Compatible with every major AI agent and IDE
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 CrewAI?
When paired with CrewAI, ANP (Revendedores de Combustíveis) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ANP (Revendedores de Combustíveis) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ANP (Revendedores de Combustíveis) in CrewAI
ANP (Revendedores de Combustíveis) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANP (Revendedores de Combustíveis) to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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