How to Use the Picktime MCP in Google ADK

Q: How do I configure the Picktime MCP Server in Google ADK?

Install the package using pip install google-adk and set up McpToolset with your Vinkius HTTP URL. Pass this toolset to your LlmAgent to let Gemini call the scheduling tools.

Q: Can I restrict which Picktime tools my Google ADK agent can access?

Yes, you can use the optional toolnames filter in the McpToolset configuration. This lets you limit your agent to read-only tools like listservices and block write actions like cancelbooking.

Q: How does Gemini handle Picktime staff schedules via Google ADK?

Gemini queries liststaff to retrieve working hours, roles, and active statuses for your team. It combines this with getavailability to ensure it only books staff during their active, non-conflicting shifts.

Q: Does this integration support group classes and workshops?

Yes, the agent calls listclasses to retrieve active group sessions configured at your location. It reads capacity limits to ensure your Gemini agent never overbooks a workshop.

Q: How does Vinkius protect Picktime staff emails and customer notes?

Your staff emails from liststaff and customer notes from getbookingdetails are processed in ephemeral V8 isolates. Vinkius handles the MCP authentication securely, ensuring sensitive business details never persist in the hosting environment.

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Setup Picktime with Google ADK

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Scale branch coordination using Gemini and Google ADK

The `list_locations` tool allows your Gemini agent to map out every physical branch of your business dynamically. The Google ADK feeds this multi-location data directly into Gemini's long-context window, letting the model reason across different timezones and working hours. By invoking `get_location`, your agent resolves workspace boundaries before querying active staff or services. This prevents scheduling errors by ensuring the model understands branch-specific rules before proposing open slots.

Analyze booking trends with BigQuery and Picktime

The `list_bookings` tool retrieves customer names, staff assignments, and payment statuses for your enterprise agent. Because the Google ADK integrates natively with BigQuery, your agent can cross-reference these live bookings with historical customer data. Your agent uses `get_booking_details` to pull granular metadata, including customer notes and payment info. This lets your Gemini model write clean records back to your warehouse while keeping live schedules synchronized.

Dynamic service and resource matching

The `list_services` tool provides your agent with exact durations, pricing, and assigned staff for every booking option. Your Gemini agent uses this data alongside `list_staff` to match customer requests with the right employee. When handling group events, the agent queries `list_classes` to manage capacity for workshops or training sessions. The Google ADK handles the transport, exposing these MCP tools to your model with minimal configuration.

Setup guide

Set up Picktime 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

Install Google ADK

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

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

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 Picktime 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="Picktime_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Picktime tools via MCP.",
    tools=mcp_tools,
)

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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 Picktime. 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 Picktime MCP in Google ADK

Install the package using `pip install google-adk` and set up `McpToolset` with your Vinkius HTTP URL. Pass this toolset to your `LlmAgent` to let Gemini call the scheduling tools.

Yes, you can use the optional `tool_names` filter in the `McpToolset` configuration. This lets you limit your agent to read-only tools like `list_services` and block write actions like `cancel_booking`.

Gemini queries `list_staff` to retrieve working hours, roles, and active statuses for your team. It combines this with `get_availability` to ensure it only books staff during their active, non-conflicting shifts.

Yes, the agent calls `list_classes` to retrieve active group sessions configured at your location. It reads capacity limits to ensure your Gemini agent never overbooks a workshop.

Your staff emails from `list_staff` and customer notes from `get_booking_details` are processed in ephemeral V8 isolates. Vinkius handles the MCP authentication securely, ensuring sensitive business details never persist in the hosting environment.

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