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Timekit MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Cancel Booking, Check Availability, Confirm Booking, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Timekit through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Timekit app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Timekit Assistant",
            instructions=(
                "You help users interact with Timekit. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Timekit"
        )
        print(result.final_output)

asyncio.run(main())
Timekit
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* 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 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.

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.

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.

The Timekit MCP Server exposes 11 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.

All 11 Timekit tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Timekit through Vinkius, your AI agent gets direct access to every tool listed below — spanning scheduling-api, resource-management, booking-system, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_booking

Cancel a confirmed booking

check_availability

Check availability for resources

confirm_booking

Confirm a pending booking

create_booking

Create a new booking

create_resource

Create a new resource

decline_booking

Decline a pending booking

get_booking

Get details for a specific booking

get_resource

Get details for a specific resource

list_bookings

List all bookings

list_resources

List all resources (people, rooms, etc.)

reschedule_booking

Reschedule an existing booking

Connect Timekit to OpenAI Agents SDK via MCP

Follow these steps to wire Timekit into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Timekit

Why Use OpenAI Agents SDK with the Timekit MCP Server

OpenAI Agents SDK provides unique advantages when paired with Timekit through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Timekit + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Timekit MCP Server delivers measurable value.

01

Automated workflows: build agents that query Timekit, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Timekit, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Timekit tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Timekit to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Timekit in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Timekit immediately.

01

"List all resources available in my account."

02

"Find 30-minute slots for 'Alex Rivera' (ID: res_10293) for tomorrow afternoon."

03

"Confirm the tentative booking #88231."

Troubleshooting Timekit MCP Server with OpenAI Agents SDK

Common issues when connecting Timekit to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Timekit + OpenAI Agents SDK FAQ

Common questions about integrating Timekit MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.