Bring Open Data
to Pydantic AI
Learn how to connect Acre Dados Abertos to Pydantic AI and start using 8 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 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.
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.
How it works
- Subscribe to this server
- (Optional) Enter your Acre API Key if you have one for higher rate limits
- Start querying public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and sample public datasets for research and reporting
- Journalists — verify government figures and find public records through natural language
- Developers — integrate real-time public data into applications using the Datastore search capabilities
Built-in capabilities (8)
Get details for a specific group
Get detailed metadata for a specific dataset (package)
Get metadata for a specific resource
List all thematic groups
List all organizations
List all dataset (package) names
Search and filter records within a tabular resource (Datastore)
Search for datasets (packages)
Why Pydantic AI?
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.
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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 Acre 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 Acre Dados Abertos connection logic from agent behavior for testable, maintainable code
Acre Dados Abertos in Pydantic AI
Acre Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Acre 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 Acre Dados Abertos in Pydantic AI
The Acre 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 8 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
Acre Dados Abertos for Pydantic AI
Every tool call from Pydantic AI to the Acre 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 search for datasets related to a specific topic like 'health'?
Use the search_packages tool with the query 'saude'. The agent will return a list of datasets matching that theme from the Acre portal.
Can I filter data inside a CSV file without downloading it?
Yes! If the resource is in the Datastore, use the search_datastore tool with the Resource ID. You can apply filters like {"municipio": "Rio Branco"} to get specific rows.
How do I find which government departments are publishing data?
Use the list_organizations tool to see all contributing entities, or list_groups to see thematic categorizations like 'Environment' or 'Economy'.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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