How to Use the Mercury MCP in AutoGen

Q: How do I register the Mercury MCP Server with AutoGen?

Use the mcpservertools adapter to convert the Mercury tools, then pass them to your AutoGen AssistantAgent. Your AutoGen agents can then call Mercury tools like getbalance during their debates.

Q: How do AutoGen agents reach consensus on Mercury transactions?

One AutoGen agent pulls the data using Mercury's listtransactions, and other agents review the output, challenging any anomalies until they agree on the financial health of the bank account.

Run collaborative AutoGen agent debates to analyze Mercury banking transactions using this MCP Server.

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Connect Mercury MCP to AutoGen

Create your Vinkius account to connect Mercury 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 Mercury with AutoGen

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Analyze Mercury MCP Server data with AutoGen debates

The `list_transactions` tool provides transaction logs so your AutoGen agents can debate and analyze company spending. A compliance agent can flag unusual transactions while a finance agent cross-checks them against active budgets. Instead of relying on a single agent's guess, you get a consensus-driven analysis of your cash flow. The agents discuss the transaction logs until they reach a verified conclusion.

Validate Mercury invoices through collaborative agent workflows

The `list_invoices` tool feeds outstanding receivable data directly into your AutoGen multi-agent conversations. One agent can draft payment reminders while another reviews the invoice status to ensure accuracy. This collaborative approach reduces errors in billing. Your agents negotiate the best follow-up strategy based on live invoice data.

Audit corporate cards with AutoGen consensus

The `list_cards` tool gives your AutoGen agents the ability to review active debit cards and match them to cardholders. A security agent can identify cards without recent activity while an operations agent proposes credit limit adjustments. The agents debate the utility of each card before presenting a joint recommendation. This ensures no card is cancelled or modified without thorough, automated deliberation.

Setup guide

Set up Mercury 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 Mercury 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="Mercury_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Mercury 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 Mercury. 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 Mercury MCP in AutoGen

Use the mcp_server_tools adapter to convert the Mercury tools, then pass them to your AutoGen AssistantAgent. Your AutoGen agents can then call Mercury tools like `get_balance` during their debates.

Yes. Different AutoGen agents in your conversation group can call Mercury tools like `list_recipients` or `list_accounts` to gather bank facts before debating their next financial decision.

One AutoGen agent pulls the data using Mercury's `list_transactions`, and other agents review the output, challenging any anomalies until they agree on the financial health of the bank account.

This setup supports both stdio and Streamable HTTP transports, allowing your AutoGen agents to communicate with the Mercury bank API securely.

Yes. Vinkius manages your Mercury API token securely inside an ephemeral sandbox. Your AutoGen agents never see the raw credentials when executing tools like `get_account` via our MCP gateway.

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