- VALIDATION
- STRUCTURE
- ACCURACY
- HUMAN
Short answer
How do I check Eurostat dataset dimensions with AI?
Your AI calls the metadata tool to pull the specific dimensions and valid code lists for any Eurostat dataset. This prevents query errors by confirming exactly which parameters the dataset accepts. You get a clear map of the data structure to use in your prompts.
The results of the inspection
What you get from this task
Running this task gives your AI the context it needs to talk to Eurostat accurately.
VALIDATION
Valid query parameters
The AI identifies the exact dimension names and allowed values. You won't hit errors caused by typos in your filters.
STRUCTURE
Dataset dimension maps
Your agent pulls the full hierarchy of the dataset. This lets you understand how variables relate to each other.
ACCURACY
Verified code lists
The AI checks the specific codes used for classifications. This ensures your requests match Eurostat's internal logic.
HUMAN
Manual data review
You decide which specific dimensions are relevant for your analysis. The AI provides the options, but you pick the focus.
The workflow
What your AI does when the request arrives.
The AI moves from broad dataset identification to specific parameter validation.
Fetch metadata
The AI pulls the structural definition of the requested Eurostat dataset.
get_dataset_metadataMap dimensions
The agent parses the dimension names and their corresponding hierarchies.
get_dataset_metadataExtract code lists
The AI identifies the valid values and codes for each dimension to prevent invalid queries.
get_dataset_metadataVerify parameters
The agent compares your intended query against the retrieved metadata to confirm compatibility.
get_dataset_metadata
Try it
Copy these to start.
Use these prompts to begin inspecting Eurostat data.
Starting points
Replace the dataset IDs with the specific Eurostat codes you are researching.
Eurostat Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_SRfWvytX3AaXg0kZ1x3fyfiTYkDyjrARejLhyjxj/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Eurostat capabilities are ready to use.
{
"mcpServers": {
"eurostat-discovery-dataset-catalog-explorer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_SRfWvytX3AaXg0kZ1x3fyfiTYkDyjrARejLhyjxj/mcp"
}
}
}Get the metadata for Eurostat dataset 'sdmx-23-001' so I can see its dimensions.
Check the valid code lists for the dimensions in dataset 'nama_10_gdp'.
List all available dimensions for the dataset 'tasc_pc_a' to help me build a query.
Verify if 'country' and 'time' are valid dimension names for this Eurostat dataset.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Eurostat Discovery once, then ask.
One connection links the MCP to your AI client. Your credentials stay encrypted, and you can start querying immediately.
Connect Eurostat Discovery to your AIFAQ
How this task behaves
- 01
Can the AI change the data in Eurostat?
No. The AI only reads metadata and dataset structures. It cannot modify any Eurostat records.
- 02
Does the AI download the entire dataset?
No. It only pulls the metadata and dimension definitions needed to construct valid queries.
- 03
Can I use this with Claude?
Yes, any MCP-compatible client like Claude, Cursor, or Windsurf works with this connector.
- 04
Will the AI fix my typos in the query?
The AI uses the metadata to tell you if your parameters are wrong, but you must provide the corrected query.
- 05
Can the AI create new datasets?
No. The tool is strictly for discovering and inspecting existing Eurostat datasets.
More questions about Eurostat Discovery? See everything the Eurostat Discovery Connector can do
Connect Eurostat to Claude, Cursor, ChatGPT & more
