How to Use the IBAN.com MCP in CrewAI

Q: How do I add IBAN.com to my CrewAI agent crew?

You pass the endpoint URL directly into the mcps list of your agent. This grants your crew immediate access to all six validation tools.

Q: How do I filter tools for specific agents in CrewAI?

Use the toolfilter option in the MCP client setup. You can give your research agent different access than your action agent, maintaining strict control.

Deploy a specialized CrewAI agent team to automate financial compliance monitoring and cross-border payment verification.

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Connect IBAN.com MCP to CrewAI

Create your Vinkius account to connect IBAN.com 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.

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Setup IBAN.com with CrewAI

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Perplexity

Coordinate agents for financial auditing

Assign a monitor agent to use `get_bank_details` and `validate_iban` while a second agent manages the transaction flow. They share memory, so your team stays updated on every validation status. This division of labor prevents bottlenecks. One agent handles the data verification while the other manages the communication or escalation tasks.

Validate card entries at scale

Use `validate_card_luhn` as a gatekeeper for your research agents. They can clean up incoming data before passing it to the final action agent in the crew. Your agents become more effective when they aren't wasting time on malformed entries. It keeps the entire crew focused on valid records.

Automate verification for global payments

The `validate_swift_bic` tool allows your agents to confirm routing codes before any payment is initiated. It’s a critical layer of protection for autonomous operations. Your agents can be configured to stop a workflow entirely if a code fails verification. This protects your business from unnecessary transaction fees.

Setup guide

Set up IBAN.com 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 IBAN.com tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent IBAN.com 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 →

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

    task = Task(
        description="List recent IBAN.com 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 IBAN.com. 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 IBAN.com MCP in CrewAI

You pass the endpoint URL directly into the `mcps` list of your agent. This grants your crew immediate access to all six validation tools.

Yes, because the crew shares a memory context. If one agent validates an account, the entire team knows the result for their subsequent tasks.

It is designed for high-concurrency environments. Your agents can query the server simultaneously without hitting rate limits that would stop a single-threaded process.

Use the `tool_filter` option in the MCP client setup. You can give your research agent different access than your action agent, maintaining strict control.

No. The server acts as a transient processor for your account strings and BIC codes. It does not persist your financial data in any form.

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