What is the difference between MRO and DFR?

MRO (Main Refinancing Operations) is the rate at which banks can borrow from the ECB for one week. DFR (Deposit Facility Rate) is the rate banks earn on overnight deposits. Since 2019, DFR has become the de facto benchmark for money markets in the eurozone.

Does this server also track commercial bank interest rates?

Yes, it provides access to MFI (Monetary Financial Institutions) lending and deposit rates, which reflect the commercial banks' rates passed on to households and non-financial corporations.

Are the rates updated immediately after the ECB Governing Council decisions?

Yes, the official policy rates (MRO, DFR, MLFR) are updated in the ECB's Statistical Data Warehouse generally very shortly after the official announcement by the Governing Council.

ECB Interest Rates — Monetary Policy Rates & Banking MCP Server for Google ADK 5 tools — connect in under 2 minutes

Name: ECB Interest Rates — Monetary Policy Rates & Banking
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ECB Interest Rates — Monetary Policy Rates & Banking as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="ecb_interest_rates_monetary_policy_rates_banking_agent",
    instruction=(
        "You help users interact with ECB Interest Rates — Monetary Policy Rates & Banking "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

ECB Interest Rates — Monetary Policy Rates & Banking

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ECB Interest Rates — Monetary Policy Rates & Banking MCP Server

ECB monetary policy rates.

Google ADK natively supports ECB Interest Rates — Monetary Policy Rates & Banking as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

5 Tools

MRO — Main Refinancing Operations rate
DFR — Deposit Facility Rate
MLFR — Marginal Lending Facility Rate
All Key Rates — Combined view
MFI Rates — Bank lending/deposit rates

The ECB Interest Rates — Monetary Policy Rates & Banking MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ECB Interest Rates — Monetary Policy Rates & Banking to Google ADK via MCP

Follow these steps to integrate the ECB Interest Rates — Monetary Policy Rates & Banking MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 5 tools from ECB Interest Rates — Monetary Policy Rates & Banking via MCP

Why Use Google ADK with the ECB Interest Rates — Monetary Policy Rates & Banking MCP Server

Google ADK provides unique advantages when paired with ECB Interest Rates — Monetary Policy Rates & Banking through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ECB Interest Rates — Monetary Policy Rates & Banking

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine ECB Interest Rates — Monetary Policy Rates & Banking tools with BigQuery, Vertex AI, and Cloud Functions

ECB Interest Rates — Monetary Policy Rates & Banking + Google ADK Use Cases

Practical scenarios where Google ADK combined with the ECB Interest Rates — Monetary Policy Rates & Banking MCP Server delivers measurable value.

Enterprise data agents: ADK agents query ECB Interest Rates — Monetary Policy Rates & Banking and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine ECB Interest Rates — Monetary Policy Rates & Banking tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query ECB Interest Rates — Monetary Policy Rates & Banking regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ECB Interest Rates — Monetary Policy Rates & Banking

ECB Interest Rates — Monetary Policy Rates & Banking MCP Tools for Google ADK (5)

These 5 tools become available when you connect ECB Interest Rates — Monetary Policy Rates & Banking to Google ADK via MCP:

get_all_key_rates

Shows the full rate corridor. Get all 3 ECB key interest rates together: MRO, deposit, and marginal lending

get_deposit_rate

Since October 2019, this has become the most closely watched ECB rate as it effectively determines the lower bound of money market rates. Get the ECB deposit facility rate — the floor of the interest rate corridor

get_key_rates

This is the rate at which banks can borrow from the ECB for one week. It's the most important eurozone interest rate for monetary policy. Get the ECB's key interest rates — the main refinancing rate (MRO)

get_marginal_lending_rate

Forms the upper bound of the ECB's interest rate corridor. Get the ECB marginal lending facility rate — the ceiling of the rate corridor

get_mfi_rates

Shows what banks actually charge/pay for loans and deposits. Key indicator of monetary policy transmission. Get MFI interest rates — bank lending and deposit rates in the eurozone

Example Prompts for ECB Interest Rates — Monetary Policy Rates & Banking in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with ECB Interest Rates — Monetary Policy Rates & Banking immediately.

"What are the current ECB interest rates?"

"Fetch the latest Marginal Lending Facility Rate."

"Show the difference between the MRO and the DFR."

Troubleshooting ECB Interest Rates — Monetary Policy Rates & Banking MCP Server with Google ADK

Common issues when connecting ECB Interest Rates — Monetary Policy Rates & Banking to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

ECB Interest Rates — Monetary Policy Rates & Banking + Google ADK FAQ

Common questions about integrating ECB Interest Rates — Monetary Policy Rates & Banking MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.