How to Use the Everfit Coaching MCP in Cursor

Q: Can I use Everfit Coaching in Cursor to build custom client reporting tools?

Yes, you can write scripts that pull data via getclientperformancemetrics to generate custom progress reports. This MCP Server gives your coding agent direct access to the metrics needed for custom layouts.

Q: How do I list all available programs inside the Cursor workspace?

Your agent calls listcoachingprograms to fetch your template library. You can use this raw JSON payload to build search tools or template selectors inside your workspace.

Build fitness apps using real Everfit Coaching data injected directly into your Cursor editor.

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Connect Everfit Coaching MCP to Cursor

Create your Vinkius account to connect Everfit Coaching to Cursor 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 Cursor

Ask AI about this MCP

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Claude

Perplexity

Build real-time client dashboards in Cursor

The `list_currently_active_clients` tool retrieves your current roster of active athletes directly into your editor environment. Cursor uses this live dataset to generate accurate fitness UI components without relying on static mock objects. By combining this with `get_client_detailed_profile`, your agent writes code that handles actual profile structures. You see exactly how the Everfit data renders in your application layout as you write code in Cursor.

Audit your coaching business metrics

The `get_everfit_account_metadata` tool exposes your business limits and account tier details directly to your workspace. Cursor queries this tool to help you write rate-limiting logic and account validation checks for your fitness app. You can also call `quick_coaching_volume_audit` to test how your application handles high-volume trainer data. This lets you debug performance bottlenecks in your Cursor code using real-world numbers from your coaching organization.

Test workout logic with this MCP Server

The `list_client_workout_plans` tool feeds actual training routines directly into your Cursor chat. This custom MCP Server feeds actual training routines directly into your Cursor editor to test your parsing algorithms and custom workout builders. Your agent references `list_client_daily_tasks` to verify that your app correctly handles habit tracking and task completion states. Working with the actual schema eliminates the guesswork of coding against a blind Everfit API specification.

Setup guide

Set up Everfit Coaching MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Everfit Coaching MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Everfit Coaching transactions." If the MCP tools are loaded correctly, Cursor will call the Everfit Coaching tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

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 Cursor

Create a .cursor/mcp.json file in your project root and add this server under the mcpServers key. Once configured, enable Agent mode in the Cursor chat panel to start querying your coaching data.

Yes, you can write scripts that pull data via `get_client_performance_metrics` to generate custom progress reports. This MCP Server gives your coding agent direct access to the metrics needed for custom layouts.

Yes, the server runs locally on your machine, allowing Cursor to make secure requests to the API. You do not need to deploy any middleware to start writing code against your coaching database.

Your agent calls `list_coaching_programs` to fetch your template library. You can use this raw JSON payload to build search tools or template selectors inside your workspace.

The retrieved client profiles and workout plans are kept temporarily in your active editor memory. This MCP Server does not write any sensitive coaching data to disk or external databases.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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