Bring Electricity
to LlamaIndex
Learn how to connect ANEEL Dados Abertos to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine ANEEL Dados Abertos tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine ANEEL Dados Abertos tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain ANEEL Dados Abertos tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query ANEEL Dados Abertos, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what ANEEL Dados Abertos tools were called, what data was returned, and how it influenced the final answer
ANEEL Dados Abertos in LlamaIndex
ANEEL Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANEEL Dados Abertos to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query ANEEL Dados Abertos tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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