Compatible with every major AI agent and IDE
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)
Get total dataset count
Get dataset details
Get publisher/organization details
Get tag details
List all datasets (packages)
List all themes/groups
List all publishers/organizations
List all tags
List all available views in Aragón Open Data
Get most downloaded datasets
Get newest datasets
By default, it returns the first 1000 records. Preview data from a view or resource
Supports ontologies like EI2A, Aragopedia, ELI, and DataCube. Execute a SPARQL query
Search for datasets
Get information about columns for a specific view
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Aragón Open Data tool infrastructure. Connect 15 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Aragón Open Data without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Aragón Open Data tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Aragón Open Data in Mastra AI
Aragón Open Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Aragón Open Data to Mastra 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 Aragón Open Data in Mastra 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 Mastra 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
Aragón Open Data for Mastra AI
Every tool call from Mastra 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.
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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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