Bring Electricity
to Pydantic AI
Learn how to connect ANEEL Dados Abertos to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every ANEEL Dados Abertos tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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.
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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 ANEEL Dados Abertos 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 ANEEL Dados Abertos connection logic from agent behavior for testable, maintainable code
ANEEL Dados Abertos in Pydantic AI
ANEEL Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANEEL Dados Abertos 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 ANEEL Dados Abertos in Pydantic AI
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 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
ANEEL Dados Abertos for Pydantic AI
Every tool call from Pydantic AI 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 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 ANEEL Dados Abertos 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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