Bring Anp
to Pydantic AI
Learn how to connect ANP (Revendedores de Combustíveis) to Pydantic AI and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ANP (Revendedores de Combustíveis) MCP Server?
Connect to the ANP (Agência Nacional do Petróleo, Gás Natural e Biocombustíveis) database to retrieve real-time information about authorized resellers across Brazil through natural conversation.
What you can do
- Automotive Fuel Resellers — Search for gas stations using filters like state (UF), municipality, or specific CNPJ via the
list_combustivel_resellerstool. - LPG (Cooking Gas) Resellers — Locate authorized GLP distributors and resellers nationwide using the
list_glp_resellerstool. - Public Data Verification — Verify the registration and status of fuel providers directly from the official regulatory source.
- Geographic Analysis — List all resellers within a specific city or state to understand regional coverage and availability.
How it works
- Subscribe to this server
- Enter your ANP API Access Key (if required)
- Start querying Brazilian energy and fuel data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Market Analysts — track the distribution of fuel resellers in different regions for competitive analysis
- Logistics & Fleet Managers — identify authorized refueling points and verify reseller credentials
- Compliance Officers — verify the legal status of resellers against official government records
Built-in capabilities (2)
Can be filtered by CNPJ, state (UF), and municipality. List automotive fuel resellers
Can be filtered by CNPJ, state (UF), and municipality. List LPG (cooking gas) resellers
Why Pydantic AI?
Pydantic AI validates every ANP (Revendedores de Combustíveis) tool response against typed schemas, catching data inconsistencies at build time. Connect 2 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ANP (Revendedores de Combustíveis) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your ANP (Revendedores de Combustíveis) connection logic from agent behavior for testable, maintainable code
ANP (Revendedores de Combustíveis) in Pydantic AI
ANP (Revendedores de Combustíveis) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANP (Revendedores de Combustíveis) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ANP (Revendedores de Combustíveis) in Pydantic AI
The ANP (Revendedores de Combustíveis) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 2 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
ANP (Revendedores de Combustíveis) for Pydantic AI
Every tool call from Pydantic AI to the ANP (Revendedores de Combustíveis) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for a specific gas station using its CNPJ?
Yes! Use the list_combustivel_resellers tool and provide the cnpj parameter. The agent will return the registration details and authorization status for that specific tax ID.
How do I list all cooking gas resellers in a specific city?
Use the list_glp_resellers tool and specify the municipio and uf (state abbreviation). This will return a list of all authorized LPG providers in that location.
Does the tool support pagination for large result sets?
Yes. Both list_combustivel_resellers and list_glp_resellers include a numeropagina parameter, allowing you to navigate through multiple pages of data.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your ANP (Revendedores de Combustíveis) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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