BrasilAPI MCP Server for CrewAI 6 tools — connect in under 2 minutes
Connect your CrewAI agents to BrasilAPI through Vinkius, pass the Edge URL in the `mcps` parameter and every BrasilAPI tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="BrasilAPI Specialist",
goal="Help users interact with BrasilAPI effectively",
backstory=(
"You are an expert at leveraging BrasilAPI tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in BrasilAPI "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 6 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, BrasilAPI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call BrasilAPI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the BrasilAPI MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 6 tools from BrasilAPI
Why Use CrewAI with the BrasilAPI MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with BrasilAPI through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
BrasilAPI + CrewAI Use Cases
Practical scenarios where CrewAI combined with the BrasilAPI MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries BrasilAPI for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries BrasilAPI, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain BrasilAPI tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries BrasilAPI against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
BrasilAPI MCP Tools for CrewAI (6)
These 6 tools become available when you connect BrasilAPI to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting BrasilAPI to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
BrasilAPI + CrewAI FAQ
Common questions about integrating BrasilAPI MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect BrasilAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 CrewAI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
