How to Use the Date Utils Engine MCP in OpenAI Agents SDK

Q: How do I configure Date Utils Engine in OpenAI Agents SDK?

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance pointing to your Vinkius date engine URL. Pass this specific endpoint in the mcpservers array so your agent can discover the calendar tools.

Q: Can Date Utils Engine and OpenAI Agents SDK handle bad inputs?

Yes, the parsedate tool validates raw strings before any math happens. The operation rejects invalid formats immediately.

Stop LLM date hallucinations in your production pipelines. Connect this MCP Server to OpenAI Agents SDK for deterministic calendar math.

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Connect Date Utils Engine MCP to OpenAI Agents SDK

Create your Vinkius account to connect Date Utils Engine to OpenAI Agents SDK 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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Setup Date Utils Engine with OpenAI Agents SDK

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Fix Leap Years with OpenAI Agents SDK

The `add_days` tool forces the model to offload leap year calculation to a deterministic engine. Your agent can't do math, which means it will inevitably hallucinate dates if you let it guess. You pass an ISO string and the integer offset directly to the endpoint. The SDK automatically discovers these calendar tools when you pass this MCP Server to the Agent constructor. Setting `cacheToolsList=True` keeps your production system fast while ensuring date manipulation remains strictly mathematical instead of predictive.

Exact Deltas Between Timestamps

The `diff_dates` function calculates the precise gap between two ISO strings. Models struggle to count days across month boundaries, so this operation returns the exact variance in days, hours, minutes, and seconds. Built-in guardrails in your system can validate these time intervals before executing downstream actions. You'll get reliable time-tracking metrics without writing custom Python handlers for your specialized agents.

Safe Timezone Conversions

The `to_timezone` endpoint takes an ISO string and an IANA identifier like "Europe/London" to compute the correct local offset. Converting UTC to local time requires handling daylight saving time rules that change arbitrarily. Handoffs between agents often break when timezones get scrambled. Relying on this MCP Server ensures every localized timestamp matches reality before your code commits data to a database.

Setup guide

Set up Date Utils Engine 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 Date Utils Engine tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Date Utils Engine 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="Date Utils Engine Agent",
            instructions="You have access to Date Utils Engine 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 Date Utils Engine MCP in OpenAI Agents SDK

Install the `openai-agents` package via pip. Create an `MCPServerStreamableHttp` instance pointing to your Vinkius date engine URL. Pass this specific endpoint in the `mcp_servers` array so your agent can discover the calendar tools.

Agents write terrible Python code for edge cases like DST transitions. Giving the model a predefined tool handles calendar operations deterministically.

Yes, the `parse_date` tool validates raw strings before any math happens. The operation rejects invalid formats immediately.

Calendar math works perfectly across multi-agent setups. Any specialized agent in your swarm can call the date functions when needed since tools are auto-discovered.

Your raw ISO strings and timezone identifiers run through a V8 Isolate Sandbox. Vinkius spins up an ephemeral environment for the calculation and destroys it instantly, leaving zero persistent records.

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