How to Use the Mindbody MCP in Google ADK

Q: How do I connect my Mindbody studio data to Google ADK?

Install the library and define an McpToolset pointing to your Vinkius HTTP URL to let your Google ADK agent call Mindbody tools.

Q: Can Google ADK analyze Mindbody retail inventory?

Yes, your Google ADK agent can call listproducts to check Mindbody inventory counts and pricing.

Q: How do I manage multiple studio locations using Mindbody and Google ADK?

Your Google ADK agent runs listlocations to pull operational hours and tax rates for each Mindbody site.

Q: Can I limit which Mindbody tools the Google ADK agent can access?

Yes, you can use the toolnames filter in the Google ADK configuration to expose only specific Mindbody tools.

Q: How is my Mindbody sales transaction data protected in Google ADK?

All calls to listsales are executed inside an ephemeral V8 sandbox, ensuring your Mindbody financial records are never cached or exposed during Google ADK operations.

Connect Mindbody to BigQuery and Vertex AI using the Google ADK to analyze studio operations with long-context Gemini models.

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Connect Mindbody MCP to Google ADK

Create your Vinkius account to connect Mindbody 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 Mindbody with Google ADK

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High-volume Mindbody sales analysis via Google ADK

`list_sales` retrieves transaction records that you can feed directly into your Google ADK pipeline to analyze Mindbody revenue. By combining this tool with Google ADK, your Gemini agent can analyze months of Mindbody sales transactions alongside your BigQuery datasets. You expose this Mindbody data by passing the `McpToolset` directly into your Google ADK `LlmAgent`. The long-context window of Google ADK allows the agent to process thousands of Mindbody sales lines at once.

Google ADK class optimization using MCP Server tools

`list_class_schedules` maps out your weekly studio cadence across all Mindbody locations using the Google ADK. Your Google ADK agent uses this tool alongside `list_locations` to compare Mindbody attendance rates between different neighborhoods. This MCP Server handles the complex Mindbody API authorization behind a single Vinkius token for your Google ADK. Your Python code stays clean, focusing entirely on running Mindbody optimization models on Vertex AI using the Google ADK.

Google ADK client profile mapping for Mindbody

`get_client_history` extracts deep behavioral data for your entire Mindbody membership base directly into your Google ADK environment. Because Google ADK supports Gemini's massive context window, your agent can ingest years of Mindbody attendance logs in a single run. You can restrict which Mindbody tools are exposed to the Google ADK agent using the `tool_names` filter. This prevents your Google ADK agent from accessing sensitive Mindbody financial tools when it only needs attendance data.

Setup guide

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

Install the library and define an `McpToolset` pointing to your Vinkius HTTP URL to let your Google ADK agent call Mindbody tools.

Yes, your Google ADK agent can call `list_products` to check Mindbody inventory counts and pricing.

Your Google ADK agent runs `list_locations` to pull operational hours and tax rates for each Mindbody site.

Yes, you can use the `tool_names` filter in the Google ADK configuration to expose only specific Mindbody tools.

All calls to `list_sales` are executed inside an ephemeral V8 sandbox, ensuring your Mindbody financial records are never cached or exposed during Google ADK operations.

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