Vinkius
Aragón Open Data

Aragón Open Data MCP for AI. Find regional stats from the Government of Aragón.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Aragón Open Data MCP on Cursor AI Code EditorAragón Open Data MCP on Claude Desktop AppAragón Open Data MCP on OpenAI Agents SDKAragón Open Data MCP on Visual Studio CodeAragón Open Data MCP on GitHub Copilot AI AgentAragón Open Data MCP on Google Gemini AIAragón Open Data MCP on Lovable AI DevelopmentAragón Open Data MCP on Mistral AI AgentsAragón Open Data MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

Aragón Open Data connects your AI agent directly to the Government of Aragón's public record portal. You can query massive regional datasets, check API schemas, and search official government metadata using natural language prompts.

What your AI can do

Count datasets

Counts and reports the total number of available datasets in the catalog.

Get organization

Gets detailed information about a particular data publisher or organization.

Get dataset

Retrieves full details about a specific dataset package.

+ 12 more capabilities included
Browse available datasets and views

List every dataset package or data view registered in the public catalog so you know what records exist.

Preview specific record sets

Fetch a sample of actual data records from a chosen view, supporting filters and pagination to narrow down results.

Inspect the data structure

Retrieve column names and data types for any given dataset view, confirming if the data is structured how you expect it.

Search across metadata

Find specific datasets, tags, or publishing organizations using Solr-powered keyword searches.

Execute complex graph queries

Run formal SPARQL queries against established knowledge graphs like Aragopedia for highly structured data relationships.

Included with Plan

Waiting for input…

AI Agent

Aragón Open Data: 15 Tools for Data Exploration

These tools allow you to catalog everything available in the public data portal, from listing datasets and viewing schemas to running advanced SPARQL queries.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Aragón Open Data on Vinkius

Count Datasets

Counts and reports the total number of available datasets in the catalog.

Get Organization

Gets detailed information about a particular data publisher or organization.

Get Dataset

Retrieves full details about a specific dataset package.

Get Tag

Retrieves details for a specified metadata tag.

List Groups

Lists every defined theme or group used to categorize datasets.

List Organizations

Retrieves a list of all organizations that publish data in the region.

List Datasets

Lists all available dataset packages in the public catalog.

List Tags

Lists every defined metadata tag available for filtering datasets.

List Views

Retrieves a list of all distinct data views currently available in the catalog.

Most Downloaded Datasets

Identifies and lists the datasets that have been downloaded most frequently.

Newest Datasets

Fetches a list of recently added or updated datasets.

Preview Data

Samples and shows the first few records from a selected data view or resource.

Query Sparql

Executes advanced SPARQL queries against specific regional ontologies.

Search Datasets

Finds datasets by running a targeted search query across the entire catalog.

Show Columns

Displays column names and data types for a given dataset view.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Aragón Open Data integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Aragón Open Data, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
Aragón Open Data MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aragón Open Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 15 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Finding specific public records feels like a scavenger hunt.

Today, finding regional data means navigating multiple government portals. You start by searching one site for housing statistics, download the CSV; then you have to log into another portal for air quality metrics, and repeat the whole process. This requires constant context switching and tedious copy-pasting between different systems just to get a full picture.

With this MCP, you don't navigate portals. You ask your agent one question—for instance, 'Show me records linking housing data to local demographics.' Your agent handles the search across all available datasets, pulling together the required views and presenting the results directly.

Using Aragón Open Data for Schema Inspection

Manually checking a dataset's schema means clicking through multiple tabs in an API documentation portal. You have to drill down into metadata pages, hoping the column names and data types are exposed clearly enough that you don't waste time on bad assumptions.

Now, just ask your agent to run 'show_columns'. It instantly returns a clean list of every field name and its type for any view. That’s it. You know exactly what fields you have before writing one line of code.

What your AI can actually do with this

You need deep insights from local government data but don't have time for manual CSV downloads or complex database joins. This MCP lets your agent browse the entire Aragón Open Data catalog—regional statistics, environmental readings, population counts—and pull records directly into your workflow. You tell it what you want to know; it handles the search and filtering across dozens of official views.

It’s like having a dedicated data librarian who knows where every single public record lives. Need to understand if a dataset is current? Run a schema check first. Want to find out which organizations publish specific types of records? The agent finds those publisher details automatically. For the most advanced queries, you can run SPARQL against known ontologies like Aragopedia.

Accessing this level of regional data usually requires specialized API calls, but here, all that complexity is handled by connecting through Vinkius.

Built · Hosted · Managed by Vinkius Aragón Open Data MCP - Query Public Government Records
Server ID 019e3866-b311-7122-9d3c-70c3170832fe
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How do I check what data is available using list_views? +

Running 'list_views' provides a comprehensive directory of every specific, prepared dataset view. This tells you the exact ID and name of the record set you need to query or preview.

Can I run complex queries with query_sparql? +

Yes. 'query_sparql' allows you to execute formal graph queries against defined ontologies, enabling you to connect related data points that standard dataset views might separate.

What is the difference between list_datasets and search_datasets? +

Use 'list_datasets' for a comprehensive inventory of all available packages. Use 'search_datasets' when you know keywords (like 'tourism') and want to narrow down which specific datasets match that topic.

Do I need an API key to preview data using preview_data? +

While sometimes an API key is necessary for certain endpoints, the agent handles the authentication flow. If public access is available, it retrieves a sample of records directly through 'preview_data'.

How do I determine the exact structure and column types for a view using show_columns? +

It returns a detailed list of every available field in that specific data view. You'll get the column name, its associated data type (like string or integer), and whether it allows null values.

What information does get_organization provide about data publishers? +

This tool retrieves detailed metadata about the entity publishing the dataset. You can find the organization's full name, a description of its scope, and its role within the region’s open data network.

If I want to know which datasets are most popular, should I use most_downloaded_datasets? +

Yes. This tool aggregates download statistics across all public records, ranking them by usage frequency. It helps you quickly identify the key data sources that other users rely on.

How can list_tags help me narrow down my search for specific topics? +

It lists every predefined tag available in the catalog. Use this list to see all possible themes, allowing you to filter massive amounts of data by subject matter before running a full search.

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.

Built & Managed by Vinkius 30s setup 15 tools

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