How do I find my TimezoneDB API Key?

Log in to your [**TimezoneDB account**](https://timezonedb.com/register), and you will find your API Key on the main page. Copy and paste it below.

Does the agent support searching by city?

While the primary tools use zone strings or coordinates, you can use `list_timezones` to find the correct zone name for a specific country.

Can the agent check if DST is active?

Yes. The `get_dst_status` tool returns a boolean value identifying if daylight saving time is currently being observed in the specified zone.

TimezoneDB MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: TimezoneDB
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TimezoneDB through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to TimezoneDB "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TimezoneDB?"
    )
    print(result.data)

asyncio.run(main())

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About TimezoneDB MCP Server

Empower your AI agent to orchestrate your entire global time and timezone research workflow with TimezoneDB, the authoritative source for world clock data. By connecting TimezoneDB to your agent, you transform complex offset lookups into a natural conversation. Your agent can instantly retrieve current time for any zone, audit daylight saving statuses, and identify regional time variations without you ever touching a manual converter. Whether you are planning international calls or building global scheduling systems, your agent acts as a real-time time consultant, ensuring your data is always precise and synchronized.

Pydantic AI validates every TimezoneDB tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Time Auditing — Retrieve the exact current time for over 400 timezones and maintain a clear view of global offsets.
Location Oversight — Query timezone details based on geographic coordinates to understand local time patterns instantly.
Zone Discovery — List all supported timezones by country to identify regional variations and abbreviations.
DST Intelligence — Check if daylight saving time is currently active for any zone to assist in precise scheduling.
Spatial Discovery — Retrieve latitude and longitude metadata for specific zones to maintain spatial context.

The TimezoneDB MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect TimezoneDB to Pydantic AI via MCP

Follow these steps to integrate the TimezoneDB MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 5 tools from TimezoneDB with type-safe schemas

Why Use Pydantic AI with the TimezoneDB MCP Server

Pydantic AI provides unique advantages when paired with TimezoneDB through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your TimezoneDB integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your TimezoneDB connection logic from agent behavior for testable, maintainable code

TimezoneDB + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the TimezoneDB MCP Server delivers measurable value.

Type-safe data pipelines: query TimezoneDB with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple TimezoneDB tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query TimezoneDB and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock TimezoneDB responses and write comprehensive agent tests

TimezoneDB MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect TimezoneDB to Pydantic AI via MCP:

check_api_status

Check if the TimezoneDB API is operational

get_dst_status

Check if daylight saving time is currently active for a zone

get_time_by_location

Get current time for specific geographic coordinates

get_time_by_zone

g., "America/New_York. Get current time and details for a specific timezone (e.g., "America/New_York")

list_timezones

List all supported timezones, optionally filtered by country

Example Prompts for TimezoneDB in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TimezoneDB immediately.

"What is the current time in 'Asia/Tokyo' using TimezoneDB?"

"Check time for latitude 40.7128, longitude -74.0060."

"List all timezones in 'Brazil'."

Troubleshooting TimezoneDB MCP Server with Pydantic AI

Common issues when connecting TimezoneDB to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TimezoneDB + Pydantic AI FAQ

Common questions about integrating TimezoneDB MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your TimezoneDB MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.