How to Use the Time MS Converter MCP in Pydantic AI

Q: How does the Time MS Converter integrate with Pydantic AI?

It's straightforward. You'll create an MCPToolset instance with the server URL and pass that to your Agent's toolsets list. Pydantic AI handles the rest of the MCP integration.

Q: What input formats does the Time MS Converter accept when called from Pydantic AI?

It's designed for human-readable strings. Think s, m, h, d for seconds, minutes, hours, and days. It handles integers, decimals, and combinations, so "2.5d" and "1h 30m" both work.

Feed your Pydantic AI agent validated time data. Convert strings to milliseconds without worrying about type errors or bad math.

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Connect Time MS Converter MCP to Pydantic AI

Create your Vinkius account to connect Time MS Converter to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Time MS Converter with Pydantic AI

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Get Type-Safe Time Conversions

The whole point of Pydantic AI is correctness. You build agents that don't just work, they work correctly, with data that matches your schemas. Letting an LLM invent a number for a duration breaks that entire promise. This server gives your agent a `convert_time` tool that turns strings like "1d 12h" into a clean integer. When the result comes back, it's a number, not a string or a hallucinated object. Pydantic's validation ensures your agent gets exactly what it expects. It also works in reverse for formatting outputs.

Prevent Runtime Validation Errors

A common failure mode for agents is getting back data in an unexpected format, causing a Pydantic `ValidationError` downstream. This often happens when an LLM tries to format data itself and gets it wrong. Using this MCP Server tool externalizes the conversion logic. The tool's output is a simple integer, which is trivial to validate. You eliminate an entire class of potential runtime errors and make your agent far more resilient.

Write Cleaner, Safer Agent Tools

Your Pydantic models define the "what." This tool helps with the "how." Instead of writing complex parsing logic inside one of your own custom tools, you just call this one. It lets you build agents that compose small, single-purpose tools, a key pattern in MCP development. Your code stays cleaner, and you're not reinventing the wheel for something as fundamental as parsing time. It's a perfect fit for Pydantic's philosophy of building robust systems from validated components.

Setup guide

Set up Time MS Converter 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": {
        "time-ms-converter-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Time MS Converter transactions")
print(result.output)

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Common questions about Time MS Converter MCP in Pydantic AI

It's straightforward. You'll create an `MCPToolset` instance with the server URL and pass that to your `Agent`'s `toolsets` list. Pydantic AI handles the rest of the MCP integration.

You could write your own, but this tool is already built, tested, and managed as part of the Vinkius MCP catalog. It also keeps the conversion logic separate from your data models, which is a cleaner design.

Yes. If your agent is building a JSON payload that requires a duration in milliseconds, it can use this tool to get the correct integer value. This prevents sending a malformed request to the downstream API.

It's designed for human-readable strings. Think `s`, `m`, `h`, `d` for seconds, minutes, hours, and days. It handles integers, decimals, and combinations, so "2.5d" and "1h 30m" both work.

The server is stateless and only processes the specific time string you send it. The data—like "2 days"—is processed in a secure, isolated sandbox and is never written to disk or logged. The transaction is completely self-contained and leaves no trace.

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