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How to Use the 7shifts MCP in Google ADK

Connect 7shifts to BigQuery and Vertex AI using Google ADK.

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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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BigQuery Sync for 7shifts MCP Server Data

Enterprise data pipelines need raw scheduling inputs. Your Gemini agent grabs weekly rosters using `list_schedules` and pulls individual assignments with `list_shifts`. It then pushes those arrays directly into BigQuery for your finance team to analyze. Long-context reasoning changes how you handle labor forecasting. You can dump a massive JSON array from `list_time_punches` straight into the prompt. Gemini holds millions of tokens in memory, letting it spot overtime trends across fifty locations without breaking a sweat.

Google ADK Tools for Restaurant Staff

Managing a massive workforce requires strict tool filtering. You pass specific endpoints like `list_employees` and `list_locations` to your `LlmAgent` while hiding the rest. The `tool_names` filter ensures a reporting agent cannot accidentally modify staff records. Cross-referencing staff data happens instantly. The agent reads `list_roles` to understand job codes and pulls specific profiles with `get_employee`. Vertex AI handles the reasoning while the MCP Server handles the API communication.

Vertex AI Workforce Automation

Writing custom scripts for shift creation takes too much time. Your agent builds new rosters dynamically by calling `create_shift` based on historical traffic patterns. It maps these shifts to the correct areas using `list_departments`. System events trigger immediate agent reactions. The setup monitors `list_webhooks` for new hire notifications and automatically provisions their accounts via `create_employee`. Google Cloud infrastructure keeps this pipeline running reliably in the background.

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 this toolset into your `LlmAgent` initialization.
Absolutely. Use the `tool_names` parameter when setting up the toolset. This restricts the agent to specific endpoints like reading schedules without allowing shift creation.
Yes. You can pull massive arrays of employee data and feed them entirely into the prompt. Gemini processes the full JSON payload natively.
Your agent retrieves the data using the list tools. You then write a custom Google Cloud function that takes the agent's output and inserts it into your BigQuery tables.
Only the specific Google ADK client holding your Vinkius endpoint token. The server operates on a zero-trust architecture and strips all employee profile data from memory the moment the connection closes.

Start using the 7shifts MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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