How to Use the Asaas MCP in AutoGen

Q: How do I register Asaas MCP tools with an AutoGen agent?

Install autogen-extmcp and use mcpservertools with your Vinkius HTTP URL. Pass the generated tools array directly to your AssistantAgent constructor.

Deploy debating AutoGen agents to verify, execute, and audit Brazilian payments using this MCP Server.

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Create your Vinkius account to connect Asaas 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 Asaas with AutoGen

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Let AutoGen agents debate and execute payments

The `create_payment` tool allows your financial execution agent to generate bank slips or Pix charges after a consensus is reached. In an AutoGen group chat, a billing agent proposes a charge, and a compliance agent checks it before invoking this tool. This multi-agent verification prevents accidental billing runs or duplicate charges. The agents discuss the transaction details in plain text, verify the customer details, and execute the charge only when all conditions are met.

Coordinate balance checks and fund transfers

The `list_transfers` tool provides your auditing agent with a complete record of all outbound financial moves. Meanwhile, your budget agent uses `get_balance` to monitor current funds in Brazilian Reals. These agents compare notes in your AutoGen conversation thread. If a transfer is missing or the balance is too low, they coordinate to halt further operations and alert your team.

Automate customer onboarding with agent consensus

The `create_customer` tool registers new Brazilian entities once your validation agents verify their tax IDs. Your onboarding agent collects the raw data, while a verification agent checks for formatting errors before calling the tool. If the verification fails, the agents debate the formatting error and ask the user for clarification. Once resolved, they run `get_account_check` to ensure the API channel is clear before saving the new customer profile.

Setup guide

Set up Asaas 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 Asaas 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="Asaas_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius HTTP URL. Pass the generated tools array directly to your `AssistantAgent` constructor.

Yes, you can set up a group chat where a compliance agent must approve a transaction before the execution agent calls `create_payment`. This ensures consensus-driven financial actions.

When an MCP tool call fails, the error message is returned to the conversation thread. The agents analyze the error, discuss a fix, and attempt a corrected call.

Yes, the adapter supports both stdio and Streamable HTTP transports. For Vinkius-hosted servers, you'll use the Streamable HTTP transport with your secure token.

All financial payloads are processed in ephemeral V8 isolates on Vinkius. Your API keys and Brazilian transaction details are never logged or stored on the hosting platform.

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