus via MCP
Why Use LangChain with the BCB Juros — Selic, CDI e Expectativas Focus MCP Server
LangChain provides unique advantages when paired with BCB Juros — Selic, CDI e Expectativas Focus through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine BCB Juros — Selic, CDI e Expectativas Focus MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across BCB Juros — Selic, CDI e Expectativas Focus queries for multi-turn workflows
BCB Juros — Selic, CDI e Expectativas Focus + LangChain Use Cases
Practical scenarios where LangChain combined with the BCB Juros — Selic, CDI e Expectativas Focus MCP Server delivers measurable value.
RAG with live data: combine BCB Juros — Selic, CDI e Expectativas Focus tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query BCB Juros — Selic, CDI e Expectativas Focus, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain BCB Juros — Selic, CDI e Expectativas Focus tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every BCB Juros — Selic, CDI e Expectativas Focus tool call, measure latency, and optimize your agent's performance
BCB Juros — Selic, CDI e Expectativas Focus MCP Tools for LangChain (4)
These 4 tools become available when you connect BCB Juros — Selic, CDI e Expectativas Focus to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting BCB Juros — Selic, CDI e Expectativas Focus to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBCB Juros — Selic, CDI e Expectativas Focus + LangChain FAQ
Common questions about integrating BCB Juros — Selic, CDI e Expectativas Focus MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect BCB Juros — Selic, CDI e Expectativas Focus with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BCB Juros — Selic, CDI e Expectativas Focus to LangChain
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
