Bring Open Data
to Pydantic AI
Learn how to connect Maranhão Open Data to Pydantic AI and start using 6 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 Maranhão Open Data MCP Server?
Connect to the Maranhão Open Data Portal to explore government transparency data directly through your AI agent. This server interfaces with the state's CKAN-based infrastructure to provide real-time access to public information.
What you can do
- Dataset Discovery — List all available packages or search for specific topics like education, health, or finance using
list_packagesandsearch_packages. - Metadata Inspection — Retrieve detailed metadata for datasets and specific resources (CSV, PDF, API endpoints) with
get_packageandget_resource. - Data Exploration — Search within specific resource rows using
search_datastoreor execute complex SQL queries against the DataStore for deep analysis withsearch_datastore_sql.
How it works
- Subscribe to this server
- (Optional) Enter your Maranhão API Key for higher rate limits
- Start querying public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers & Journalists — quickly find and analyze government spending, social indicators, and public contracts.
- Developers — integrate public data into applications without manually browsing the portal.
- Data Analysts — run SQL queries directly on government datasets to generate insights and reports.
Built-in capabilities (6)
Retrieve dataset metadata
g., a CSV file or API endpoint within a dataset). Retrieve resource metadata
List all datasets (packages) on the portal
Search within a resource in the DataStore
Execute SQL query against the DataStore
Search for datasets
Why Pydantic AI?
Pydantic AI validates every Maranhão Open Data tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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.
- —
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 Maranhão Open Data integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your Maranhão Open Data connection logic from agent behavior for testable, maintainable code
Maranhão Open Data in Pydantic AI
Maranhão Open Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Maranhão Open Data 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 Maranhão Open Data in Pydantic AI
The Maranhão Open Data 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 6 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
Maranhão Open Data for Pydantic AI
Every tool call from Pydantic AI to the Maranhão Open Data MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find datasets about a specific topic like 'education'?
You can use the search_packages tool with a query string. For example, searching for 'educação' will return all related datasets available on the portal.
Can I query the actual content of a CSV file without downloading it?
Yes! If the resource is in the DataStore, use search_datastore with the Resource ID to search through the rows directly.
Is it possible to perform complex filtering using SQL?
Absolutely. Use the search_datastore_sql tool to execute standard SQL queries against any resource stored in the portal's DataStore.
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 Maranhão Open Data 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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