How to Use the Fintoc MCP in AutoGen

Q: Can AutoGen use Fintoc to automate payments?

Yes. An agent can call createpaymentintent after the team of agents reaches a consensus. You control the constraints in the agent prompt to ensure safety.

Enable multi-agent debate and decision-making using Fintoc financial tools with AutoGen.

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Connect Fintoc MCP to AutoGen

Create your Vinkius account to connect Fintoc 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 Fintoc with AutoGen

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Agents debating financial actions

Deploy a security agent to inspect `create_payment_intent` parameters while a finance agent proposes the transfer amount. AutoGen allows these agents to discuss the risk before the server executes the final call. This debate process ensures that every payment intent is verified by multiple perspectives. It prevents unauthorized or incorrect transactions by requiring consensus among your defined agents.

Automated reconciliation with multiple agents

Task your agents with comparing internal ledgers against the results of `list_movements`. If the agents find a mismatch, they can debate the cause and propose a correction. This eliminates the need for human oversight on routine reconciliations. The agents handle the data gathering and validation autonomously, only flagging issues that require human intervention.

Scalable bank account management

Use `list_accounts` and `get_account` to maintain a real-time view of your financial state across different agents. Each agent can query the server to check balances or verify account status. Because AutoGen agents share context, one agent can update the team on account changes while others adjust their strategies. This creates a responsive system that adapts to your actual bank account data.

Setup guide

Set up Fintoc 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 Fintoc 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="Fintoc_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Fintoc 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="Fintoc_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about Fintoc MCP in AutoGen

You assign specific roles to agents and provide them with the Fintoc tool definitions. They use the tool outputs as evidence during their conversation to reach a conclusion.

Yes. An agent can call `create_payment_intent` after the team of agents reaches a consensus. You control the constraints in the agent prompt to ensure safety.

The agent receives an error message from the MCP server. Your agents can then discuss the failure and decide whether to retry the call or alert a human.

Install the MCP extension, configure your server URL, and pass the tool list to your AssistantAgent. The adapter handles the schema mapping automatically.

The server enforces strict boundary controls. Your sensitive banking data, including account movements and payment details, is only exposed to the agents authorized to use the tools.

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