Bring Scheduling Api
to OpenAI Agents SDK
Learn how to connect Timekit to OpenAI Agents SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Timekit MCP Server?
Connect your Timekit account to any AI agent and simplify how you manage resource availability, booking workflows, and customer appointments through natural conversation.
What you can do
- Resource Management — List all resources (people, rooms, equipment) and create new profiles to manage scheduling capacity.
- Booking Lifecycle — Create new bookings, confirm tentative requests, or decline/cancel existing appointments via AI.
- Availability Checking — Programmatically find available time slots for one or more resources based on specific date ranges and durations.
- Rescheduling — Easily move existing bookings to new time slots without manual dashboard entry.
- Workflow Control — Manage complex booking 'graphs' (instant, confirm_decline) directly from your workspace.
- Account Visibility — Retrieve detailed metadata for specific bookings and resources to stay on top of your schedule.
How it works
1. Subscribe to this server
2. Enter your Timekit API Key (found in your developer settings)
3. Start managing your scheduling infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- Service Providers — quickly book client consultations and check availability via simple AI commands.
- Office Managers — manage room bookings and equipment scheduling across the organization directly from the workspace.
- Product Teams — automate the creation of resources and monitor booking flows via the AI assistant.
Built-in capabilities (11)
Cancel a confirmed booking
Check availability for resources
Confirm a pending booking
Create a new booking
Create a new resource
Decline a pending booking
Get details for a specific booking
Get details for a specific resource
List all bookings
List all resources (people, rooms, etc.)
Reschedule an existing booking
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 11 tools from Timekit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Timekit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Timekit in OpenAI Agents SDK
Timekit and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Timekit to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Timekit in OpenAI Agents SDK
The Timekit 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Timekit for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Timekit MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check availability for multiple resources at once?
Yes! Use the check_availability tool and provide a JSON array of Resource IDs. The agent will return time slots where all specified resources are available.
How do I confirm a tentative booking request?
Use the confirm_booking action and provide the unique Booking ID. This will transition the request from 'tentative' to 'confirmed' in your Timekit account.
Is it possible to reschedule an existing appointment via AI?
Absolutely. Use the reschedule_booking tool. Provide the Booking ID and the new start and end times to update the appointment instantly.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
