How to Use the Focus Admin MCP in OpenAI Agents SDK

Q: How do I configure this MCP Server in my OpenAI Agents SDK project?

Initialize MCPServerStreamableHttp using your Vinkius HTTP URL. Pass this instance in the mcpservers list when instantiating your agent, and the tools will auto-discover instantly.

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Connect Focus Admin MCP to OpenAI Agents SDK

Create your Vinkius account to connect Focus Admin to OpenAI Agents SDK 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 Focus Admin with OpenAI Agents SDK

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Validate Correction Letters Before Sending

Hooking up `send_cc_e` and `cancel_cc_e` to your OpenAI Agents SDK workflow means your agent can correct issued invoices on the fly. Instead of letting an agent run wild, you can use the SDK's built-in guardrails to verify the correction text matches legal requirements before hitting the Focus API. If the agent messes up or tries to cancel a non-existent letter, the agent system halts the execution. You get full tracing on your OpenAI dashboard, so you can see exactly why a correction failed without digging through raw HTTP logs.

Automate XML Downloads via Specialized Agents

Set up a dedicated billing agent using OpenAI Agents SDK to pull down xml files. The agent runs `download_nfe_xml` and `download_event_xml` in the background, saving your team from manual portal exports. You can configure a specialized handoff where a retrieval agent fetches the data and hands it to a processing agent. By connecting this MCP Server to your setup, you keep your token usage low and ensure each agent does one job well.

Run NF-e Audits with Focus Admin MCP Server

Use `list_nfe_by_period` alongside `list_nfse_emitted` to build a compliance checker that runs on your own schedule. Your OpenAI Agents SDK setup can run these calls asynchronously, caching the tool list with `cacheToolsList=True` to keep execution times fast. The agent scans the returned lists, spots gaps in numbering, and triggers `inutilize_numbering` if it finds unused slots that need to be retired. It is a complete, hands-off audit loop run entirely by your autonomous agent.

Setup guide

Set up Focus Admin MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Focus Admin tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Focus Admin tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Focus Admin tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Focus Admin Agent",
            instructions="You have access to Focus Admin tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Focus Admin MCP in OpenAI Agents SDK

Initialize `MCPServerStreamableHttp` using your Vinkius HTTP URL. Pass this instance in the `mcp_servers` list when instantiating your agent, and the tools will auto-discover instantly.

Yes, you can control tool access by defining strict system instructions or using specialized agent handoffs in your OpenAI Agents SDK setup. This prevents a general agent from running `inutilize_numbering` when it should only be calling `download_nfe_danfe`.

The SDK handles async execution, but you should configure retry logic in your run loop to manage Focus NFe API rate limits. This is crucial when your OpenAI Agents SDK agent runs heavy loops using `list_nfse_received` or `distribute_dfe`.

This MCP Server passes back the error to your agent in real time. The agent can then read the error message, realize the mistake, and halt or try a different correction.

Your XMLs, NF-e, and NFS-e payloads pass through a zero-trust V8 sandbox on Vinkius. Your OpenAI client receives the data directly without any persistent logging of your raw invoice content on our servers.

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