How do I get an Everfit API Key?

Log in to your Everfit Business dashboard, navigate to **Settings > API Integration**, and you can generate or retrieve your unique **API Key** from there. API access usually requires a specific coaching plan.

Can the agent update workout results?

This integration currently focuses on listing and auditing clients, workouts, and tasks. Logging actual workout results (reps, weight) or completing tasks should be managed via the Everfit mobile app by the client or trainer.

Does the integration show real-time activity?

Yes, you can use the list_client_daily_tasks and get_client_performance_metrics tools to retrieve the latest recorded data and completion status for any client.

Everfit Coaching MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Everfit Coaching
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Everfit Coaching and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Everfit Coaching MCP Server

Integrate Everfit, the leading software platform for fitness coaches and personal trainers, directly into your AI workflow. Manage your client database and profile details, track workout plans and session completions, monitor daily tasks and habit tracking, and oversee your coaching operation using natural language.

Cursor's Agent mode turns Everfit Coaching into an in-editor superpower. Ask Cursor to generate code using live data from Everfit Coaching and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Client Oversight — List and retrieve detailed profiles, fitness metrics, and subscription status for all your coaching clients.
Workout Intelligence — Monitor assigned workout plans and routines, resolving exercise lists and real-time completion statuses.
Habit Management — Access and monitor daily tasks and habit tracking, ensuring your clients stay on track with their wellness goals.
Coaching Auditing — Retrieve high-level summaries of client volume, program diversity, and organizational coaching health instantly.

The Everfit Coaching MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Everfit Coaching to Cursor via MCP

Follow these steps to integrate the Everfit Coaching MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Everfit Coaching

Open Agent mode in chat and ask: "Using Everfit Coaching, help me...". 10 tools available

Why Use Cursor with the Everfit Coaching MCP Server

Cursor AI Code Editor provides unique advantages when paired with Everfit Coaching through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Everfit Coaching + Cursor Use Cases

Practical scenarios where Cursor combined with the Everfit Coaching MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Everfit Coaching MCP Tools for Cursor (10)

These 10 tools become available when you connect Everfit Coaching to Cursor via MCP:

get_client_detailed_profile

Get detailed profile and fitness metrics for a specific client

get_client_performance_metrics

Get high-level performance and health metrics for a client

get_everfit_account_metadata

Retrieve metadata and limits for your Everfit business account

list_client_daily_tasks

List all daily tasks and habit tracking for a specific client

list_client_workout_plans

List all workout plans and assigned routines for a specific client

list_coaching_clients

List all clients managed in your Everfit coaching account

list_coaching_programs

List all coaching programs and templates available in your account

list_coaching_trainers

List all trainers and coaching staff in your organization

list_currently_active_clients

Identify clients who are currently in an "Active" coaching status

quick_coaching_volume_audit

Retrieve a high-level summary of clients, programs, and active trainers

Example Prompts for Everfit Coaching in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Everfit Coaching immediately.

"List all active coaching clients."

"Show me the workout plan for 'Alice Connor'."

"What are the performance metrics for client ID 'CUST-12345'?"

Troubleshooting Everfit Coaching MCP Server with Cursor

Common issues when connecting Everfit Coaching to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Everfit Coaching + Cursor FAQ

Common questions about integrating Everfit Coaching MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.