Everfit Coaching MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Everfit Coaching through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Everfit Coaching, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Everfit Coaching tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Everfit Coaching MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Everfit Coaching and passes them to the LLM
Why Use Vercel AI SDK with the Everfit Coaching MCP Server
Vercel AI SDK provides unique advantages when paired with Everfit Coaching through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Everfit Coaching integration everywhere
Built-in streaming UI primitives let you display Everfit Coaching tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Everfit Coaching + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Everfit Coaching MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Everfit Coaching in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Everfit Coaching tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Everfit Coaching capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Everfit Coaching through natural language queries
Everfit Coaching MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Everfit Coaching to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Everfit Coaching to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEverfit Coaching + Vercel AI SDK FAQ
Common questions about integrating Everfit Coaching MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Everfit Coaching with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Everfit Coaching to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.