How do I set up my HaloPSA API credentials?

Log in as an Administrator, go to **Configuration > Integrations > Halo API**. In 'View Applications', create a new app with the 'Agent' login type and grant the necessary permissions. You will receive your Client ID and Client Secret there.

What are the Resource and Auth URLs?

The Resource URL is typically `https://your-tenant.halopsa.com/api` and the Auth URL is `https://your-tenant.halopsa.com/auth`. Replace 'your-tenant' with your actual HaloPSA instance name.

Can I perform actions on tickets, like changing status?

Yes! Use the `perform_ticket_action` tool by providing the ticket ID and the specific action ID configured in your Halo instance. You can also add an optional note.

Is the integration secure?

Yes, it uses industry-standard OAuth2 Client Credentials flow. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

HaloPSA MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Name: HaloPSA
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 11 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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

main();

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About HaloPSA MCP Server

Connect your HaloPSA instance to any AI agent and take full control of your service desk and PSA workflows through natural conversation.

The Vercel AI SDK gives every HaloPSA tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through the 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

Ticket Management — List all tickets, retrieve detailed information, and create new support requests effortlessly.
Client & User Oversight — Access lists of clients (customers) and users defined in your system to ensure data accuracy.
Asset Tracking — Monitor the hardware and software assets managed within HaloPSA.
Team Coordination — Browse your organizational teams and sites to facilitate better resource allocation.
Financial Insights — Retrieve lists of invoices and customer contracts for quick status checks.
Action Execution — Perform updates on tickets, add internal notes, or change statuses directly from the chat.

The HaloPSA MCP Server exposes 11 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 HaloPSA to Vercel AI SDK via MCP

Follow these steps to integrate the HaloPSA 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 11 tools from HaloPSA and passes them to the LLM

Why Use Vercel AI SDK with the HaloPSA MCP Server

Vercel AI SDK provides unique advantages when paired with HaloPSA 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 HaloPSA integration everywhere

Built-in streaming UI primitives let you display HaloPSA 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

HaloPSA + Vercel AI SDK Use Cases

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

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

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

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

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

HaloPSA MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect HaloPSA to Vercel AI SDK via MCP:

create_ticket

Create a new ticket in HaloPSA

get_ticket

Get detailed information about a specific ticket

list_assets

List all assets defined in HaloPSA

list_clients

List all clients (customers) in HaloPSA

list_contracts

List all customer contracts

list_invoices

List all invoices in HaloPSA

list_sites

List all sites/locations

list_teams

List all teams configured in the service desk

list_tickets

List all tickets in HaloPSA

list_users

List all users in the HaloPSA instance

perform_ticket_action

Perform an action on a ticket (e.g., add note, change status)

Example Prompts for HaloPSA in Vercel AI SDK

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

"List all open tickets assigned to me."

"Add an internal note to ticket ID 1021: 'Waiting for vendor feedback'."

"Show me the asset list for Client 'Acme Corp'."

Troubleshooting HaloPSA MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

HaloPSA + Vercel AI SDK FAQ

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

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.