Cronofy MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cronofy 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="Cronofy Assistant",
instructions=(
"You help users interact with Cronofy. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cronofy"
)
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 Cronofy MCP Server
Connect your Cronofy account to any AI agent and take full control of your unified calendar and scheduling workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Cronofy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cronofy, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Unified Event Management — List, retrieve, and create events across aggregated Google, iCloud, and Exchange overlays limitlessly
- Multi-User Availability — Query availability for up to 10 participants simultaneously, calculating strict intersections to find the perfect meeting time
- Free/Busy Auditing — Execute bulk iterations to map time matrices and return exact available boundaries without exposing event payloads
- Automated Scheduling — Generate live-availability links and shared scheduling requests to simplify meeting coordination with external members
- Identity & Profile Mapping — Inspect unified account canonical IDs and list distinct identity providers connected natively to your Cronofy profile
- Sync Control — Irreversibly vaporize explicit validations and delete events to maintain absolute consistency across all connected upstream providers
The Cronofy MCP Server exposes 10 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 Cronofy to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cronofy 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 10 tools from Cronofy
Why Use OpenAI Agents SDK with the Cronofy MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cronofy 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
Cronofy + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cronofy MCP Server delivers measurable value.
Automated workflows: build agents that query Cronofy, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cronofy, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cronofy tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cronofy to resolve tickets, look up records, and update statuses without human intervention
Cronofy MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Cronofy to OpenAI Agents SDK via MCP:
create_event
Provision a highly-available JSON Payload generating explicit Sync links
create_scheduling_request
Fetch elaborate explicit mapped limits via native forms dispatch
delete_event
Irreversibly vaporize explicit validations extracting rich Provider syncs
get_account
Inspect deep internal arrays mitigating specific Sub Provider lists
get_free_busy
Enumerate explicitly attached structured rules exporting active Overlaps
get_user_info
Identify precise active arrays spanning native Gateway auth bounds
list_calendars
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
list_profiles
Retrieve the exact structural matching verifying Blueprint directories
query_availability
Dispatch an automated validation check routing explicit Cross-Provider checks
read_events
cronofy.com/v1/events` pulling unified aggregated Google, iCloud, and Exchange overlays limitlessly. Identify bounded CRM records inside the Headless Cronofy Engine
Example Prompts for Cronofy in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cronofy immediately.
"List my calendar events from tomorrow to next week"
"Find a 30-minute slot for a meeting with john@example.com tomorrow"
"Create a scheduling link for a 'Project Review' meeting"
Troubleshooting Cronofy MCP Server with OpenAI Agents SDK
Common issues when connecting Cronofy to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cronofy + OpenAI Agents SDK FAQ
Common questions about integrating Cronofy 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 Cronofy 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 Cronofy to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.