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How to Use the 7shifts MCP in Google ADK

Feed 7shifts workforce data into Google ADK to let Gemini agents manage restaurant schedules and time-off requests.

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Google ADK

Connect 7shifts MCP to Google ADK

Create your Vinkius account to connect 7shifts to Google ADK 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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Gemini-driven shift management

The `list_shifts` and `create_shift` tools plug your restaurant schedules directly into Gemini. Agents read the current calendar and generate new assignments based on coverage gaps. Long-context reasoning changes how this works. You feed a million tokens of historical sales data from BigQuery into the prompt, and the agent writes a schedule matching projected foot traffic.

Granular tool control via Google ADK

The `tool_names` filter lets you expose specific capabilities to different agents. Restrict a public-facing bot to only query `list_locations` while internal agents get full write access. Employee records flow through `list_employees` and `create_employee`. The framework handles the HTTP transport, letting your Vertex AI pipelines read staff rosters without custom auth logic.

Enterprise time-off resolution

Leave requests surface via the `list_time_off` tool. Agents review pending dates against the broader company calendar to prevent understaffing. This MCP integration runs securely inside your Google Cloud environment. Connect the Vinkius endpoint using `McpToolset` to give your enterprise agents immediate access to workforce operations.

Setup guide

Set up 7shifts MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with 7shifts tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="7shifts_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 7shifts tools via MCP.",
    tools=mcp_tools,
)

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 Google ADK

Use `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass the result to your `LlmAgent` tools array.
Provide an array of strings to the tool filter parameter. The agent will ignore any endpoints you omit.
Gemini processes massive context windows. It cross-references current schedules with your BigQuery data to spot overlaps before assigning shifts.
The package supports both Stdio and HTTP transports natively. Vinkius provides the HTTP endpoint out of the box.
Every connection routes through an ephemeral, zero-trust sandbox. Employee shift times and location details exist only in memory and vanish instantly.

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