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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Aragón Open Data through native MCP adapters. Connect 15 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Aragón Open Data MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Aragón Open Data queries for multi-turn workflows
Aragón Open Data in LangChain
Aragón Open Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Aragón Open Data to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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