How to Use the Everfit Coaching MCP in Google ADK

Q: How do I configure the Everfit Coaching MCP Server with Google ADK?

You define a standard HTTP toolset using McpToolset in Google ADK and pass the Everfit Coaching server URL. Your Google ADK agent will auto-discover all ten MCP tools immediately.

Q: Can Google ADK agents filter which Everfit Coaching tools are exposed?

Yes, you can use the toolnames parameter in Google ADK to restrict your agent's access to Everfit Coaching tools. For instance, you can expose only listclientdailytasks if you only want to track habits.

Q: How can my Google ADK agent check if my Everfit Coaching limits are reached?

Your Google ADK agent can call geteverfitaccountmetadata to check current Everfit limits. This prevents your Google ADK pipeline from failing due to subscription caps.

Feed Everfit Coaching data into Google ADK to analyze client performance alongside your enterprise data in BigQuery.

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Connect Everfit Coaching MCP to Google ADK

Create your Vinkius account to connect Everfit Coaching 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 Everfit Coaching with Google ADK

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Analyze Everfit Trainer Allocation in Google ADK

The `list_coaching_trainers` tool lets your Google ADK agent pull organizational staff rosters directly into your Google Cloud environment. This makes it easy to map Everfit trainer performance against business outcomes stored in BigQuery. Your Google ADK Gemini models can combine this staff data with `quick_coaching_volume_audit` to see how trainer allocation impacts client retention. It gives you a clear picture of Everfit staff efficiency without manual data exports.

Track Everfit Metrics via Google ADK MCP Server

The `get_client_performance_metrics` tool exposes Everfit client health and workout data directly to your Google ADK agent. This lets your long-context Gemini models analyze weeks of Everfit fitness trends in a single reasoning loop. You can also call `get_client_detailed_profile` to pull specific Everfit client goals and physical baselines into Google ADK. Your Google ADK agent can run deep-dive analyses on this data to flag clients who are falling behind.

Audit Everfit Workouts with Google ADK

The `list_client_workout_plans` tool gives your Google ADK agent access to assigned routines for any active Everfit client. This lets your Google ADK agent check if the assigned workouts match the client's overall training goals. By querying `list_coaching_programs`, your Google ADK agent can compare individual client plans against your official coaching templates. It helps you ensure brand consistency across all your active Everfit trainers.

Setup guide

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

You define a standard HTTP toolset using `McpToolset` in Google ADK and pass the Everfit Coaching server URL. Your Google ADK agent will auto-discover all ten MCP tools immediately.

Yes, you can use the `tool_names` parameter in Google ADK to restrict your agent's access to Everfit Coaching tools. For instance, you can expose only `list_client_daily_tasks` if you only want to track habits.

Yes, this Everfit Coaching integration with Google ADK supports both Stdio and Streamable HTTP transports. You can choose the transport that fits your Google ADK cloud deployment architecture.

Your Google ADK agent can call `get_everfit_account_metadata` to check current Everfit limits. This prevents your Google ADK pipeline from failing due to subscription caps.

All client detailed profiles and workout plans are transmitted through encrypted HTTPS connections managed by Vinkius for Google ADK. No Everfit fitness data is stored on our servers, keeping client records private.

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