How to Use the ExchangeRate-API MCP in Pydantic AI

Q: How does the agent know which currency codes are valid?

The agent can execute listsupportedcurrencies to retrieve the full list of supported codes. The returned list is validated at runtime, so your agent only works with verified currency identifiers.

Get type-safe exchange rates and conversions in Pydantic AI with strict runtime validation.

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Connect ExchangeRate-API MCP to Pydantic AI

Create your Vinkius account to connect ExchangeRate-API 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 ExchangeRate-API with Pydantic AI

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Strict type validation for currency conversions

The `convert_currency_pair` tool returns precise conversion calculations that Pydantic AI validates against strict schemas at runtime. If the API returns unexpected data formats, the framework raises a validation error immediately, preventing corrupt pricing data from entering your backend. This runtime check is critical when your system automates real-time checkout flows or ledger updates. You can trust that the floats, strings, and currency codes returned by the tool match your application's expected types exactly.

Safe ingestion of latest rates via Pydantic AI

The `get_latest_rates` tool fetches current exchange values for any base currency while enforcing strict type-checking on the returned rate map. Pydantic AI ensures that every rate returned is mapped to a valid float, eliminating silent parsing failures. By wrapping this tool in a unified toolset, your agent can safely parse the rate payload from the MCP Server. If the server returns a malformed response, the framework catches it before your agent can act on bad math.

Validate historical trends without hallucinations

The `get_historical_rates` tool retrieves historical pricing data which Pydantic AI parses into structured Python models. This prevents your agent from hallucinating past rates, as every value is anchored to verified historical records returned by the API. Because the framework is model-agnostic, you can use this toolset with any supported LLM. The type-safety layer remains active, ensuring that whether you use a local model or a commercial API, the historical data is parsed correctly.

Setup guide

Set up ExchangeRate-API 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": {
        "exchangerate-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent ExchangeRate-API transactions")
print(result.output)

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Common questions about ExchangeRate-API MCP in Pydantic AI

Use the MCPToolset constructor with your Vinkius HTTP endpoint URL. Pass this toolset directly into the toolsets list when defining your Pydantic AI Agent.

Pydantic AI will raise a validation error instantly. This prevents your agent from processing corrupt currency values or writing bad data to your financial database.

Yes. Since Pydantic AI is model-agnostic, you can connect this toolset to local models or commercial APIs while maintaining strict type-safety on all currency conversions.

The agent can execute list_supported_currencies to retrieve the full list of supported codes. The returned list is validated at runtime, so your agent only works with verified currency identifiers.

The framework only processes the currency codes, historical dates, and conversion amounts required by the tools. All credentials and API tokens are managed securely by Vinkius, keeping them out of your local agent code.

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