How to Use the Wise MCP in AutoGen

Q: How can AutoGen manage transfer history with Wise?

You provide the listtransfers tool. The agents debate the historical records, ensuring that all relevant transfers are considered before making a new financial recommendation.

Q: Can I check balances and profiles using Wise and AutoGen?

Yes. Agents can cross-reference listprofiles with listbalances. They argue about which profile has the most stable funds, providing a debated answer rather than just a single data point.

Q: Is generating a quote reliable with Wise and AutoGen?

AutoGen forces verification. By making the agents check getexchangerate before running createquote, you ensure that the final quoted price is robustly agreed upon by multiple simulated checks.

Q: Does AutoGen support listing all transfers from Wise?

It does. The listtransfers tool gives the agents a complete set of transaction data to work with, which they then analyze and debate for crucial insights.

Run consensus-driven finance decisions with AutoGen using Wise MCP Server.

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Connect Wise MCP to AutoGen

Create your Vinkius account to connect Wise to AutoGen 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 Wise with AutoGen

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Debating Financial Decisions with the MCP Server

AutoGen agents don't just execute; they debate. You can set up a system where one agent uses `get_exchange_rate` to establish a baseline rate, while another challenges that rate using live data from `get_currencies`. The third agent then mediates the final transfer decision. This consensus-driven approach is perfect for finance because it forces deliberation on conflicting inputs. Agents negotiate which quote (`create_quote`) is safest or fastest based on multiple tool outputs.

Verifying Funds and Profiles with AutoGen

A security agent can check available funds by calling `list_balances`, while a compliance agent simultaneously checks the validity of necessary accounts using `list_profiles`. They debate whether sufficient, properly profiled money exists for the intended action. The agents use `get_balance` iteratively on different profiles until they reach consensus that all required accounts are funded and accessible.

Managing Payment Logistics with Wise MCP Server

You can model a complete payment process. One agent calls `list_recipients` to verify the payee list, while another uses `get_transfer` to check if a specific payout was successful. They work together until they achieve agreement on the transfer status. This multi-agent approach handles complex workflows where multiple steps—from listing accounts (`list_accounts`) to verifying statements (`list_statements`)—must pass consensus before proceeding.

Setup guide

Set up Wise MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Wise tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Wise_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Wise data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Wise_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Wise data")
    print(result.messages[-1].content)

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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 AutoGen

You provide the `list_transfers` tool. The agents debate the historical records, ensuring that all relevant transfers are considered before making a new financial recommendation.

Yes. Agents can cross-reference `list_profiles` with `list_balances`. They argue about which profile has the most stable funds, providing a debated answer rather than just a single data point.

The server touches account statement data. Because agents debate based on these records, you must ensure all agent inputs and outputs are handled according to strict financial data protocols.

AutoGen forces verification. By making the agents check `get_exchange_rate` before running `create_quote`, you ensure that the final quoted price is robustly agreed upon by multiple simulated checks.

It does. The `list_transfers` tool gives the agents a complete set of transaction data to work with, which they then analyze and debate for crucial insights.

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