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MPU-Manager MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Mpumanager Status, Create Appointment, Create Case, and more

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The MPU-Manager app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 MPU-Manager, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
MPU-Manager
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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 MPU-Manager MCP Server

Connect your MPU-Manager account to any AI agent and take full control of your medical-psychological assessment (MPU) orchestration and automated case management through natural conversation.

The Vercel AI SDK gives every MPU-Manager 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 Case Orchestration — List and manage your entire database of client files programmatically, retrieving detailed case metadata and legal statuses
  • Appointment & Schedule Intelligence — Programmatically query and monitor assessment appointments to maintain a perfectly coordinated audit trail for your clinic
  • Assessment Architecture Monitoring — Access real-time status updates for ongoing MPU cases and track document submission progress directly through your agent
  • Metadata Management — Programmatically retrieve client identifiers and case history to maintain a perfectly coordinated digital archive
  • Operational Monitoring — Verify account-level API connectivity and monitor case management volume directly through your agent for perfectly coordinated service scaling

The MPU-Manager 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.

All 10 MPU-Manager tools available for Vercel AI SDK

When Vercel AI SDK connects to MPU-Manager through Vinkius, your AI agent gets direct access to every tool listed below — spanning medical-assessment, case-management, appointment-scheduling, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_mpumanager_status

Verify MPU Manager API connectivity

create_appointment

Schedule an appointment

create_case

Create a new case

get_appointment

Get appointment details

get_case

Get case details

get_client

Get client details

list_appointments

List all appointments

list_cases

List all cases

list_clients

List all clients

list_reports

List case reports

Connect MPU-Manager to Vercel AI SDK via MCP

Follow these steps to wire MPU-Manager into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 MPU-Manager and passes them to the LLM

Why Use Vercel AI SDK with the MPU-Manager MCP Server

Vercel AI SDK provides unique advantages when paired with MPU-Manager 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 MPU-Manager integration everywhere

03

Built-in streaming UI primitives let you display MPU-Manager 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

MPU-Manager + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the MPU-Manager MCP Server delivers measurable value.

01

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

02

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

03

Chatbots with tool use: embed MPU-Manager capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with MPU-Manager through natural language queries

Example Prompts for MPU-Manager in Vercel AI SDK

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

01

"Show all active cases in my account."

02

"Schedule an appointment for case #4821 next Monday at 10am."

03

"List all clients registered in my account."

Troubleshooting MPU-Manager MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MPU-Manager + Vercel AI SDK FAQ

Common questions about integrating MPU-Manager 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.