How to Use the Eurostat Discovery — Dataset Catalog Explorer MCP in Google ADK

Q: How do I restrict which tools my agent uses?

Use the toolnames filter during initialization. This limits the agent to only the functions you explicitly authorize.

Bring EU statistical data into your Google ADK agent. Query 7,000+ datasets and feed them straight into your BigQuery workflows.

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Connect Eurostat Discovery — Dataset Catalog Explorer MCP to Google ADK

Create your Vinkius account to connect Eurostat Discovery — Dataset Catalog Explorer to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Eurostat Discovery — Dataset Catalog Explorer with Google ADK

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Catalog discovery for Google ADK

Search the entire Eurostat library using `search_datasets`. Your agent identifies the relevant dataset codes based on the keywords you provide during execution. This automates the discovery phase of your data pipeline. Instead of manual lookups, your agent programmatically identifies the correct statistical source.

Metadata inspection in Google ADK

Use `get_dataset_metadata` to map out the structure of any dataset. Your agent gains visibility into dimensions like geo, time, and unit before it attempts any data retrieval. This prevents runtime errors caused by mismatched filter keys. It gives your agent the context needed to build precise queries that align with the Eurostat schema.

Direct data retrieval for Google ADK

Execute `get_dataset` to pull specific statistical values into your agent's long-context window. You get the raw data formatted for immediate use in your analysis. Your agent processes these results as part of your larger Google Cloud infrastructure. It functions as a bridge between official EU statistics and your downstream data models.

Setup guide

Set up Eurostat Discovery — Dataset Catalog Explorer MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Eurostat Discovery — Dataset Catalog Explorer tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Eurostat Discovery — Dataset Catalog Explorer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Eurostat Discovery — Dataset Catalog Explorer tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Eurostat Discovery — Dataset Catalog Explorer MCP in Google ADK

The MCP toolset integrates directly into your agent's tool list. You simply invoke the functions as part of your agent's reasoning loop.

Absolutely, your agent can search for datasets, verify metadata, and pull figures on a schedule. This creates a fully automated path from raw EU data to your reports.

Yes, you can pull large amounts of statistical data directly into the agent's context. The model then performs reasoning over the retrieved figures.

Use the tool_names filter during initialization. This limits the agent to only the functions you explicitly authorize.

The server operates in an ephemeral sandbox. It only touches public statistical data from Eurostat, ensuring no sensitive information leaves your environment.

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