How to Use the Everfit Coaching MCP in Claude

Q: How do I install the Everfit Coaching MCP Server on Claude Desktop?

Open your local claudedesktopconfig.json file and add the server configuration under the mcpServers key. After you restart Claude Desktop, the coaching tools will appear under the hammer icon in your chat window.

Q: How does the Everfit Coaching integration with Claude Desktop handle trainer assignments?

The server uses listcoachingtrainers to pull your staff directory directly into your desktop chat. Your agent can then cross-reference this list with active clients to check who is managing which athlete.

Q: What is the fastest way to check inactive clients in Claude Desktop?

You run listcurrentlyactiveclients to isolate everyone with an active status. Your agent can subtract this list from listcoachingclients to instantly find clients who have slipped through the cracks.

Manage your Everfit Coaching roster and track workout plans directly inside Claude Desktop without switching tabs.

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Connect Everfit Coaching MCP to Claude Desktop

Create your Vinkius account to connect Everfit Coaching to Claude Desktop 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 Claude Desktop

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Audit client volume and trainer loads in Claude Desktop

The `quick_coaching_volume_audit` tool gives your agent an immediate breakdown of active trainers and client distribution. This MCP Server exposes coaching bottlenecks so you can balance the roster across your Everfit staff. You also get immediate context on staff allocation by calling `list_coaching_trainers` alongside this audit. Instead of clicking through slow web dashboards, your agent formats these metrics in your Claude Desktop chat window to show which trainer has reached capacity.

Inspect workout plans and daily tasks

The `list_client_workout_plans` tool extracts assigned training routines for any specific client in your roster. Claude Desktop reads these plans to help you review split structures, exercise selections, and progression schemes. To check real-world compliance, your agent combines this with `list_client_daily_tasks` to see if clients actually check off their habits. You get a clear picture of client adherence inside Claude Desktop without manually digging through individual calendar days.

Track performance metrics and profiles

The `get_client_performance_metrics` tool pulls health data and training progress directly into your chat. Your agent uses these athletic metrics to spot strength plateaus or sudden drops in compliance. Pairing this with `get_client_detailed_profile` gives you the full background on a client's physical limitations and goals. Claude Desktop displays these details side-by-side using this secure MCP connection so you can make fast, data-backed coaching decisions.

Setup guide

Set up Everfit Coaching MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Everfit Coaching MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Everfit Coaching MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under everfit-coaching-mcp.

json

{
  "mcpServers": {
    "everfit-coaching-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Claude Desktop

Open your local claude_desktop_config.json file and add the server configuration under the mcpServers key. After you restart Claude Desktop, the coaching tools will appear under the hammer icon in your chat window.

This MCP Server focuses on read-only operations to protect your coaching data from accidental overwrites. You can use tools like `list_client_workout_plans` to review routines, but you must make edits inside the main platform.

The server uses `list_coaching_trainers` to pull your staff directory directly into your desktop chat. Your agent can then cross-reference this list with active clients to check who is managing which athlete.

You run `list_currently_active_clients` to isolate everyone with an active status. Your agent can subtract this list from `list_coaching_clients` to instantly find clients who have slipped through the cracks.

Your sensitive physical metrics and profile data stay local to your machine because Claude Desktop runs this MCP Server as a local subprocess. No coaching data is stored on external servers during these queries.

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