Timekit MCP Server for Google ADKGive Google ADK instant access to 11 tools to Cancel Booking, Check Availability, Confirm Booking, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Timekit as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Timekit app connector for Google ADK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="timekit_agent",
instruction=(
"You help users interact with Timekit "
"using 11 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Timekit MCP Server
Connect your Timekit account to any AI agent and simplify how you manage resource availability, booking workflows, and customer appointments through natural conversation.
Google ADK natively supports Timekit as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Resource Management — List all resources (people, rooms, equipment) and create new profiles to manage scheduling capacity.
- Booking Lifecycle — Create new bookings, confirm tentative requests, or decline/cancel existing appointments via AI.
- Availability Checking — Programmatically find available time slots for one or more resources based on specific date ranges and durations.
- Rescheduling — Easily move existing bookings to new time slots without manual dashboard entry.
- Workflow Control — Manage complex booking 'graphs' (instant, confirm_decline) directly from your workspace.
- Account Visibility — Retrieve detailed metadata for specific bookings and resources to stay on top of your schedule.
The Timekit MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Timekit tools available for Google ADK
When Google ADK connects to Timekit through Vinkius, your AI agent gets direct access to every tool listed below — spanning scheduling-api, resource-management, booking-system, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel a confirmed booking
Check availability for resources
Confirm a pending booking
Create a new booking
Create a new resource
Decline a pending booking
Get details for a specific booking
Get details for a specific resource
List all bookings
List all resources (people, rooms, etc.)
Reschedule an existing booking
Connect Timekit to Google ADK via MCP
Follow these steps to wire Timekit into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Timekit MCP Server
Google ADK provides unique advantages when paired with Timekit through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Timekit
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Timekit tools with BigQuery, Vertex AI, and Cloud Functions
Timekit + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Timekit MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Timekit and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Timekit tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Timekit regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Timekit
Example Prompts for Timekit in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Timekit immediately.
"List all resources available in my account."
"Find 30-minute slots for 'Alex Rivera' (ID: res_10293) for tomorrow afternoon."
"Confirm the tentative booking #88231."
Troubleshooting Timekit MCP Server with Google ADK
Common issues when connecting Timekit to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTimekit + Google ADK FAQ
Common questions about integrating Timekit MCP Server with Google ADK.