BrasilAPI MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect BrasilAPI 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({
"brasilapi": {
"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 BrasilAPI, 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 BrasilAPI MCP Server
Empower your AI agent to orchestrate your entire Brazilian institutional research workflow with BrasilAPI, the modern interface for Brazilian public data. By connecting BrasilAPI to your agent, you transform complex national lookups into a natural conversation. Your agent can instantly geolocate addresses via CEP, audit company profiles using CNPJ, and retrieve banking information without you ever touching a government portal. Whether you are conducting KYC checks or managing national logistics, your agent acts as a real-time institutional analyst, ensuring your Brazilian data is always verified and up-to-date.
LangChain's ecosystem of 500+ components combines seamlessly with BrasilAPI through native MCP adapters. Connect 6 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.
What you can do
- CEP Auditing — Retrieve high-resolution address details for any Brazilian zip code (CEP) and identify neighborhoods and cities instantly.
- Corporate Oversight — Audit Brazilian companies using CNPJ to retrieve detailed registration metadata, including tax status and economic activity.
- Banking Intelligence — List all banks operating in Brazil and retrieve official codes and clearing metadata.
- Asset Monitoring — Query vehicle prices from the FIPE table to understand current market valuations in Brazil.
- National Monitoring — List national holidays and retrieve state (UF) metadata from IBGE to coordinate regional operations.
The BrasilAPI MCP Server exposes 6 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 BrasilAPI to LangChain via MCP
Follow these steps to integrate the BrasilAPI 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 6 tools from BrasilAPI via MCP
Why Use LangChain with the BrasilAPI MCP Server
LangChain provides unique advantages when paired with BrasilAPI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine BrasilAPI 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 BrasilAPI queries for multi-turn workflows
BrasilAPI + LangChain Use Cases
Practical scenarios where LangChain combined with the BrasilAPI MCP Server delivers measurable value.
RAG with live data: combine BrasilAPI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query BrasilAPI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain BrasilAPI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every BrasilAPI tool call, measure latency, and optimize your agent's performance
BrasilAPI MCP Tools for LangChain (6)
These 6 tools become available when you connect BrasilAPI to LangChain via MCP:
get_brazilian_holidays
List national holidays in Brazil for a specific year
get_cep_details
Get address details for a Brazilian CEP
get_cnpj_details
Get company details for a Brazilian CNPJ
get_fipe_vehicle_price
Get vehicle price from FIPE table
list_brazilian_banks
List all banks operating in Brazil
list_brazilian_states
List all states (UFs) in Brazil via IBGE
Example Prompts for BrasilAPI in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with BrasilAPI immediately.
"Get address details for CEP 01001000 using BrasilAPI."
"Show company details for CNPJ 19131243000197."
"List all banks in Brazil."
Troubleshooting BrasilAPI MCP Server with LangChain
Common issues when connecting BrasilAPI to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBrasilAPI + LangChain FAQ
Common questions about integrating BrasilAPI 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 BrasilAPI 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 BrasilAPI to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.