How to Use the Finmei MCP in AutoGen

Enable multi-agent debate and consensus on your business finances using the Finmei MCP server and AutoGen.

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Connect Finmei MCP to AutoGen

Create your Vinkius account to connect Finmei 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 Finmei with AutoGen

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Coordinate agents with Finmei tools

Let your agents negotiate expense approvals by giving them access to `create_expense` and `update_expense`. One agent can propose an entry while another reviews the tax category, ensuring accuracy before the final record is saved. This setup leverages the deliberation capabilities of AutoGen, where agents debate the correct classification for each transaction based on your business profile.

Debate financial records via AutoGen

Configure a security agent to check `list_payments` for suspicious activity while a financial agent manages your ledger. They can communicate and challenge each other's conclusions using the data provided by the Finmei MCP server. This process forces the system to reach a consensus, reducing the chance of manual entry errors in your financial tracking.

Automate ledger maintenance with AutoGen

Use `list_tax_types` and `list_currencies` to provide agents with the constraints they need to perform their duties. The agents discuss these constraints to ensure that every `update_expense` call aligns with current business rules. You can monitor the full conversation history to see exactly how your agents arrived at their decisions regarding your financial management.

Setup guide

Set up Finmei 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 Finmei 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="Finmei_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Get your connection token →

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Common questions about Finmei MCP in AutoGen

You initialize the MCP tools and pass them to your AssistantAgent. This allows your agents to call the tools directly during their discussions.

Yes. By assigning different roles to your agents, they can debate the best way to handle your financial data, using the tools to verify their arguments.

It does. You can include the Finmei tools in a group chat where multiple agents collaborate on complex financial tasks.

The adapter automatically converts the MCP schemas into a format that AutoGen understands. This ensures your agents have the correct parameters for every tool call.

The server acts as a gatekeeper for your expense and payment records. Only the agents you authorize can see or modify this data, and all interactions occur within your isolated execution environment.

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