How to Use the Stark Bank MCP in CrewAI

Q: Which tools are best for tracking historical payments with Stark Bank in CrewAI?

You should assign roles to two agents: one that uses starklistpixcharges and another that uses starklisttransfers. This ensures a complete, cross-referenced view of all movement types.

Q: What specific financial data types does Stark Bank touch in CrewAI?

The crew handles both receivables (Boleto status via starklistboletos) and outgoing payments (Transfers, Pix charges), giving a full picture of the company's cash flow movements.

Run autonomous operations across Stark Bank payments using the collaborative power of CrewAI.

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Connect Stark Bank MCP to CrewAI

Create your Vinkius account to connect Stark Bank to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Stark Bank with CrewAI

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Coordinate payment lifecycle management.

Need to manage receivables? Set up a specialized 'Billing Agent' that uses `stark_create_boleto` to issue lots of bills. A separate 'Audit Agent' then monitors the status using `stark_list_boletos`. This role-based specialization ensures every bill is tracked until payment.

Process payments across multiple channels.

You can build a dedicated 'Disbursement Crew.' One agent uses `stark_create_pix_charge` for immediate needs. Another agent handles scheduled funds using `stark_create_transfer`. The crew then verifies all transactions by calling `stark_list_transfers`, ensuring every payment path is covered.

Maintain a unified view of bank activity.

A 'Treasury Agent' can check the current liquid balance via `stark_get_balance` right before running any disbursement. This agent also generates detailed cash flow reports using `stark_get_statement`, providing the entire team with the necessary financial context.

Setup guide

Set up Stark Bank MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Stark Bank tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Stark Bank Analyst",
    goal="Access and analyze Stark Bank data via MCP.",
    backstory="Expert analyst with direct Stark Bank access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Stark Bank transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Stark Bank Analyst",
        goal="Access and analyze Stark Bank data via MCP.",
        backstory="Expert analyst with direct Stark Bank access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Stark Bank transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Stark Bank. 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 Stark Bank MCP in CrewAI

It runs specialized agents that collaborate. One agent might initiate a card creation (`stark_create_corporate_card`), while another agent processes the resulting expense, creating an autonomous operational flow.

You should assign roles to two agents: one that uses `stark_list_pix_charges` and another that uses `stark_list_transfers`. This ensures a complete, cross-referenced view of all movement types.

Yes. You can set up an 'Accounts Receivable Agent' that first uses `stark_create_boleto` and then periodically reports on progress using `stark_list_boletos`, automating collection follow-up.

The structure supports hierarchical execution. For example, a 'Payment Agent' can first check the balance (`stark_get_balance`) and then proceed to execute `stark_create_transfer` only if sufficient funds are confirmed.

The crew handles both receivables (Boleto status via `stark_list_boletos`) and outgoing payments (Transfers, Pix charges), giving a full picture of the company's cash flow movements.

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