How to Use the Wise MCP in CrewAI

Q: How does Wise help with balance checks in CrewAI?

The agent uses listbalances to get a full picture of assets. This data allows the crew to immediately determine if a transfer is possible, preventing failed operations before they even start.

Q: Can Wise manage transaction history in CrewAI?

Absolutely. You can use listtransfers and gettransfer to gather complete transaction histories. The crew then analyzes this data set for compliance or reporting purposes automatically.

Q: If I need live rates with Wise in CrewAI, what do I use?

You call getexchangerate. This single tool provides the real-time rate necessary. The crew incorporates this variable into any quoting process or financial analysis.

Q: What specific data does Wise touch when listing profiles in CrewAI?

The listprofiles tool lets the agent access all business profile information. This is essential for ensuring that subsequent transfers use the correct legal entity details.

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Connect Wise MCP to CrewAI

Create your Vinkius account to connect Wise 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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Autonomous Balance Monitoring

A specialized agent can watch for low funds. It uses `list_balances` to check all currencies against defined thresholds. If a balance drops below the limit, it automatically triggers an alert or calls `get_transfer` to investigate. This provides continuous, passive monitoring of account health.

Automated Statement Analysis

A research agent can pull historical data using `list_statements`. A second analysis agent then processes this raw statement data. They work together to flag unusual or suspicious transaction patterns. This is far beyond simple reporting; it's pattern recognition.

Intelligent Payment Routing and Quoting

The crew can first call `get_currencies` to validate the target market. Then, an action agent uses `create_quote` and `list_recipients` to build a comprehensive transfer plan. The final moderator confirms all parameters before execution. It handles validation steps that usually require manual input.

Setup guide

Set up Wise 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 Wise tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Wise 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="Wise Analyst",
        goal="Access and analyze Wise data via MCP.",
        backstory="Expert analyst with direct Wise access.",
        tools=mcp_tools,
    )

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

The agent uses `list_balances` to get a full picture of assets. This data allows the crew to immediately determine if a transfer is possible, preventing failed operations before they even start.

Absolutely. You can use `list_transfers` and `get_transfer` to gather complete transaction histories. The crew then analyzes this data set for compliance or reporting purposes automatically.

You call `get_exchange_rate`. This single tool provides the real-time rate necessary. The crew incorporates this variable into any quoting process or financial analysis.

The `list_profiles` tool lets the agent access all business profile information. This is essential for ensuring that subsequent transfers use the correct legal entity details.

This server handles account balances, transfer history, and quoting. Specifically, it touches multi-currency balance data (`list_balances`) and payment recipient lists via `list_recipients`.

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