How to Use the Unit & FX Calculator MCP in Pydantic AI

Q: Can I process multiple conversions at once using Unit & FX Calculator with Pydantic AI?

Yes. The batchconvert function allows you to pass values, source units, and target units for several items in one deterministic pass. This keeps your data flow efficient while maintaining strict type checking.

Q: Will the Unit & FX Calculator help me avoid hallucinating exchange rates with Pydantic AI?

Absolutely. The getrate tool uses a live Frankfurter API feed, giving you the exact current rate. Since this is validated data, your agent never has to guess.

Get precise units and live currency rates using Pydantic AI.

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Connect Unit & FX Calculator MCP to Pydantic AI

Create your Vinkius account to connect Unit & FX Calculator 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 Unit & FX Calculator with Pydantic AI

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Deterministic Math with MCP Server

Need to convert physical measurements? Don't risk mixing up metric and imperial systems. You call `convert_unit` and it deterministically converts values—like turning km/h into mph—using mathjs. It handles the math so your agent doesn't run into errors. Use `batch_convert`, which is perfect when you need to convert multiple units in one shot, making sure all outputs are type-safe.

Live Exchange Rates for Pydantic AI

Dealing with international data? The `get_rate` tool fetches the precise foreign exchange rate between any two currencies using a cached Frankfurter API. Your agent can trust this output because it's validated against defined models. Since this server caches rates for one hour, you maintain both performance and strict financial accuracy in your Pydantic AI workflows.

Type-Safe Data Validation via MCP Server

Correctness is everything. This server forces mathematical conversions and rate fetching to be deterministic processes. If the API returns unexpected data for a tool like `convert_unit`, your agent fails loudly with a validation error—no silent corruption. When you use `batch_convert` and pass values, source units, and target units, Pydantic AI ensures the returned structure is always correct.

Setup guide

Set up Unit & FX Calculator 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": {
        "unit-fx-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Unit & FX Calculator transactions")
print(result.output)

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Common questions about Unit & FX Calculator MCP in Pydantic AI

The Pydantic AI framework treats the unit calculation and currency lookup as typesafe tools. Your agent calls the relevant tool, and Pydantic validates that the output matches expected data models before proceeding.

Yes. The `batch_convert` function allows you to pass values, source units, and target units for several items in one deterministic pass. This keeps your data flow efficient while maintaining strict type checking.

It touches Measurement (for physical conversions) and Currency (for exchange rates). The server reads these types, and Pydantic ensures that both are correctly represented in your final Python objects.

It’s perfect. Because it provides deterministic conversion and live rate fetching, combining this MCP Server with Pydantic gives you maximum confidence that your agent's output is always valid and correct.

Absolutely. The `get_rate` tool uses a live Frankfurter API feed, giving you the exact current rate. Since this is validated data, your agent never has to guess.

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