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

Q: How do I configure the ECB Monetary — Money Supply, Yield Curves & Banknotes MCP Server for Pydantic AI?

Install pydantic-ai-slimmcp. Initialize an MCPToolset with the server's HTTP URL and pass it in the toolsets array to your Agent.

Q: Can Pydantic AI fetch specific bond maturities using ECB Monetary — Money Supply, Yield Curves & Banknotes?

Yes. Your agent calls getyieldcurve to target exact maturities between 3 months and 30 years, rather than pulling the entire curve.

Type-safe ECB monetary aggregates and yield curves for your Pydantic AI agents.

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Connect ECB Monetary — Money Supply, Yield Curves & Banknotes MCP to Pydantic AI

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Setup ECB Monetary — Money Supply, Yield Curves & Banknotes with Pydantic AI

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Validate M3 money supply queries with this MCP Server

Specific eurozone money supply figures arrive via the `get_monetary_aggregate` tool, categorized into M1, M2, and M3. M3 is the critical metric here, capturing repos and money market funds alongside basic deposits. Your agent requests the exact aggregate it needs to assess liquidity. Central bank data requires absolute precision. Pydantic AI validates the server's response against your predefined data models at runtime. If the API returns a string instead of a float for the M3 volume, the framework throws a validation error immediately. You never pass hallucinated numbers to your downstream financial models.

Parse bond yields securely

The `get_yield_curve_snapshot` tool retrieves the latest shape of the eurozone government bond market. It pulls all maturities from 3 months to 30 years in a single payload. You can also use `get_yield_curve` to isolate specific maturity brackets. Yield curve inversions dictate massive portfolio reallocations. You define a strict Pydantic model for the expected bond maturities and yields. Your model-agnostic agent fetches the snapshot and the framework guarantees the data structure matches perfectly before your code executes the reallocation logic.

Type-check physical currency statistics

Monthly circulation statistics for every euro denomination are output by the `get_banknotes` tool. The data covers €5 bills up to €500 notes, dating back to the inception of the euro. Tracking physical cash volume provides a baseline for shadow economy estimates. You connect the unified MCP endpoint to your agent via HTTP. Because Pydantic AI prioritizes correctness, you know the agent will crash loudly if the denomination breakdown fails to match your expected schema, rather than silently corrupting your database.

Setup guide

Set up ECB Monetary — Money Supply, Yield Curves & Banknotes MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "ecb-monetary-money-supply-yield-curves-banknotes-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to ECB Monetary — Money Supply, Yield Curves & Banknotes tools.",
)

result = await agent.run("List recent ECB Monetary — Money Supply, Yield Curves & Banknotes transactions")
print(result.output)

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Common questions about ECB Monetary — Money Supply, Yield Curves & Banknotes MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Initialize an `MCPToolset` with the server's HTTP URL and pass it in the `toolsets` array to your Agent.

Yes. Your agent calls `get_yield_curve` to target exact maturities between 3 months and 30 years, rather than pulling the entire curve.

Financial analysis requires strict type safety. The framework validates the M1, M2, and M3 figures returned by the server against your models, failing loudly if the data structure is unexpected.

It returns the latest full yield curve for eurozone government bonds. This shows whether the current market shape is normal, flat, or inverted.

The server processes requests for public ECB statistics like M3 growth and 10-year bond yields. Vinkius routes these requests through an ephemeral V8 Isolate Sandbox, ensuring no connection state or query parameters survive after the HTTP response completes.

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