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MaintainX MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MaintainX 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 MaintainX, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
MaintainX
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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 MaintainX MCP Server

Connect your MaintainX workspace to any AI agent to automate your maintenance operations and asset management. This MCP server enables your agent to list work orders, retrieve detailed asset metadata, update task statuses, and monitor facility locations directly from natural language interfaces.

The Vercel AI SDK gives every MaintainX tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Work Order Oversight — List all maintenance tasks and retrieve detailed statuses, priorities, and descriptions
  • Asset Management — Monitor equipment and machinery health by retrieving complete metadata and associated work orders
  • Status Automation — Update the progress of tasks (e.g., to 'Done' or 'In Progress') programmatically from your conversation
  • Facility Tracking — List and inspect physical sites and areas where your assets and team members reside
  • User Coordination — List team members and manage assignees for specific maintenance tasks effortlessly

The MaintainX MCP Server exposes 8 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 MaintainX to Vercel AI SDK via MCP

Follow these steps to integrate the MaintainX 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 8 tools from MaintainX and passes them to the LLM

Why Use Vercel AI SDK with the MaintainX MCP Server

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

03

Built-in streaming UI primitives let you display MaintainX 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

MaintainX + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

MaintainX MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect MaintainX to Vercel AI SDK via MCP:

01

create_new_work_order

Requires title. Create a new maintenance work order

02

get_asset_details

Get metadata for a specific asset

03

get_work_order_details

Get details for a specific work order

04

list_facility_locations

List facility locations

05

list_maintenance_assets

List all physical assets and equipment

06

list_maintenance_orders

Use optional params for filtering. List all work orders

07

list_team_members

List all users in the MaintainX account

08

update_work_order_status

g., "DONE", "IN_PROGRESS"). Change the status of a work order

Example Prompts for MaintainX in Vercel AI SDK

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

01

"List all open work orders in MaintainX."

02

"Update the status of work order ID '123' to 'DONE'."

03

"Show details for the asset with ID 'asset-abc'."

Troubleshooting MaintainX MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MaintainX + Vercel AI SDK FAQ

Common questions about integrating MaintainX 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 MaintainX to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.