How to Use the 7shifts MCP in OpenAI Agents SDK

Q: How do I connect 7shifts to the OpenAI Agents SDK?

Install the package with pip. Wrap the Vinkius endpoint in MCPServerStreamableHttp and pass it to your Agent constructor.

Connect 7shifts to the OpenAI Agents SDK to build production workforce agents that manage schedules and staff profiles.

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Connect 7shifts MCP to OpenAI Agents SDK

Create your Vinkius account to connect 7shifts to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup 7shifts with OpenAI Agents SDK

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Perplexity

Schedule automation via MCP Server

The `create_shift` and `list_shifts` tools give your agent direct write access to restaurant schedules. Pass a user ID, location, and ISO 8601 timestamps to assign work hours. Guardrails built into the SDK validate these parameters before execution. Your deployed system catches invalid dates locally instead of waiting for the API to reject them.

Traced staff provisioning

Profile generation happens through the `create_employee` and `list_employees` endpoints. The agent reads the current roster, checks for duplicates, and creates a new profile using just a name and email address. Every action logs straight to your OpenAI dashboard. You see exactly which agent triggered the onboard process and what data it passed to the endpoint.

Location and time-off tracking

Call `list_locations` to map out departments and roles across your restaurant group. Agents use this structural data to route shift requests to the correct manager. Pending vacation requests pull through `list_time_off` for approval workflows. Set `cacheToolsList=True` in your setup so the agent remembers these endpoints without fetching them on every run.

Setup guide

Set up 7shifts MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all 7shifts tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives 7shifts tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate 7shifts tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="7shifts Agent",
            instructions="You have access to 7shifts tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Why Choose Vinkius

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Common questions about 7shifts MCP in OpenAI Agents SDK

Install the package with pip. Wrap the Vinkius endpoint in `MCPServerStreamableHttp` and pass it to your Agent constructor.

Yes. The framework auto-discovers all six available endpoints. You skip writing custom wrappers for the API.

Handoffs let you isolate permissions. Give one agent read-only access to schedules while a separate, restricted agent handles profile creation.

Pass the cache parameter when initializing the server connection. This drops the latency of the initial agent loop.

We run this MCP Server in a V8 Isolate Sandbox that dies after the session ends. Your staff emails, names, and shift times never touch our disks.

Use it with your favorite AI tools

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