How to Use the ANP (Revendedores de Combustíveis) MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK automatically filter ANP (Revendedores de Combustíveis) data by state?

Yes. The model uses the parameter schemas in listcombustivelresellers to apply UF filters like SP or RJ directly during runtime execution.

Q: Can I route queries between gas stations and LPG providers using different specialized agents?

Yes. You can assign listcombustivelresellers to a fuel-tracking agent and listglpresellers to an LPG-tracking agent, letting them hand off tasks dynamically.

Query official Brazilian gas and LPG station data directly from your OpenAI Agents SDK pipelines with zero-config tool discovery.

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Connect ANP (Revendedores de Combustíveis) MCP to OpenAI Agents SDK

Create your Vinkius account to connect ANP (Revendedores de Combustíveis) 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 ANP (Revendedores de Combustíveis) with OpenAI Agents SDK

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Map fuel stations directly inside OpenAI Agents SDK

The `list_combustivel_resellers` tool exposes real-time Brazilian automotive fuel reseller data directly to your agent. Your agent queries this endpoint using specific state codes, municipalities, or exact CNPJ numbers to verify active gas stations without manual API glue code. Because this runs as an MCP Server, the OpenAI Agents SDK auto-discovers the schema. You pass the server to your agent constructor, and the model instantly knows how to structure Brazilian geography filters to pull clean reseller lists.

Audit cooking gas providers with strict guardrails

Querying `list_glp_resellers` lets your system inspect LPG distributors across any Brazilian municipality. This tool returns structured registry details, helping you verify compliance or map distribution networks using official ANP data. When building with this SDK, you can set up guardrails to validate the state and CNPJ parameters before execution. This prevents the agent from sending malformed queries to the underlying ANP registry.

Production-grade tracing for Brazilian energy data

Running `list_combustivel_resellers` and `list_glp_resellers` inside a live application requires deep visibility. Every single lookup triggers a clean trace in your OpenAI dashboard, letting you monitor latency and payload sizes. By running this MCP Server on Vinkius, you configure the setup using a streamable HTTP connection. Enabling tool list caching helps your production agents avoid redundant network roundtrips when checking fuel stations.

Setup guide

Set up ANP (Revendedores de Combustíveis) 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 ANP (Revendedores de Combustíveis) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ANP (Revendedores de Combustíveis) 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="ANP (Revendedores de Combustíveis) Agent",
            instructions="You have access to ANP (Revendedores de Combustíveis) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ANP (Agência Nacional do Petróleo). 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 ANP (Revendedores de Combustíveis) MCP in OpenAI Agents SDK

Install the SDK and pass the Vinkius HTTP endpoint to your agent constructor. The agent automatically discovers both tools without manual schema declarations.

Yes. The model uses the parameter schemas in `list_combustivel_resellers` to apply UF filters like SP or RJ directly during runtime execution.

You should cache the tool list on startup. Vinkius manages the underlying registry connection, so your agent only needs to handle standard backoff for the HTTP calls.

Yes. You can assign `list_combustivel_resellers` to a fuel-tracking agent and `list_glp_resellers` to an LPG-tracking agent, letting them hand off tasks dynamically.

All ANP queries run in an isolated V8 sandbox on Vinkius. Your endpoint token is never exposed to the LLM, and the data remains encrypted in transit between your agent and the secure runner.

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