ANEEL Dados Abertos MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Get Package, Get Resource, List Packages, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ANEEL Dados Abertos through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The ANEEL Dados Abertos MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ANEEL Dados Abertos "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in ANEEL Dados Abertos?"
)
print(result.data)
asyncio.run(main())
* 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
About 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.
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.
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.
The ANEEL Dados Abertos MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 ANEEL Dados Abertos tools available for Pydantic AI
When Pydantic AI connects to ANEEL Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning electricity, brazil, energy-data, 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.
Get package on ANEEL Dados Abertos
Get full metadata for a specific ANEEL dataset
Get resource on ANEEL Dados Abertos
g., CSV, PDF file) within a dataset, including its download URL and format. Get metadata for a specific ANEEL resource
List packages on ANEEL Dados Abertos
List all dataset names in the ANEEL portal
Search datastore on ANEEL Dados Abertos
Search for records within an ANEEL resource
Connect ANEEL Dados Abertos to Pydantic AI via MCP
Follow these steps to wire ANEEL Dados Abertos into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the ANEEL Dados Abertos MCP Server
Pydantic AI provides unique advantages when paired with ANEEL Dados Abertos through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ANEEL Dados Abertos integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ANEEL Dados Abertos connection logic from agent behavior for testable, maintainable code
ANEEL Dados Abertos + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ANEEL Dados Abertos MCP Server delivers measurable value.
Type-safe data pipelines: query ANEEL Dados Abertos with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ANEEL Dados Abertos tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ANEEL Dados Abertos and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ANEEL Dados Abertos responses and write comprehensive agent tests
Example Prompts for ANEEL Dados Abertos in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ANEEL Dados Abertos immediately.
"List all available datasets in the ANEEL portal."
"Show me the resources available for the 'tarifas-distribuidoras' package."
"Search for records related to 'ENEL' in the resource with ID 'd345-f678'."
Troubleshooting ANEEL Dados Abertos MCP Server with Pydantic AI
Common issues when connecting ANEEL Dados Abertos to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiANEEL Dados Abertos + Pydantic AI FAQ
Common questions about integrating ANEEL Dados Abertos MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Explore More MCP Servers
View all →
KnoCommerce
10 toolsAnalyze post-purchase surveys — list responses, audit customer feedback, and track attribution channels.

MeiQia
10 toolsLeading live chat and customer CRM platform — manage conversations, messages, and customers via AI.

MemeGen API
5 toolsGenerate meme images — audit templates and fonts via AI.

Nextcloud
16 toolsManage your Nextcloud instance — handle files, shares, user statuses, and server capabilities directly from your AI agent.
