How to Use the Nuvei MCP in AutoGen
Build multi-agent AutoGen workflows that debate risks, tokenize cards, and execute Nuvei payments automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Nuvei MCP to AutoGen
Create your Vinkius account to connect Nuvei 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.
Run multi-agent payment debates in AutoGen
The `create_payment` tool executes live authorization and charge requests within your AutoGen multi-agent conversations. Before this tool is called, your security agent can debate transaction risks with your billing agent to decide if the charge should proceed. This consensus-driven approach ensures that high-value charges are thoroughly vetted. If the security agent flags a risk, the system can route the flow to `void_payment` to cancel the pending authorization immediately.
Secure token lifecycles via AutoGen MCP Server agents
The `create_card_token` tool vaults raw card details into secure tokens during multi-agent checkout dialogues. Your customer service agent collects the billing updates and passes them to `update_token` to change expiry dates without exposing raw PANs to the other agents. If an agent detects a subscription cancellation request, it coordinates with the billing agent to call `delete_token`. This automated, multi-agent negotiation ensures tokens are removed from Nuvei the moment a contract ends.
Reconcile disputes using AutoGen agents
The `get_transactions` tool pulls historical payment lists so your AutoGen agents can audit account balances over the MCP connection. A reconciliation agent can compare these records against your internal database, calling `get_payment` to investigate any status mismatches. If the agents find a double charge, they negotiate the resolution and execute a `refund_payment` for the exact overcharged amount. This automates support workflows while keeping a clear log of agent decisions.
Set up Nuvei 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Nuvei tools and returns structured results.
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="Nuvei_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Nuvei data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Nuvei_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Nuvei data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nuvei. 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 Nuvei MCP in AutoGen
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