How to Use the NFe.io MCP in OpenAI Agents SDK
Directly execute tax invoice operations in your OpenAI Agents SDK workflows without leaving your Python environment.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NFe.io MCP to OpenAI Agents SDK
Create your Vinkius account to connect NFe.io 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.
Automate invoice lifecycle in OpenAI Agents SDK
Trigger `issue_service_invoice` or `issue_merchandise_invoice` directly from your agent logic. Your agent handles the tax documentation flow without manual intervention. This MCP Server connects your agent's decision-making process to actual NFe.io endpoints. It removes the need for custom API wrappers.
Validate company data for OpenAI Agents SDK
Use `get_company_details` to pull registration status before your agent starts an invoice run. This keeps your agent informed about the issuer's current standing. `list_companies` gives your agent the full context of available issuers. It ensures your logic targets the correct account every time.
Real-time visibility for OpenAI Agents SDK
Use `list_webhooks` to verify that your NFe.io notifications are active. Your agent can monitor the health of your integration status. `get_service_invoice` allows your agent to check the status of specific tax documents. It turns your agent into an active auditor of your financial records.
Set up NFe.io MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all NFe.io tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives NFe.io tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate NFe.io tools and returns structured results. Copy the full example on the right to get started.
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="NFe.io Agent",
instructions="You have access to NFe.io tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NFe.io. 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.
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 NFe.io MCP in OpenAI Agents SDK
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