How to Use the Nager.Date MCP in OpenAI Agents SDK

Q: How do I connect Nager.Date to the OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance with your endpoint URL and pass it as mcpservers=server to your Agent constructor.

Q: Can my OpenAI Agents SDK system cache Nager.Date responses?

Yes. Set cacheToolsList=True in your agent configuration. This prevents the agent from re-fetching the Nager.Date MCP Server tool definitions on every single execution.

Q: Will Nager.Date work with OpenAI Agents SDK handoffs?

Absolutely. One agent can pull holiday data using getpublicholidays, then hand that context directly to a specialized routing agent. The entire data flow stays visible in your OpenAI tracing dashboard.

Build production-ready holiday routing agents with OpenAI Agents SDK. Stop hardcoding global calendars and verify dates dynamically.

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Connect Nager.Date MCP to OpenAI Agents SDK

Create your Vinkius account to connect Nager.Date 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 Nager.Date with OpenAI Agents SDK

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Global Calendar Routing for OpenAI Agents SDK

Your supply chain agent needs to know if German warehouses are closed tomorrow. Instead of parsing static CSV files, you pass the `nagerdate-mcp` server to your Agent constructor. The OpenAI Agents SDK auto-discovers all six tools instantly. When a user asks for delivery estimates, the agent fires off `is_holiday_today` or `get_public_holidays`. If the dates conflict with a local closure, OpenAI's built-in guardrails catch the routing error before the agent finalizes the shipment.

Trigger Handoffs Based on Worldwide Events

Multi-agent setups thrive on context. You can build a specialized scheduling agent that monitors global events using `get_next_holidays_worldwide`. When it detects a major holiday approaching in a target market, it hands the conversation off to your marketing agent. The transition is fully traceable in the OpenAI dashboard. You see exactly when the agent called `list_available_countries`, pulled the regional data, and made the decision to transfer control. No black boxes.

Verify Regional Details Before Execution

Passing bad data to downstream APIs breaks production systems. Before your agent commits a transaction, it uses `get_country_details` to validate regional codes and expected formats. Since you set `cacheToolsList=True` in your setup, these validation checks happen with minimal latency. Your agents get the exact holiday context they need without burning cycles re-fetching tool schemas from the MCP Server.

Setup guide

Set up Nager.Date 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 Nager.Date tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance with your endpoint URL and pass it as `mcp_servers=[server]` to your Agent constructor.

Yes. Set `cacheToolsList=True` in your agent configuration. This prevents the agent from re-fetching the Nager.Date MCP Server tool definitions on every single execution.

Absolutely. One agent can pull holiday data using `get_public_holidays`, then hand that context directly to a specialized routing agent. The entire data flow stays visible in your OpenAI tracing dashboard.

The API returns an error, which the agent reads and attempts to correct. You can enforce strict input formats using OpenAI's built-in guardrails before the call even fires.

This server only processes country codes and calendar years. It never touches PII, user prompts, or internal logs. The OpenAI agent simply queries public holiday schedules over a secure, ephemeral HTTP stream.

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