# Eurostat Discovery MCP for AI Agents AI Agent Connect

> Eurostat Discovery — Dataset Catalog Explorer. This Connector lets your AI agent browse and pull data from over 7,000 official European Union datasets. Use it to find specific statistics on economics, demographics, or energy, and get the exact dimensions you need to run a query. It's the fastest way to navigate the massive Eurostat catalog without manual searching.

## Overview
- **Category:** data-analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_SRfWvytX3AaXg0kZ1x3fyfiTYkDyjrARejLhyjxj/ai-agent-connect
- **Tags:** eu-statistics, dataset-discovery, metadata-query, economic-data, open-data, statistical-analysis

## Description

Finding specific statistics from the European Union can feel like looking for a needle in a haystack. You usually have to navigate complex websites, hunt for the right dataset codes, and then figure out which filters are actually available before you can see any numbers. Eurostat Discovery changes that by giving your AI agent a direct line into the catalog. Instead of clicking through dozens of pages, you can just ask your agent to find data on a specific topic, like housing costs or GDP growth. It handles the heavy lifting of finding the right dataset code, checking the available dimensions like country or time periods, and pulling the actual data for you. This makes it way easier to build reports or do research because you're not stuck debugging metadata. It's part of the Vinkius catalog, making it easy to plug into your existing setup so you can get straight to the analysis.

## Tools

### search_datasets
Find matching dataset codes and names using keywords. Use this to identify the correct dataset before you pull data.

### get_dataset_metadata
See all available dimensions, code lists, and filter values. Use this to understand what parameters you can actually query.

### get_dataset
Query a specific Eurostat dataset using its code and filters. This provides the actual data for your analysis.

## Prompt Examples

**Prompt:** 
```
Find datasets related to housing prices
```

**Response:** 
```
🔍 **Search: 'housing prices'**

Found 12 matching datasets:
1. prc_hpi_q — House Price Index (quarterly)
2. prc_hpi_a — House Price Index (annual)
3. ilc_lvho02 — Housing cost overburden rate
4. enpr_lphp — Labour cost in housing construction
...

Use get_dataset with code 'prc_hpi_q' to retrieve data.
```

**Prompt:** 
```
What dimensions are available in the GDP dataset?
```

**Response:** 
```
📋 **Metadata: namq_10_gdp**

Dimensions:
- geo: 42 countries (EU27 + EEA + candidates)
- time: 1995-Q1 to 2024-Q3
- unit: 8 options (CP_MEUR, CLV10_MEUR, PC_GDP...)
- na_item: 15 components (B1GQ=GDP, P3, P5G...)
- s_adj: SCA, NSA, CA
- freq: Q (quarterly)

Use these dimension codes as filter parameters.
```

**Prompt:** 
```
Get the house price index for Germany and France since 2020
```

**Response:** 
```
🏠 **House Price Index (2015=100)**

| Quarter | 🇩🇪 Germany | 🇫🇷 France |
|---------|------------|----------|
| 2020-Q1 | 128.3 | 112.1 |
| 2022-Q4 | 152.1 | 129.4 |
| 2024-Q2 | 138.7 | 122.8 |

German prices peaked in 2022 then corrected -8.8%. France more stable.
```

## Capabilities

### Find specific dataset codes
Search the entire Eurostat catalog using keywords to identify the correct dataset ID.

### Check available dimensions
See every possible filter like country, year, and unit before you run a query.

### Pull actual dataset data
Retrieve the specific numbers you need for a given dataset code and set of filters.

### Filter by country and time
Apply specific geographic and chronological constraints to your data requests.

### Inspect dataset frequencies
Identify whether data is updated quarterly, annually, or monthly before analyzing.

## Use Cases

### Comparing housing costs across EU countries
A researcher asks for housing prices in 10 countries. The agent uses search_datasets to find the code, then uses get_dataset to pull the data for those specific nations.

### Verifying GDP units and frequency
An analyst needs to know if GDP data is in millions or billions. They ask the agent to check the metadata, and get_dataset_metadata reveals the units and update frequency.

### Finding every renewable energy dataset
A student wants to see all available energy data. The agent runs search_datasets for renewable energy and lists all matching codes for the student to review.

### Extracting inflation time series
A policy wonk needs a time series of inflation from 2010 to 2023. The agent finds the code and uses get_dataset with the specific year filters to generate a clean table.

## Benefits

- Stop hunting for dataset codes manually because search_datasets finds the right IDs instantly.
- Avoid query errors by using get_dataset_metadata to see exactly which countries or units are available.
- Get precise data points by applying specific time and geography filters through get_dataset.
- Save hours of manual browsing by letting your agent navigate the 7,000+ Eurostat databases for you.
- Build more accurate reports by accessing official, high-quality EU statistics directly in your chat.

## How It Works

The bottom line is your agent handles the navigation so you get the data you need in one go.

1. Ask your agent to find a dataset using a keyword like inflation or housing.
2. Have the agent check the metadata to see which countries or years are included.
3. Request the final data using the specific code and your chosen filters.

## Frequently Asked Questions

**Can Eurostat Discovery find specific EU statistics?**
Yes, it lets your agent search across over 7,000 official Eurostat datasets to find the exact data you need.

**How does Eurostat Discovery help with research?**
It automates the tedious process of navigating the Eurostat website. Your agent can find the right dataset codes and pull the data for you in seconds.

**Can I use Eurostat Discovery to find GDP data?**
Yes, it can find any dataset in the Eurostat catalog, including GDP, inflation, and energy statistics.

**Does Eurostat Discovery show available countries?**
Yes, it pulls metadata for every dataset, showing you exactly which countries and regions are included before you run a query.

**Can I filter data by year using Eurostat Discovery?**
Yes, it supports flexible time filters so you can request specific years or quarterly data for your analysis.

**Is Eurostat Discovery good for economic research?**
It is an excellent tool for economic research because it provides direct access to high-quality, official European Union statistics.

**How many datasets does Eurostat have?**
Over **7,000 datasets** covering 9 statistical themes. Use the search_datasets tool to find any dataset by keyword, then get_dataset_metadata to understand its dimensions before querying.