How to Use the 7shifts MCP in AutoGen

Q: How do I register 7shifts tools with AutoGen agents?

Use the mcpservertools function from the autogen-ext package to load the tools from your MCP endpoint. Pass the resulting tool list to your AssistantAgent constructor to enable scheduling capabilities.

Q: How do AutoGen agents handle location-specific scheduling in 7shifts?

Agents use listlocations to identify department structures. They share this metadata during their conversation to ensure shifts are only created for valid restaurant locations.

Let AutoGen agents debate and coordinate restaurant schedules, time-off, and staff onboarding automatically.

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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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Coordinate shifts through multi-agent negotiation

The `create_shift` tool lets your AutoGen agents assign specific work hours once they agree on coverage using this MCP Server. A scheduling agent proposes a shift time, and a budget agent checks it against labor costs before writing the entry. This collaborative process prevents scheduling errors. The agents communicate back and forth, using the tools only when they reach a consensus on the best roster layout.

Automate staff onboarding with this MCP Server

The `create_employee` tool adds new team members to your directory using basic contact details. In an AutoGen setup, an onboarding agent collects the name and email, then triggers the tool to register the profile. Following registration, a second agent uses `list_locations` to assign the correct department and role. This multi-agent coordination ensures new hires are set up correctly without human supervision.

Resolve time-off conflicts via agent debate

The `list_time_off` tool retrieves all pending time-off requests for your agents to review. One agent represents the employee's request, while another checks current coverage using `list_shifts`. They debate the feasibility of the request based on real-time schedule density. If they find a conflict, they work together to find a replacement before approving the time-off.

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)

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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)

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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

Use the mcp_server_tools function from the autogen-ext package to load the tools from your MCP endpoint. Pass the resulting tool list to your AssistantAgent constructor to enable scheduling capabilities.

Yes, the server handles concurrent requests. One agent can query `list_employees` to find available staff while another agent checks `list_time_off` to see who is unavailable.

Agents use `list_locations` to identify department structures. They share this metadata during their conversation to ensure shifts are only created for valid restaurant locations.

The integration uses Streamable HTTP transport via Vinkius. This allows your agents to communicate with the server over a secure, authenticated connection via the MCP standard.

Yes, all transactions involving staff names, emails, and schedules run through ephemeral V8 isolates. Vinkius manages the authentication token securely, ensuring your multi-agent conversations never leak sensitive restaurant data.

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