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Focus Logística MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Focus Logística through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Focus Logística Assistant",
            instructions=(
                "You help users interact with Focus Logística. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Focus Logística"
        )
        print(result.final_output)

asyncio.run(main())
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About Focus Logística MCP Server

Connect Focus Logística to any AI agent and manage your Brazilian cargo transport documentation — issue CT-e (Conhecimento de Transporte), MDF-e (Manifesto de Carga), close manifests, and download XMLs through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from Focus Logística through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Focus Logística, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Emit CT-e — Issue transport invoices for all modalities (road, air, rail, waterway)
  • Emit MDF-e — Create cargo manifests grouping multiple CT-e documents
  • Consult Status — Check authorization and current status of CT-e and MDF-e
  • Close Manifests — Mark MDF-e as finished/encerrado after delivery
  • Cancel Documents — Cancel CT-e with valid justification
  • Download XML — Retrieve XML for accounting and legal compliance

The Focus Logística MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Focus Logística to OpenAI Agents SDK via MCP

Follow these steps to integrate the Focus Logística MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 7 tools from Focus Logística

Why Use OpenAI Agents SDK with the Focus Logística MCP Server

OpenAI Agents SDK provides unique advantages when paired with Focus Logística through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Focus Logística + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Focus Logística MCP Server delivers measurable value.

01

Automated workflows: build agents that query Focus Logística, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Focus Logística, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Focus Logística tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Focus Logística to resolve tickets, look up records, and update statuses without human intervention

Focus Logística MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Focus Logística to OpenAI Agents SDK via MCP:

01

cancel_cte

Cancel a CT-e

02

close_mdfe

Close/Finish a MDF-e

03

consult_cte

Consult CT-e status

04

consult_mdfe

Consult MDF-e status

05

download_xml

Download XML for CT-e or MDF-e

06

emit_cte

Emit a Conhecimento de Transporte (CT-e)

07

emit_mdfe

Emit Manifesto de Carga (MDF-e)

Example Prompts for Focus Logística in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Focus Logística immediately.

01

"Emit a CT-e for a freight of R$1,200.00 from SP to RJ."

02

"Close the MDF-e reference MDF-001."

03

"Download the XML for CT-e reference CTE-001."

Troubleshooting Focus Logística MCP Server with OpenAI Agents SDK

Common issues when connecting Focus Logística to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Focus Logística + OpenAI Agents SDK FAQ

Common questions about integrating Focus Logística MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Focus Logística to OpenAI Agents SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.