How to Use the 7shifts MCP in Google ADK
Connect 7shifts to BigQuery and Vertex AI using Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up 7shifts MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
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