Compatible with every major AI agent and IDE
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 Google ADK?
Google ADK natively supports ANEEL Dados Abertos as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ANEEL Dados Abertos
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine ANEEL Dados Abertos tools with BigQuery, Vertex AI, and Cloud Functions
ANEEL Dados Abertos in Google ADK
ANEEL Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANEEL Dados Abertos to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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