Bring Electricity
to CrewAI
Learn how to connect ANEEL Dados Abertos to CrewAI and start using 4 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 ANEEL Dados Abertos MCP Server?
Connect your AI agent to the ANEEL Open Data Portal (Agência Nacional de Energia Elétrica) and explore comprehensive information about the Brazilian electricity market through natural conversation.
What you can do
- Dataset Discovery — List all available packages (datasets) in the portal to understand what information is public.
- Metadata Inspection — Fetch detailed metadata for specific datasets, including tags, organizations, and available resources.
- Resource Details — Get specific information about files (CSV, PDF, XLS), including download URLs and formats.
- Deep Data Search — Query and filter records directly within CSV/XLS resources that are integrated into the ANEEL DataStore API.
How it works
- Subscribe to this server
- (Optional) Enter your ANEEL API Key if you have specific access requirements
- Start querying energy data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and filter energy tariffs, generation data, and distribution metrics.
- Energy Consultants — retrieve regulatory data and infrastructure information without manual portal navigation.
- Developers — integrate public energy data into applications using structured queries via the AI agent.
Built-in capabilities (4)
Get full metadata for a specific ANEEL dataset
g., CSV, PDF file) within a dataset, including its download URL and format. Get metadata for a specific ANEEL resource
List all dataset names in the ANEEL portal
Search for records within an ANEEL resource
Why CrewAI?
When paired with CrewAI, ANEEL Dados Abertos becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ANEEL Dados Abertos 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
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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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ANEEL Dados Abertos in CrewAI
ANEEL Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANEEL Dados Abertos 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 ANEEL Dados Abertos in CrewAI
The ANEEL Dados Abertos 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 4 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
ANEEL Dados Abertos for CrewAI
Every tool call from CrewAI to the ANEEL Dados Abertos MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find the specific ID for a dataset like 'Tarifas das Distribuidoras'?
You can use the list_packages tool to see all available names. Once you identify the name, use get_package with that ID to see all its internal resources and metadata.
Can I search for a specific company name inside a CSV resource?
Yes! If the resource is part of the DataStore, use the search_datastore tool. You can provide the resource_id and use the q parameter for a full-text search or filters for specific field matching.
What information is included in the resource metadata?
The get_resource tool returns the file format (CSV, PDF, etc.), the creation date, the last modification date, and the direct download URL for the data file.
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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