How to Use the FynCom MCP in AutoGen

Q: How do I load the FynCom tools into an AutoGen agent?

Install the autogen-extmcp package. Use mcpservertools with your endpoint URL, and the McpToolAdapter will automatically convert the FynCom schemas for your AssistantAgent.

Q: Can multiple AutoGen agents use the FynCom tools simultaneously?

Yes. You can assign getwalletbalance to a finance agent and sendreward to a customer service agent. They will coordinate and call their respective tools during the conversation.

Q: Does AutoGen support streaming the FynCom MCP server responses?

You configure the connection using StreamableHttpServerParams. This handles the HTTP transport and ensures the agent receives tool execution results reliably.

Build multi-agent AutoGen systems that debate and authorize FynCom micro-payments.

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Multi-agent debate for MCP Server payouts

The `send_reward` tool executes actual financial transactions based on the outcome of an AutoGen agent negotiation. You set up a marketing agent that wants to pay users for survey completions, and a finance agent that monitors the budget. They discuss the user's input. Only when both agents reach an agreement does the system format the JSON string and trigger the actual payout.

Monitor budgets with a dedicated finance agent

The `get_wallet_balance` tool gives your finance-focused agent real-time visibility into your available funds through this MCP integration. When the marketing agent proposes adding a new user via `add_reward_lead`, the finance agent checks the ledger first. If the balance drops below a safe threshold, the finance agent vetoes the action. You get automated budget enforcement without writing complex conditional logic.

Audit campaigns with a compliance agent

The `list_reward_campaigns` tool lets an oversight agent review every active incentive program on your account. It pulls the data and cross-references the rules using `get_campaign_details`. The agent then reviews past behavior by calling `list_reward_history`. If it spots anomalies or rapid budget drains, it flags the conversation and halts further automated rewards.

Setup guide

Set up FynCom 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 FynCom 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="FynCom_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="FynCom_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 FynCom. 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 FynCom MCP in AutoGen

Install the `autogen-ext[mcp]` package. Use `mcp_server_tools` with your endpoint URL, and the `McpToolAdapter` will automatically convert the FynCom schemas for your `AssistantAgent`.

Yes. You can assign `get_wallet_balance` to a finance agent and `send_reward` to a customer service agent. They will coordinate and call their respective tools during the conversation.

The API returns an error. To prevent this, prompt your agents to always call `get_wallet_balance` before attempting to execute a transaction.

You configure the connection using `StreamableHttpServerParams`. This handles the HTTP transport and ensures the agent receives tool execution results reliably.

Your agents transmit sensitive lead data and reward amounts. The underlying isolation model guarantees that these variables exist only in memory during the tool execution phase, terminating the context entirely the moment the FynCom API confirms receipt.

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