Acre Dados Abertos MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Get Group, Get Package, Get Resource, and more

Name: Acre Dados Abertos
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Acre Dados Abertos through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Acre Dados Abertos MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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 Acre Dados Abertos "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Acre Dados Abertos?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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* 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 Acre Dados Abertos MCP Server

Connect to the Acre Dados Abertos portal to query public information from the State of Acre. This server allows AI agents to browse, search, and analyze government datasets, organizational structures, and thematic groups.

Pydantic AI validates every Acre Dados Abertos tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 and search for specific packages (datasets) like municipal GDP, environmental data, or demographic statistics.
Metadata Inspection — Fetch detailed metadata for packages and individual resources (files) to understand data provenance and formats.
Thematic Exploration — Browse data organized by thematic groups (e.g., economy, health, education) or by the specific government organizations that publish them.
Deep Data Querying — Search and filter records directly within tabular resources (Datastore) like CSV files without downloading the entire dataset.

The Acre Dados Abertos MCP Server exposes 8 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 8 Acre Dados Abertos tools available for Pydantic AI

When Pydantic AI connects to Acre Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, public-sector, transparency, 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

Get group on Acre Dados Abertos

Get details for a specific group

get

Get package on Acre Dados Abertos

Get detailed metadata for a specific dataset (package)

get

Get resource on Acre Dados Abertos

Get metadata for a specific resource

list

List groups on Acre Dados Abertos

List all thematic groups

list

List organizations on Acre Dados Abertos

List all organizations

list

List packages on Acre Dados Abertos

List all dataset (package) names

Search datastore on Acre Dados Abertos

Search and filter records within a tabular resource (Datastore)

Search packages on Acre Dados Abertos

Search for datasets (packages)

Connect Acre Dados Abertos to Pydantic AI via MCP

Follow these steps to wire Acre Dados Abertos into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Acre Dados Abertos with type-safe schemas

Why Use Pydantic AI with the Acre Dados Abertos MCP Server

Pydantic AI provides unique advantages when paired with Acre 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 Acre 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 Acre Dados Abertos connection logic from agent behavior for testable, maintainable code

Acre Dados Abertos + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Acre Dados Abertos MCP Server delivers measurable value.

Type-safe data pipelines: query Acre Dados Abertos with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Acre 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 Acre Dados Abertos and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Acre Dados Abertos responses and write comprehensive agent tests

Example Prompts for Acre Dados Abertos in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Acre Dados Abertos immediately.

"Search for datasets related to 'economia' in Acre."

"List all thematic groups available in the Acre Open Data portal."

"Query the datastore for resource ID 8f3e... filtering by municipio 'Rio Branco'."

Troubleshooting Acre Dados Abertos MCP Server with Pydantic AI

Common issues when connecting Acre Dados Abertos to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Acre Dados Abertos + Pydantic AI FAQ

Common questions about integrating Acre Dados Abertos MCP Server with Pydantic AI.

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 Acre Dados Abertos MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.