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Aragón Open Data MCP Server for LangChainGive LangChain instant access to 15 tools to Count Datasets, Get Dataset, Get Organization, and more

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LangChain is the leading Python framework for composable LLM applications. Connect Aragón Open Data through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Aragón Open Data MCP Server for LangChain is a standout in the Knowledge Management category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "aragon-open-data": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Aragón Open Data, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Aragón Open Data
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

About 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.

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.

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.

The Aragón Open Data MCP Server exposes 15 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 Aragón Open Data tools available for LangChain

When LangChain connects to Aragón Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, aragon, ckan, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

count

Count datasets on Aragón Open Data

Get total dataset count

get

Get dataset on Aragón Open Data

Get dataset details

get

Get organization on Aragón Open Data

Get publisher/organization details

get

Get tag on Aragón Open Data

Get tag details

list

List datasets on Aragón Open Data

List all datasets (packages)

list

List groups on Aragón Open Data

List all themes/groups

list

List organizations on Aragón Open Data

List all publishers/organizations

list

List tags on Aragón Open Data

List all tags

list

List views on Aragón Open Data

List all available views in Aragón Open Data

most

Most downloaded datasets on Aragón Open Data

Get most downloaded datasets

newest

Newest datasets on Aragón Open Data

Get newest datasets

preview

Preview data on Aragón Open Data

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

query

Query sparql on Aragón Open Data

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

search

Search datasets on Aragón Open Data

Search for datasets

show

Show columns on Aragón Open Data

Get information about columns for a specific view

Connect Aragón Open Data to LangChain via MCP

Follow these steps to wire Aragón Open Data into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 15 tools from Aragón Open Data via MCP

Why Use LangChain with the Aragón Open Data MCP Server

LangChain provides unique advantages when paired with Aragón Open Data through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Aragón Open Data MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Aragón Open Data queries for multi-turn workflows

Aragón Open Data + LangChain Use Cases

Practical scenarios where LangChain combined with the Aragón Open Data MCP Server delivers measurable value.

01

RAG with live data: combine Aragón Open Data tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Aragón Open Data, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Aragón Open Data tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Aragón Open Data tool call, measure latency, and optimize your agent's performance

Example Prompts for Aragón Open Data in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Aragón Open Data immediately.

01

"List all available data views in Aragón Open Data."

02

"Search for datasets related to 'turismo' in the catalog."

03

"Show me the first 5 records from the view with ID '702'."

Troubleshooting Aragón Open Data MCP Server with LangChain

Common issues when connecting Aragón Open Data to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Aragón Open Data + LangChain FAQ

Common questions about integrating Aragón Open Data MCP Server with LangChain.

01

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.
02

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.
03

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.

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