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EasyPractice MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EasyPractice through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 EasyPractice, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
EasyPractice
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* 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 EasyPractice MCP Server

Integrate EasyPractice, the leading clinic management platform for therapists and practitioners, directly into your AI workflow. Manage your appointments and session schedules, track client profiles and interaction history, monitor clinic invoices and payment statuses, and oversee your services and pricing using natural language.

The Vercel AI SDK gives every EasyPractice 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

  • Appointment Oversight — List and retrieve detailed information and start times for all your clinic sessions.
  • Client Intelligence — Monitor client profiles, contact details, and appointment history across your practice.
  • Financial Monitoring — Track clinic invoices, total amounts, and payment statuses to ensure efficient billing.
  • Service Management — Access the service catalog to retrieve structural metadata, resolving session types and pricing tiers.

The EasyPractice 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 EasyPractice to Vercel AI SDK via MCP

Follow these steps to integrate the EasyPractice MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from EasyPractice and passes them to the LLM

Why Use Vercel AI SDK with the EasyPractice MCP Server

Vercel AI SDK provides unique advantages when paired with EasyPractice through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same EasyPractice integration everywhere

03

Built-in streaming UI primitives let you display EasyPractice tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

EasyPractice + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the EasyPractice MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query EasyPractice in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate EasyPractice tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed EasyPractice capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with EasyPractice through natural language queries

EasyPractice MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect EasyPractice to Vercel AI SDK via MCP:

01

get_appointment_details

Get detailed information for a specific appointment

02

get_client_details

Get detailed profile and appointment history for a specific client

03

get_easypractice_account_metadata

Retrieve metadata and usage limits for your EasyPractice account

04

list_clinic_appointments

List all scheduled appointments in your clinic

05

list_clinic_clients

List all clients registered in your EasyPractice clinic

06

list_clinic_invoices

List all invoices issued by your clinic

07

list_clinic_services

List all services and session types offered by your clinic

08

list_latest_appointments

Identify the most recently updated or scheduled appointments

09

quick_clinic_volume_audit

Retrieve a high-level summary of client and appointment activity

10

search_clinic_clients

Search for clients using a name or email keyword

Example Prompts for EasyPractice in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EasyPractice immediately.

01

"List all appointments for tomorrow."

02

"Show me the details for client 'John Doe'."

03

"Are there any unpaid invoices in the system?"

Troubleshooting EasyPractice MCP Server with Vercel AI SDK

Common issues when connecting EasyPractice to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

EasyPractice + Vercel AI SDK FAQ

Common questions about integrating EasyPractice MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect EasyPractice to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.