How to Use the Vagaro MCP in Google ADK
Manage your salon operation with Vagaro using Google ADK's enterprise power.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vagaro MCP to Google ADK
Create your Vinkius account to connect Vagaro 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.
Retrieve specific client and business details.
Start by running `get_client` to get a full profile for any customer. You can also pull general site info with the `get_business_info` tool, giving your agent context about your physical location. Need an overview? The `search_clients` tool finds contact details and visit history fast, letting you talk to customers like a pro.
Manage staff scheduling and availability.
The `get_staff_schedule` tool shows both booked slots and open times for your team. If you need to see what's happening on one day, just use `list_appointments`. It also lets your agent run `list_staff`. This gives a comprehensive view of every provider, their specialty areas, and if they’re available right now.
List all services, products, and classes.
Use `list_services` to get details on everything you offer, including pricing and how long the treatments take. Your agent can build a menu from this list. Want to check stock? The `list_products` tool provides names, prices, brands, and current inventory levels for your retail items.
Set up Vagaro 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 Vagaro 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="Vagaro_agent",
model="gemini-2.0-flash",
instruction="You have access to Vagaro 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 Vagaro. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vagaro MCP in Google ADK
Use it with your favorite AI tools
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Start using the Vagaro MCP today
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