How to Use the ECB Monetary — Money Supply, Yield Curves & Banknotes MCP in Google ADK

Q: How do I integrate the ECB Monetary — Money Supply, Yield Curves & Banknotes MCP Server with Google ADK?

Install google-adk and configure an McpToolset using StreamableHttpServerParameters. Pass this toolset to your LlmAgent to expose the ECB data operations.

Q: Can Google ADK agents read the full yield curve from ECB Monetary — Money Supply, Yield Curves & Banknotes?

Yes. The agent uses getyieldcurvesnapshot to load all maturities from 3 months to 30 years into Gemini's context window.

Q: How does Google ADK query M3 aggregates from ECB Monetary — Money Supply, Yield Curves & Banknotes?

Your agent calls the getmonetaryaggregate tool with 'M3' as the parameter. This returns data including M1, M2, repurchase agreements, money market funds, and debt securities up to two years.

Q: Does the server track legacy banknotes?

The server tracks all euro denominations via the getbanknotes endpoint. This includes the €500 note, with monthly data stretching back to the currency's launch.

Feed eurozone monetary data and yield curves into your Google ADK enterprise agents.

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Connect ECB Monetary — Money Supply, Yield Curves & Banknotes MCP to Google ADK

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Setup ECB Monetary — Money Supply, Yield Curves & Banknotes with Google ADK

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Analyze ECB policy with Google ADK

Feeding M1, M2, and M3 money supply statistics straight to your agent happens via the `get_monetary_aggregate` tool. M3 serves as the primary policy indicator, tracking everything from overnight deposits to debt securities up to two years. You get the raw figures central bankers use to gauge inflation. Gemini models hold over a million tokens in context. You can pull years of internal corporate revenue data from BigQuery and ask your agent to compare it against the eurozone monetary expansion. The ADK handles the routing between your internal databases and this external MCP endpoint.

Read the eurozone yield curve

Extracting the full shape of the current government bond market requires the `get_yield_curve_snapshot` tool. It lists yields for all maturities from 3 months out to 30 years. Your agent immediately sees whether the curve is upward, flat, or inverted. Enterprise risk models rely on these bond spreads. You configure your Google Cloud pipeline to trigger the agent daily. It reads the snapshot, correlates the AAA-rated sovereign debt yields with your Vertex AI forecasts, and flags potential recessionary signals.

Track physical liquidity and specific bonds

You can pull the exact volume of physical euros in circulation using the `get_banknotes` tool. The `get_yield_curve` tool allows targeted queries for specific bond maturities rather than the whole curve. Both tools provide granular central bank metrics. Tracking €500 note circulation alongside 10-year bond yields gives your agent a detailed view of market stress. You pass the `McpToolset` to your LlmAgent in Python. The framework exposes these specific MCP operations while you control the exact tools available using the `tool_names` filter.

Setup guide

Set up ECB Monetary — Money Supply, Yield Curves & Banknotes 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 Monetary — Money Supply, Yield Curves & Banknotes 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 Monetary — Money Supply, Yield Curves & Banknotes_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ECB Monetary — Money Supply, Yield Curves & Banknotes tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ECB Monetary — Money Supply, Yield Curves & Banknotes MCP in Google ADK

Install `google-adk` and configure an `McpToolset` using `StreamableHttpServerParameters`. Pass this toolset to your `LlmAgent` to expose the ECB data operations.

Yes. The agent uses `get_yield_curve_snapshot` to load all maturities from 3 months to 30 years into Gemini's context window.

Your agent calls the `get_monetary_aggregate` tool with 'M3' as the parameter. This returns data including M1, M2, repurchase agreements, money market funds, and debt securities up to two years.

The server tracks all euro denominations via the `get_banknotes` endpoint. This includes the €500 note, with monthly data stretching back to the currency's launch.

Your agent requests public central bank figures like banknote circulation and AAA bond yields. The Vinkius zero-trust architecture processes these requests in a stateless environment, meaning your specific enterprise queries are never logged or stored.

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