How to Use the Calenso MCP in Google ADK

Q: How do I initialize Calenso tools in Google ADK?

Install the google-adk package and set up the MCP toolset with your Vinkius HTTP URL. Pass this toolset to your LlmAgent instance during setup. Your Gemini models will immediately see all eight scheduling tools.

Q: Can I restrict Google ADK to only read Calenso data?

Yes, you can use the optional tool names filter in the McpToolset configuration. Specify only listcalensoappointments and listcalensoservices to block write operations. This keeps your calendar safe from accidental edits.

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Connect Calenso MCP to Google ADK

Create your Vinkius account to connect Calenso 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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Setup Calenso with Google ADK

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Map Calenso branch services to Google ADK

This MCP Server exposes the `list_calenso_services` tool to list every service offered at your locations. Your Gemini model processes this list directly inside its large context window. Because Google ADK supports deep reasoning, the agent matches complex customer requests to the correct service code. You don't need to write custom parsing logic.

Query customer profiles alongside BigQuery data

The `list_calenso_customers` tool pulls active customer records to match them with your existing warehouse data. This lets your agent cross-reference CRM profiles with booking histories. You can feed these details directly into your Vertex AI pipeline. The agent checks if a customer exists before triggering other enterprise workflows.

Retrieve live booking details for Gemini agents

The `get_calenso_appointment` tool fetches specific booking records using their unique identifiers. Your agent uses this data to answer scheduling questions in real-time. If a user asks to modify a date, the agent calls `list_calenso_appointments` to show alternative slots. The long-context window keeps track of all options without dropping details.

Setup guide

Set up Calenso 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 Calenso 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="Calenso_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Calenso 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 Calenso. 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 Calenso MCP in Google ADK

Install the `google-adk` package and set up the MCP toolset with your Vinkius HTTP URL. Pass this toolset to your `LlmAgent` instance during setup. Your Gemini models will immediately see all eight scheduling tools.

Yes, you can use the optional tool names filter in the `McpToolset` configuration. Specify only `list_calenso_appointments` and `list_calenso_services` to block write operations. This keeps your calendar safe from accidental edits.

Gemini handles the clean JSON payloads returned by this server directly inside its million-token context window. This allows the model to compare months of scheduling data at once.

You can deploy your agent code to any containerized environment on Google Cloud. Since the connection to the MCP Server uses standard HTTP transport, firewalls won't block your booking traffic.

All calendar dates, staff assignments, and customer profiles handled by the MCP Server are processed in zero-trust, ephemeral environments. Vinkius handles the authorization tokens securely, so your database credentials never leak into the LLM context or Google Cloud logs.

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