How to Use the ECB Discovery — Universal Statistical Data Access MCP in Google ADK

Q: Can Google ADK filter the tools exposed by ECB Discovery — Universal Statistical Data Access?

Yes. Use the toolnames parameter when setting up the toolset. This restricts the agent to specific operations if you only want it querying data and not browsing the catalog.

Pipe European Central Bank data straight into your Google ADK agents for deep economic analysis.

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Connect ECB Discovery — Universal Statistical Data Access MCP to Google ADK

Create your Vinkius account to connect ECB Discovery — Universal Statistical Data Access 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 ECB Discovery — Universal Statistical Data Access with Google ADK

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Map the ECB Catalog

The `list_dataflows` tool gives your Gemini agent a complete map of the ECB statistical database. It grabs the codes and descriptions for everything from monetary aggregates to yield curves. Gemini's massive context window easily absorbs this entire catalog at once. Your agent reviews the full list and selects the exact dataflow code needed for the user's prompt.

Pull SDMX Metrics via MCP Server

The `query_ecb_data` tool fetches the actual numbers using a dataflow code and an SDMX series key. If you need daily exchange rates, your agent passes EXR and the specific currency pair identifier. This raw data feeds directly into your Google Cloud infrastructure. Your agent grabs the statistics and pushes them into BigQuery for further enterprise analysis.

Analyze Multi-Year Trends

Agents call the `query_ecb_data` tool to pull massive historical datasets. The ECB returns long time series data for banking supervision and financial market indicators. You feed years of daily statistical points into the 1M+ token context window. The agent spots macro-economic trends that smaller models simply cannot hold in memory.

Setup guide

Set up ECB Discovery — Universal Statistical Data Access 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 ECB Discovery — Universal Statistical Data Access 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="ECB Discovery — Universal Statistical Data Access_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ECB Discovery — Universal Statistical Data Access tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by European Central Bank. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ECB Discovery — Universal Statistical Data Access MCP in Google ADK

Install google-adk via pip. Initialize an McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass this toolset into your LlmAgent configuration.

Yes. Use the tool_names parameter when setting up the toolset. This restricts the agent to specific operations if you only want it querying data and not browsing the catalog.

Gemini handles massive amounts of context natively. It ingests thousands of SDMX data points from the European Central Bank and reasons across the entire dataset without losing track of details.

No. The MCP server handles the API requests and returns the statistical data to your agent. Your agent reads the results and formats them for your specific use case.

The MCP architecture operates on a zero-trust model. The system fetches public ECB exchange rates and monetary figures without ever seeing or accessing your Google Cloud authentication keys.

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