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Opendata.cat MCP Server - Servidor MCP (Model Context Protocol) per interactuar amb les dades obertes públiques de diferents organismes Catalunya. Creat per Opendata.cat

16
2
100% credibility
Found Apr 16, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

This open-source server connects AI language models to public open data portals from Catalan governments and organizations, enabling searches, metadata exploration, and real-time queries on topics like reservoirs, trains, budgets, and statistics.

How It Works

1
📰 Discover the tool

You hear about a handy connector that lets your AI helper pull real facts from Catalonia's public records on water, trains, budgets, and more.

2
🔗 Link it to your AI

You simply tell your AI chat app, like Claude, to connect to Catalonia's open data sources with a quick setup instruction.

3
Everything connects smoothly

Your AI is now powered up and ready to fetch fresh info from official Catalan portals whenever you ask.

4
💭 Start asking questions

You chat naturally with your AI: 'How full are Catalonia's reservoirs?' or 'Any train delays today?'

5
📊 See real data appear

Your AI searches the right sources, grabs live numbers on populations, air quality, emergencies, or budgets, and shows clear tables.

🎉 Unlock Catalonia insights

You effortlessly get accurate, up-to-date answers from public records, making it easy to understand local stats and trends.

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AI-Generated Review

What is Opendata.cat-MCP-Server?

This JavaScript MCP (Model Context Protocol) server, creat per opendata.cat, lets LLMs like Claude or ChatGPT interactuar amb les dades obertes públiques de diferents organismes across Catalunya. Run it via npx in Claude Desktop, VS Code, or Cursor, and your AI gains tools to search datasets, fetch metadata, and query real data from 8+ portals—Generalitat Socrata, Barcelona CKAN, FGC GTFS-RT real-time trains, Idescat stats—with filters, pagination, and live results.

Why is it gaining traction?

Direct source queries skip proxies for fresh data on reservoirs, air quality, budgets, and train delays, plus auto-decoded protobufs and GIS centroids keep contexts lean. Pre-configured prompts for analyses like "estat_embassaments" or "trens_fgc_temps_real" deliver instant value. Weekly catalog updates and REST API docs make it reliable for repeated use.

Who should use this?

Catalan data journalists pulling 112 emergencies or municipal endeutament into reports; AI devs enriching local apps amb context from opendata.cat portals; researchers comparing pobladó or transport across ajuntaments via LLM chats.

Verdict

Promising for Catalunya open data workflows despite 16 stars and 1.0% credibility score—excellent docs, npm packaging, and active changelog show maturity beyond the numbers. Try it if you're in the ecosystem; skip for broader needs until adoption grows.

(198 words)

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