How to Use the 7shifts MCP in AutoGen

Q: How do I configure AutoGen to use 7shifts?

Install autogen-extmcp. Pass your Vinkius URL to StreamableHttpServerParams, extract the tools, and hand them to your AssistantAgent constructor.

Q: Can AutoGen agents create 7shifts schedules without human input?

Yes. If you allow it, an agent can execute createshift autonomously. You can also configure a human-in-the-loop step where you approve the agent's proposed schedule before it commits.

Q: Does the 7shifts AutoGen integration support webhooks?

You can run listwebhooks to see active event triggers. Agents can use this information to understand what automated notifications are already running in your restaurant.

Let AutoGen agents debate labor costs and optimize 7shifts schedules autonomously.

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Connect 7shifts MCP to AutoGen

Create your Vinkius account to connect 7shifts to AutoGen 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 AutoGen

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Multi-Agent 7shifts MCP Server Debates

Restaurant scheduling is a constant battle between coverage and labor costs. AutoGen lets you spin up a service agent to push for more staff while a finance agent argues to cut hours. They use the MCP connection to pull hard data. The finance agent runs `list_time_punches` to point out overtime issues. The service agent counters by pulling `list_schedules` to show coverage gaps. They negotiate until they reach a staffing plan that satisfies both constraints.

Negotiate Employee Onboarding

Adding a new manager requires input from multiple departments. Your AutoGen system can coordinate this by having agents verify the requirements before anything gets written to the database. An HR agent checks `list_roles` to confirm the title exists. An operations agent verifies the venue via `list_locations`. Only after they agree does the system execute `create_employee` to finalize the hire.

Resolve Shift Conflicts Automatically

Double-booking staff ruins a dinner rush. When a manager requests a schedule change, an AutoGen reviewer agent steps in to audit the proposal against existing assignments. The reviewer pulls `list_shifts` to check the current board. If it spots a conflict, it rejects the change and forces the scheduling agent to draft a new plan using `create_shift` with different parameters.

Setup guide

Set up 7shifts MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes 7shifts tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="7shifts_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent 7shifts data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="7shifts_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent 7shifts data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 7shifts. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about 7shifts MCP in AutoGen

Install `autogen-ext[mcp]`. Pass your Vinkius URL to `StreamableHttpServerParams`, extract the tools, and hand them to your AssistantAgent constructor.

Yes. If you allow it, an agent can execute `create_shift` autonomously. You can also configure a human-in-the-loop step where you approve the agent's proposed schedule before it commits.

The conversation history acts as shared memory. If one agent runs `list_employees` to find available cooks, the other agents read that output from the chat thread to inform their own decisions.

You can run `list_webhooks` to see active event triggers. Agents can use this information to understand what automated notifications are already running in your restaurant.

Your Vinkius connection relies on a strict zero-trust architecture. When agents pull time punch records or labor costs, the data never touches our disks and the sandbox terminates immediately after the tool call.

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