How to Use the Conta Azul MCP in CrewAI
Deploy specialized agent crews to manage Conta Azul. Let your team of agents handle your financial data, sales, and products.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Conta Azul MCP to CrewAI
Create your Vinkius account to connect Conta Azul to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Collaborative Conta Azul crews
Assign a researcher agent to `list_customers` while a separate analyst agent inspects those profiles with `get_customer`. They share memory to refine their output. This delegation model lets your crew handle complex tasks. One agent finds the discrepancy, and the other fixes it using the available tools.
Autonomous ERP management
Configure your crew to maintain your ledger by querying `list_bank_accounts` and `list_sales`. They act without your constant input to keep records current. Your agents follow a hierarchical structure. You determine the lead agent, and the subordinates execute the specific tool calls.
Specialized financial agents
Equip agents with specific tools like `list_nfe` to monitor government-linked tax filings. They report back once the audit is complete. Your crew stays focused on the task at hand. By limiting tool exposure, you ensure each agent only does what it was built for.
Set up Conta Azul MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Conta Azul tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Conta Azul Analyst",
goal="Access and analyze Conta Azul data via MCP.",
backstory="Expert analyst with direct Conta Azul access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Conta Azul transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Conta Azul Analyst",
goal="Access and analyze Conta Azul data via MCP.",
backstory="Expert analyst with direct Conta Azul access.",
tools=mcp_tools,
)
task = Task(
description="List recent Conta Azul transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Conta Azul. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Conta Azul MCP in CrewAI
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