How to Use the Conta Azul MCP in AutoGen

Q: How do AutoGen agents collaborate on Conta Azul customer data?

One agent runs searchcustomers to find existing records, while another reviews the tax details. They debate whether to update the profile or create a new one using createcustomer.

Q: How do I connect AutoGen agents to Conta Azul via MCP?

Install the extension using pip install -U "autogen-extmcp" first. Then, load the tools with mcpservertools and pass them directly to your AssistantAgent.

Build AutoGen agent teams that debate, verify, and write Conta Azul ERP financial records through consensus.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Conta Azul MCP to AutoGen

Create your Vinkius account to connect Conta Azul 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.

GDPR Free for Subscribers

Setup Conta Azul with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-driven sales logging in AutoGen

The `create_customer` tool registers new buyers in the ERP only after your AutoGen agents agree on the tax data accuracy. A validation agent inspects the raw CPF or CNPJ format, while a billing agent prepares the customer profile. They negotiate the payload structure before executing the final tool call. This cooperative process prevents malformed records from entering your accounting system. You avoid manual corrections because the agents resolve formatting discrepancies during their conversation.

Multi-agent fiscal verification via MCP Server

The `list_nfe` tool pulls government-issued product invoices to let your agent team run automated fiscal audits. One AutoGen agent analyzes the tax data while another matches it against internal sales logs from `list_sales`. They debate discrepancies in real time to locate missing invoices or incorrect values. This collaborative check ensures your tax reporting matches government records perfectly. The MCP Server provides direct access to these endpoints, giving your agents the raw data they need to negotiate.

Automated contract and bank reconciliation

The `list_bank_accounts` tool retrieves current bank positions to feed your multi-agent reconciliation workspace. Your AutoGen performance agent pushes to match transactions quickly, while the security agent verifies each entry against `list_contracts`. They cross-reference the data until they reach a consensus on your cash flow status. Once they agree, the team updates the corresponding records without human intervention. This setup turns a tedious accounting chore into an automated, self-correcting conversation.

Setup guide

Set up Conta Azul 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 Conta Azul 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="Conta Azul_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Conta Azul 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 Conta Azul. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Conta Azul now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Conta Azul MCP in AutoGen

One agent runs `search_customers` to find existing records, while another reviews the tax details. They debate whether to update the profile or create a new one using `create_customer`.

Yes, you configure an agent team where one retrieves invoices via `list_nfe` and another cross-references them with `list_sales`. They flag any mismatches directly in their conversation log.

Install the extension using `pip install -U "autogen-ext[mcp]"` first. Then, load the tools with `mcp_server_tools` and pass them directly to your `AssistantAgent`.

Yes, you can connect your AutoGen agents using either transport method. The `McpToolAdapter` handles the schema conversion automatically behind the scenes.

Your raw sales logs, customer tax documents, and bank balances are processed inside a zero-trust, ephemeral V8 sandbox. Vinkius secures your API keys and never retains any of the financial payloads.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript