TimezoneDB MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TimezoneDB through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="TimezoneDB Assistant",
instructions=(
"You help users interact with TimezoneDB. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TimezoneDB"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
The OpenAI Agents SDK auto-discovers all 5 tools from TimezoneDB through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TimezoneDB, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the TimezoneDB MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from TimezoneDB
Why Use OpenAI Agents SDK with the TimezoneDB MCP Server
OpenAI Agents SDK provides unique advantages when paired with TimezoneDB through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
TimezoneDB + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TimezoneDB MCP Server delivers measurable value.
Automated workflows: build agents that query TimezoneDB, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries TimezoneDB, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TimezoneDB tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TimezoneDB to resolve tickets, look up records, and update statuses without human intervention
TimezoneDB MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect TimezoneDB to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting TimezoneDB to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TimezoneDB + OpenAI Agents SDK FAQ
Common questions about integrating TimezoneDB MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect TimezoneDB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TimezoneDB to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.