How to Use the EuroRates MCP in Pydantic AI

Ensure type-safe currency conversion in Pydantic AI with the EuroRates MCP server.

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Connect EuroRates MCP to Pydantic AI

Create your Vinkius account to connect EuroRates to Pydantic AI 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 EuroRates with Pydantic AI

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Perplexity

Type-safe currency lookups for Pydantic AI

Every response from `get_latest_euro_rates` is validated against your Pydantic schemas at runtime. If the data structure deviates, your agent catches the issue immediately. This prevents silent errors that often plague financial integrations. Your agent remains in a known good state while fetching current conversion rates.

Reliable data ingestion for your agents

Use the MCPToolset to register this server within your agent's execution loop. The tool provides consistent schema definitions that Pydantic AI uses to verify every incoming exchange rate. This setup is ideal for production systems where data integrity is the top priority. You get clear error reporting if any part of the data flow fails.

Model-agnostic currency tools

Whether you are using local models or large cloud-based LLMs, this MCP Server works consistently. The `get_latest_euro_rates` tool provides the same reliable structure regardless of your chosen model. Focus on your application logic while the server handles the API connectivity. Your agent will only receive valid, type-checked data for every currency calculation.

Setup guide

Set up EuroRates 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": {
        "eurorates-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to EuroRates tools.",
)

result = await agent.run("List recent EuroRates transactions")
print(result.output)

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Common questions about EuroRates MCP in Pydantic AI

Pydantic AI automatically validates the tool output against your models. If the server returns unexpected data, the agent will throw a validation error.

Yes. Use the MCPToolset class to integrate the server. It handles the communication and schema mapping for your agents.

Your Pydantic AI agent will fail loudly with a validation error. This prevents corrupted data from affecting your subsequent calculations.

Yes, it supports both streamable HTTP and SSE transports. This gives you flexibility in how your agent connects to the server.

The server is sandboxed and requires an endpoint token. It only handles public rate data, ensuring no proprietary information is exposed.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.