Can the AI find an available slot for a specific service next Friday?

Yes. Upon providing the location and service ID along with the desired date, your agent invokes `get_availability`. The connector reads Picktime's master block array, isolating the open time windows seamlessly against existing rules (like business hours and buffers).

If a customer cancels on the phone, can the AI remove their booking?

Absolutely. Just provide the booking ID to the agent and it will utilize the `cancel_booking` function. Picktime will release the blocked slot immediately back to the customer-facing booking page.

Can I grab all upcoming appointments for a specific staff member?

Yes, by matching the staff member's ID from `list_staff` with the broader fetch generated by `list_bookings`. Alternatively, your agent can sort and filter the returned array natively in its reasoning stream, showing you only Dr. Silva's schedule.

Picktime MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Picktime
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Picktime Assistant",
            instructions=(
                "You help users interact with Picktime. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Picktime MCP Server

Connect your Picktime organization account to your AI agent and turn complex scheduling and availability management into a simple chat conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Picktime through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Picktime, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Space & Resources — Easily retrieve structural logistics utilizing list_locations and inspect the service portfolio actively using list_services.
Staff Management — Gather team rosters through list_staff to orchestrate proper assignment mappings for upcoming reservations.
Booking Operations — Execute deep audits with list_bookings, review detailed entries (get_booking_details), and cleanly back out utilizing cancel_booking.
Availability Mapping — Audit live calendar empty spots using get_availability or check structured slots via list_classes for seamless planning.

The Picktime 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 Picktime to OpenAI Agents SDK via MCP

Follow these steps to integrate the Picktime 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 Picktime

Why Use OpenAI Agents SDK with the Picktime MCP Server

OpenAI Agents SDK provides unique advantages when paired with Picktime 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

Picktime + OpenAI Agents SDK Use Cases

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

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

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

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

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

Picktime MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Picktime to OpenAI Agents SDK via MCP:

cancel_booking

Cancel a Picktime booking with a reason. The customer receives a cancellation notification and the time slot becomes available again for new bookings

get_availability

Get available booking time slots for a specific Picktime service on a given date. Returns free windows considering staff schedules, existing bookings, and buffer times. Essential for building custom booking flows

get_booking_details

Get full details of a specific Picktime booking including customer contact info, service booked, staff assigned, start/end times, payment status, and any customer notes

get_location

Used to resolve workspace boundaries before hitting schedules. Get detailed configuration for a specific Picktime location by ID. Returns location name, address, timezone, working hours, booking URL, and linked calendar/payment integrations

get_service_details

Get detailed configuration for a specific Picktime service. Returns name, duration, price, description, staff assignments, booking limits, and cancellation policy

list_bookings

List all bookings for a Picktime location with optional date filter. Returns customer names, booked services, staff assignments, times, statuses, and payment info. Essential for schedule management

list_classes

List all group classes configured for a Picktime location. Classes are multi-attendee bookings with capacity limits — yoga sessions, workshops, group trainings

list_locations

List all business locations configured in Picktime. Each location operates independently with its own services, staff, working hours, and booking pages. Multi-location businesses manage branches separately

list_services

List all bookable services for a Picktime location. Returns service names, durations, prices, descriptions, assigned staff, and buffer times. Services define what customers can book

list_staff

List all staff members at a Picktime location. Returns staff names, emails, roles, assigned services, working hours, and active status. Staff availability determines bookable time slots

Example Prompts for Picktime in OpenAI Agents SDK

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

"Find all of our active clinic locations in the Picktime registry."

"Cancel the booking record identified as BK123456."

"Can you check the availability data for 'Hair Styling' next Monday?"

Troubleshooting Picktime MCP Server with OpenAI Agents SDK

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

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.

Picktime + OpenAI Agents SDK FAQ

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

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.