How to Use the ANP (Revendedores de Combustíveis) MCP in Pydantic AI

Query validated Brazilian fuel reseller data with zero silent failures using Pydantic AI.

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Connect ANP (Revendedores de Combustíveis) MCP to Pydantic AI

Create your Vinkius account to connect ANP (Revendedores de Combustíveis) to Pydantic AI 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 Pydantic AI

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Type-safe ANP queries with Pydantic AI

The `list_combustivel_resellers` tool returns structured Brazilian automotive fuel reseller data that is strictly validated at runtime. This tool ensures that every CNPJ, state code, and municipality name matches your expected schema before your agent can use it. If the underlying ANP registry returns unexpected formatting, Pydantic AI raises a validation error immediately. This prevents your agent from processing corrupted data or hallucinating fuel station locations.

Validate cooking gas distributor records instantly

Pulling data via `list_glp_resellers` brings official cooking gas reseller data directly into your type-safe agent workflows. Every record is checked against strict Pydantic schemas, ensuring you get clean, predictable data structures for LPG analysis. You configure this using the unified MCPToolset helper. This setup supports both streamable HTTP and SSE transports, keeping your type-safe pipeline highly responsive.

Model-agnostic validation for Brazilian energy data

Both `list_combustivel_resellers` and `list_glp_resellers` work seamlessly whether you use OpenAI, Anthropic, or local models. The validation layer sits in your Python runtime, protecting your application from erratic LLM behavior. By relying on this MCP Server, you decouple your data fetching from the LLM provider. Your agent gets a reliable stream of Brazilian fuel data, fully structured and ready for production.

Setup guide

Set up ANP (Revendedores de Combustíveis) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "anp-revendedores-de-combustiveis-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to ANP (Revendedores de Combustíveis) tools.",
)

result = await agent.run("List recent ANP (Revendedores de Combustíveis) transactions")
print(result.output)

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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 Pydantic AI

The framework intercepts the tool output and validates the fields against strict Pydantic models. Any deviation in the reseller data schema triggers an instant runtime error.

Yes. Because the framework is model-agnostic, you can route the results of `list_combustivel_resellers` to local models or commercial LLMs.

Use the unified MCPToolset class pointing to your Vinkius HTTP endpoint. Pass this toolset instance inside the agent's toolsets list.

Pydantic AI will catch the structural change instantly and fail loudly. This protects your downstream database from swallowing malformed or corrupted fuel records.

All API traffic passes through Vinkius's secure MCP gateway. The raw ANP reseller records are processed ephemerally, meaning your queries never persist on the hosting infrastructure.

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