ANP (Revendedores de Combustíveis) MCP Server for CrewAIGive CrewAI instant access to 2 tools to List Combustivel Resellers and List Glp Resellers

Name: ANP (Revendedores de Combustíveis)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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Connect your CrewAI agents to ANP (Revendedores de Combustíveis) through Vinkius, pass the Edge URL in the `mcps` parameter and every ANP (Revendedores de Combustíveis) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The ANP (Revendedores de Combustíveis) MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ANP (Revendedores de Combustíveis) Specialist",
    goal="Help users interact with ANP (Revendedores de Combustíveis) effectively",
    backstory=(
        "You are an expert at leveraging ANP (Revendedores de Combustíveis) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ANP (Revendedores de Combustíveis) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 2 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About 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.

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.

What you can do

Automotive Fuel Resellers — Search for gas stations using filters like state (UF), municipality, or specific CNPJ via the list_combustivel_resellers tool.
LPG (Cooking Gas) Resellers — Locate authorized GLP distributors and resellers nationwide using the list_glp_resellers tool.
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.

The ANP (Revendedores de Combustíveis) MCP Server exposes 2 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 ANP (Revendedores de Combustíveis) tools available for CrewAI

When CrewAI connects to ANP (Revendedores de Combustíveis) through Vinkius, your AI agent gets direct access to every tool listed below — spanning anp, brazil, fuel-resellers, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List combustivel resellers on ANP (Revendedores de Combustíveis)

Can be filtered by CNPJ, state (UF), and municipality. List automotive fuel resellers

list

List glp resellers on ANP (Revendedores de Combustíveis)

Can be filtered by CNPJ, state (UF), and municipality. List LPG (cooking gas) resellers

Connect ANP (Revendedores de Combustíveis) to CrewAI via MCP

Follow these steps to wire ANP (Revendedores de Combustíveis) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 2 tools from ANP (Revendedores de Combustíveis)

Why Use CrewAI with the ANP (Revendedores de Combustíveis) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ANP (Revendedores de Combustíveis) through the Model Context Protocol.

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 `mcps` parameter 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) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the ANP (Revendedores de Combustíveis) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries ANP (Revendedores de Combustíveis) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ANP (Revendedores de Combustíveis), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ANP (Revendedores de Combustíveis) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ANP (Revendedores de Combustíveis) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for ANP (Revendedores de Combustíveis) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with ANP (Revendedores de Combustíveis) immediately.

"List all automotive fuel resellers in the city of 'São Paulo', SP."

"Find LPG (cooking gas) resellers in the state of Rio de Janeiro (RJ)."

"Check the status of the reseller with CNPJ 00000000000191."

Troubleshooting ANP (Revendedores de Combustíveis) MCP Server with CrewAI

Common issues when connecting ANP (Revendedores de Combustíveis) to CrewAI through Vinkius, and how to resolve them.

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.

ANP (Revendedores de Combustíveis) + CrewAI FAQ

Common questions about integrating ANP (Revendedores de Combustíveis) MCP Server with CrewAI.

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.