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How to Use the World Time (Keyless) MCP in Pydantic AI

Ensure perfect time data with Pydantic AI's validated World Time (Keyless) responses.

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Connect World Time (Keyless) MCP to Pydantic AI

Create your Vinkius account to connect World Time (Keyless) 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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Get accurate global atomic times.

The agent calls `get_current_time` and gets the exact current atomic time, UTC offset, and DST status. Crucially, Pydantic validates this output against your defined model. You won't get silent corruption. If the API response is malformed, the agent fails loudly with a validation error.

Validate all available time zones.

Before running any logic, use `list_available_timezones` to check what regions exist. The returned data—a list of strings—is immediately validated by Pydantic. This means the agent knows *for sure* that every timezone string it handles is valid before proceeding with its task.

Build type-safe time workflows.

You wrap the MCP toolset and pass it to your Agent. The framework ensures that any data returned by `get_current_time` or `list_available_timezones` adheres strictly to your Python types. This guarantees correctness, which is more important than speed when dealing with critical time measurements.

Setup guide

Set up World Time (Keyless) MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "world-time-keyless-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent World Time (Keyless) transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by World Time API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about World Time (Keyless) MCP in Pydantic AI

When the agent calls `get_current_time`, Pydantic validates the response structure immediately. It checks that the returned atomic time, offset, and DST status match your expected data types.
Yes. Since Pydantic validates every output, you eliminate the risk of receiving unexpected or corrupted time fields, making it safe for deployment.
You pass the toolset to your Agent. The framework handles calling tools like `list_available_timezones` and then validates the resulting data payload against your schema.
You can use `list_available_timezones` to get a complete list of supported regions. This helps you build the most robust tool definitions for your agent.
The server provides timezone strings, atomic timestamps, UTC offsets, and DST status information. Pydantic validates these structured types at runtime.

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