How to Use the TimezoneDB MCP in OpenAI Agents SDK

Q: How do I configure TimezoneDB with the OpenAI Agents SDK?

Install the package via pip. Create an MCPServerStreamableHttp instance pointing to your Vinkius endpoint and pass it in the mcpservers array when initializing your agent.

Q: Does the OpenAI Agents SDK cache TimezoneDB tools?

Yes. Set cacheToolsList=True in your MCP server parameters. This prevents the agent from re-fetching tool schemas on every single execution loop.

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Setup TimezoneDB with OpenAI Agents SDK

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Wire up the TimezoneDB MCP Server

You need reliable global time logic for your OpenAI Agents SDK pipelines. Handing raw UTC math to an LLM usually ends in disaster. By passing `MCPServerStreamableHttp` into your Agent constructor with `cacheToolsList=True`, the agent auto-discovers the necessary functions without manual schema definitions. Once connected, the agent can call `get_time_by_zone` to grab the exact local time for places like "America/New_York". It handles the heavy lifting of offset calculations natively.

Audit offsets and coordinates

Scheduling across borders means dealing with daylight saving transitions that change arbitrarily. Your agent can run `get_dst_status` to verify if a specific region is currently observing summer time, preventing missed meetings and broken SLA windows. If you only have latitude and longitude from a mobile device ping, `get_time_by_location` converts those exact geographic coordinates into the correct local time.

Traceable system health

Production systems require monitoring. Before executing a massive batch of global dispatch updates, your agent can fire off `check_api_status` to confirm the upstream time service is actually responding. If it fails, OpenAI's built-in guardrails can trigger a handoff to a fallback agent. To populate dropdowns or build routing logic, `list_timezones` pulls the complete directory of supported regions. You can optionally filter this list by country code to keep the context window tight.

Setup guide

Set up TimezoneDB MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all TimezoneDB tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives TimezoneDB tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TimezoneDB tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="TimezoneDB Agent",
            instructions="You have access to TimezoneDB tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about TimezoneDB MCP in OpenAI Agents SDK

Install the package via pip. Create an `MCPServerStreamableHttp` instance pointing to your Vinkius endpoint and pass it in the `mcp_servers` array when initializing your agent.

Yes. Set `cacheToolsList=True` in your MCP server parameters. This prevents the agent from re-fetching tool schemas on every single execution loop.

It handles them by querying the source of truth. The agent explicitly checks the current daylight saving rules rather than relying on stale training data.

Your agent catches the failure. You can configure guardrails to pause the workflow or hand off the task to an error-handling agent.

The server only processes the latitude and longitude numbers or timezone strings you send it. Vinkius runs this MCP server in an ephemeral V8 isolate sandbox, meaning your location data is processed in memory and instantly destroyed after the request completes.

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