Junta de Andalucía MCP for AI. Query public sector records from Andalusia.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Junta de Andalucía (Portal) MCP connects your AI client to the official open data records of the Andalusian government. Use it to query, analyze, and retrieve public datasets directly through natural language conversation.
Find everything from socio-economic statistics to environmental reports without manual searching.
What your AI can do
Search datastore
Performs deep, full-text searches across the content housed within specific data resources.
List groups
Lists every category or group that publishes data in the portal.
List organizations
Retrieves a full list of all official publishing organizations within the region.
Lists all published dataset packages in the portal so you can see what's available.
Retrieves detailed information—like format and update frequency—for one specific dataset package.
Provides technical specifications and direct access links for a single file within a dataset.
Lists every publishing organization or group, helping you understand the data's source hierarchy.
Runs a full-text search query across the content of an individual dataset resource.
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Junta de Andalucía (Portal) MCP: 6 Tools Available
These tools let your agent systematically explore the entire open data structure—from listing groups and organizations to deep searching within individual files.
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 Junta de Andalucía (Portal) on VinkiusSearch Datastore
Performs deep, full-text searches across the content housed within specific data resources.
List Groups
Lists every category or group that publishes data in the portal.
List Organizations
Retrieves a full list of all official publishing organizations within the region.
Get Package
Fetches the detailed information for a specific dataset package ID.
List Packages
Returns a simple list of all available dataset names in the portal.
Get Resource
Gets the metadata, including links and specs, for one particular file within a dataset.
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Make Your AI Do More
Start with Junta de Andalucía (Portal), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
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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 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manual research through public portals is a click-heavy pain.
Today, getting comprehensive state data means endless clicking. You start by navigating the main catalog page, finding the right dataset package, then drilling down into metadata to see if the format works for you. If it does, you copy a resource ID and then manually try searching or downloading, repeating this process dozens of times just to get a full picture.
With this MCP, you talk to your agent. You tell it what data you need—for example, 'I need all environmental datasets published by the Ministry of Environment.' It executes `list_packages` and checks the metadata with `get_package`. You get the actionable IDs and context back without opening a single browser tab.
The Junta de Andalucía (Portal) MCP Gives You Direct Data Access
You no longer need to manually track down which organization published which data set. Running `list_organizations` gives you the full roster, and listing groups with `list_groups` provides the taxonomy structure needed for proper categorization.
It’s a shift from browsing an interface to querying a database. You get structured metadata and search results instantly. Period.
What your AI can actually do with this
Need to pull specific data from a major governmental source? This MCP gives your agent access to the Junta de Andalucía Open Data Portal. You can ask questions in plain English—like, 'Show me all datasets related to water quality.' Your agent handles the complex querying needed to find and analyze public records.
It lets you map out the entire structure of their open data. Want to know which groups published a certain dataset? Or which specific organizations manage resource IDs? You can get that context immediately. The platform sits within Vinkius, giving your AI client access to thousands of other APIs, making this one part of a much bigger research toolset.
Whether you're tracking environmental trends or compiling public finance reports, the goal is simple: turn complex data portals into conversational queries. You get metadata, resource details, and structured answers without ever navigating an interface.
019e38b2-cd43-7161-8b0f-8cae9a6ce379 Here's how it actually works
The bottom line is you talk to your agent, and the MCP translates that conversation into precise data queries against the Junta de Andalucía portal.
Subscribe to this MCP. If you need higher call limits, enter your Portal API Key.
Connect your preferred AI client (Claude, Cursor, etc.) through the Vinkius Marketplace.
Ask your agent a question like, 'List all datasets related to education' and it executes the necessary lookups.
Who is this actually for?
Anyone who needs structured public information from major government sources. Think of researchers drowning in PDFs or developers building apps that need verified official statistics.
Needs to find specific datasets and use the get_package tool to check metadata before writing a single query.
Uses the MCP to systematically map out all publishing groups using list_groups, ensuring they haven't missed relevant data silos.
Retrieves resource IDs and metadata via get_resource so they can integrate official public records into an application without manual API browsing.
What Changes When You Connect
Pinpoint exact datasets using list_packages. Instead of scrolling through hundreds of results, you get a clean list to narrow your focus immediately.
Check data reliability by running get_package or get_resource. You see the update frequency and file format before committing to analysis.
Map out who owns what. Use list_organizations to build an organizational chart of data ownership, which is critical for compliance checks.
Deep content searches are easy. The search_datastore tool lets you query specific records using full-text search, bypassing the need for complex database filters.
Understand the structure at a high level. Running list_groups shows you all the available data categories, giving context to your research scope.
See it in action
Checking historical climate trends
A researcher needs atmospheric data from five different years. Instead of finding five separate URLs, they ask their agent to list_packages for 'environmental' data, then use get_package repeatedly until all required datasets are found and analyzed.
Verifying department ownership
A policy analyst needs to know which government body manages the latest health statistics. They run list_groups to understand the data taxonomy, then use list_organizations to pinpoint the exact responsible entity.
Finding specific keywords in old reports
A journalist is investigating 'tourism' impact from 2015. They must first find the resource ID and then run search_datastore on that ID, feeding the keyword to get precise answers.
Building a data inventory for an app
A developer needs stable public endpoints. They use get_resource multiple times to collect metadata and direct access links for key files, compiling them into a structured list for their application.
The honest tradeoffs
Trying to search everything at once
Asking the agent vaguely: 'Tell me about all public data.' The response is too broad, giving 20 irrelevant datasets and making it hard to focus.
Start by narrowing your scope. Use list_groups first. Then, pick a group and use get_package on that specific dataset for targeted results.
Assuming the file contains everything
Getting an ID from get_resource and assuming it has all the data you need. The resource might just be a link or a small summary.
Always cross-reference the metadata provided by get_resource. If the content is complex, run search_datastore to confirm if the specific keyword exists within that file.
Manual data gathering
Opening the website, clicking through dozens of folders, and copying 50 different resource IDs into a spreadsheet.
Use list_packages to get the names quickly. Then use your agent to systematically call get_package for every name you need.
When It Fits, When It Doesn't
Use this MCP if your primary goal is accessing, mapping, or searching structured public records from the Junta de Andalucía. You need to know what data exists (list_packages), who owns it (list_organizations), and where a specific file lives (get_resource).
Don't use this if you simply need general web scraping, or if your data source is internal corporate documentation. For unstructured text extraction from arbitrary PDFs, look at document processing tools instead. This MCP is highly specialized for the official open data portal; don't expect it to access unrelated government services.
Questions you might have
How do I find all available datasets using list_packages? +
The list_packages tool returns a simple, complete list of every dataset package name in the portal. This is your starting point when you don't know exactly what data exists.
Can I search text inside a resource using search_datastore? +
Yes. You use search_datastore by providing the specific resource ID and the keyword. It then runs a full-text query to find matching entries within that file.
What is the difference between get_package and get_resource? +
The difference is scope. get_package provides details about the whole dataset container (the package). get_resource drills down to a single, specific file within that package.
Should I use list_organizations or list_groups? +
Use list_organizations when you need the legal entity responsible for publication. Use list_groups if you want to see how the data is categorized by topic within the portal.
If I use list_packages or get_package, do I need an API key to prevent rate limits? +
Yes, entering your Portal API Key increases the rate limit significantly. This allows you to run more frequent and complex queries against the Andalusian data without hitting usage caps.
What specific technical details does get_resource provide about a file? +
It gives you deep metadata, including direct access links and precise technical specifications for that resource. You'll find its format type (like CSV or JSON) and how frequently it updates.
After using list_organizations, how do I map those organizations to their actual datasets? +
You must use the organization ID returned by list_organizations. Then, you can cross-reference that ID with list_packages or get_package to find their published data packages.
When using search_datastore, what are my limitations on query parameters? +
The tool supports full-text searching and filtering. Be sure to include specific filters like dates or unique identifiers in your request for the most accurate results.
How can I search for specific information inside a dataset's file? +
Use the search_datastore tool with the specific resource_id. You can provide a query string q to filter the rows and find exactly what you need within the data table.
Can I see which government department published a specific dataset? +
Yes. You can use list_organizations to see all publishers or use get_package with the dataset ID to see the specific organization responsible for that data.
Is an API key mandatory to use this server? +
No, the API key is optional. Most data on the Junta de Andalucía portal is public. However, providing a key via the JUNTA_API_KEY credential may help avoid rate limits during intensive usage.
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