Calendarific MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Calendarific through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
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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="Calendarific Assistant",
instructions=(
"You help users interact with Calendarific. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Calendarific"
)
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 Calendarific MCP Server
Connect your Calendarific account to any AI agent and orchestrate your global scheduling, vacation planning, and local observability through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from Calendarific through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Calendarific, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Holiday Oversight — List all public, religious, and local holidays for a specific country and year.
- Regional Observability — Filter holidays by state or region to ensure your planning accounts for local variations.
- Categorized Discovery — List holidays by type, such as National, Observance, or Religious holidays.
- Country & Language Directory — Access the list of 230+ supported countries and their respective ISO codes.
- Date-Specific Queries — Retrieve holidays for a specific month or day to verify work availability.
- Reference Data — Get detailed metadata for each holiday, including descriptions and observance regions.
The Calendarific MCP Server exposes 6 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 Calendarific to OpenAI Agents SDK via MCP
Follow these steps to integrate the Calendarific 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 6 tools from Calendarific
Why Use OpenAI Agents SDK with the Calendarific MCP Server
OpenAI Agents SDK provides unique advantages when paired with Calendarific 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
Calendarific + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Calendarific MCP Server delivers measurable value.
Automated workflows: build agents that query Calendarific, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Calendarific, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Calendarific tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Calendarific to resolve tickets, look up records, and update statuses without human intervention
Calendarific MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Calendarific to OpenAI Agents SDK via MCP:
get_account_info
Check the status of the integration
list_holidays
List holidays for a specific country and year
list_holidays_by_location
List holidays for a specific state or region
list_holidays_by_type
List holidays filtered by type (e.g. national, religious)
list_supported_countries
List all supported countries and their ISO codes
list_supported_languages
List all supported languages
Example Prompts for Calendarific in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Calendarific immediately.
"List all public holidays in Brazil for 2024."
"Are there any holidays in New York (US-NY) on December 25th?"
"Show me the religious holidays in Italy for 2024."
Troubleshooting Calendarific MCP Server with OpenAI Agents SDK
Common issues when connecting Calendarific to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Calendarific + OpenAI Agents SDK FAQ
Common questions about integrating Calendarific 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 Calendarific with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Calendarific to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
