Pydantic AISDK

Aragón Open Data MCP Server

Bring Open Data
to Pydantic AI

Name: Aragón Open Data MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Aragón Open Data to Pydantic AI and start using 15 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Count DatasetsGet DatasetGet OrganizationGet TagList DatasetsList GroupsList OrganizationsList TagsList ViewsMost Downloaded DatasetsNewest DatasetsPreview DataQuery SparqlSearch DatasetsShow Columns

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Aragón Open Data MCP Server?

Connect to the Aragón Open Data portal and unlock a wealth of public information from the Government of Aragón. This MCP server allows your AI agent to browse, search, and analyze regional datasets, statistical views, and organizational metadata through natural language.

What you can do

Data Exploration — List all available views and datasets from the GA_OD_Core and CKAN catalogs.
Deep Data Preview — Fetch and preview actual records from specific views or resources with support for filtering and pagination.
Schema Inspection — Understand the structure of data by retrieving column names and data types for any specific view.
Advanced Search — Use Solr-powered queries to find specific datasets, tags, or organizations within the public catalog.
Publisher Insights — Retrieve detailed information about the organizations and themes (groups) that publish data in the region.

How it works

Subscribe to this server
Enter your Aragón Open Data API Key (optional for public endpoints)
Start querying public records from Claude, Cursor, or any MCP-compatible client

Who is this for?

Data Analysts — quickly find and preview regional statistics without manual CSV downloads
Developers — inspect API schemas and data structures directly from the code editor
Researchers & Journalists — search for public records and government transparency data through conversation

Built-in capabilities (15)

count_datasets

Get total dataset count

get_dataset

Get dataset details

get_organization

Get publisher/organization details

get_tag

Get tag details

list_datasets

List all datasets (packages)

list_groups

List all themes/groups

list_organizations

List all publishers/organizations

list_tags

List all tags

list_views

List all available views in Aragón Open Data

most_downloaded_datasets

Get most downloaded datasets

newest_datasets

Get newest datasets

preview_data

By default, it returns the first 1000 records. Preview data from a view or resource

query_sparql

Supports ontologies like EI2A, Aragopedia, ELI, and DataCube. Execute a SPARQL query

search_datasets

Search for datasets

show_columns

Get information about columns for a specific view

Why Pydantic AI?

Pydantic AI validates every Aragón Open Data tool response against typed schemas, catching data inconsistencies at build time. Connect 15 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 Aragón 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 Aragón Open Data connection logic from agent behavior for testable, maintainable code

See it in action

Aragón Open Data in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Aragón Open Data and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Aragón 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Aragón Open Data in Pydantic AI

The Aragón 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 15 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.

Unlock for AI Agents View full Aragón Open Data details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Aragón Open Data for Pydantic AI

Every tool call from Pydantic AI to the Aragón Open Data MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I filter the data preview to see only specific records?

Yes! Use the preview_data tool and provide a JSON string in the filters parameter (e.g., {"entidad": "ARANDA"}). This allows you to restrict the results to exactly what you need.

How do I find the structure and data types of a specific view?

You can use the show_columns tool by providing the view_id. It will return a detailed list of all columns, their descriptions, and their technical data types.

Is it possible to search for datasets by keywords or topics?

Absolutely. Use the search_datasets tool with the q parameter to perform a Solr search across the entire CKAN catalog for relevant datasets.

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 Aragón Open Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.