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ServiceM8 MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Job, Get Company, Get Job, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ServiceM8 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

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The ServiceM8 app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 9 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 ServiceM8, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About ServiceM8 MCP Server

Connect your ServiceM8 account to any AI agent and take full control of your field service management workflows through natural conversation. ServiceM8 is the ultimate platform for trade and service businesses, and this integration allows you to orchestrate jobs, coordinate staff, and manage client relations without leaving your chat interface.

The Vercel AI SDK gives every ServiceM8 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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

  • Job & Task Orchestration — List all managed jobs and retrieve detailed metadata, including status and scheduled times programmatically.
  • Staff & Team Coordination — Access and monitor your staff directory to maintain a clear overview of team assignments and availability directly from the AI interface.
  • Client CRM Control — List and search through your client and contact database to keep your professional records synchronized via natural language.
  • Job Activity Tracking — Access real-time activity logs for specific jobs to monitor progress and ensuring high-quality service delivery.
  • Operational Monitoring — Track job categories and manage system metadata to ensure your field service operations are always optimized.

The ServiceM8 MCP Server exposes 9 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 9 ServiceM8 tools available for Vercel AI SDK

When Vercel AI SDK connects to ServiceM8 through Vinkius, your AI agent gets direct access to every tool listed below — spanning job-scheduling, work-orders, field-operations, 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.

create_job

Requires description and company_uuid. Create a new ServiceM8 job

get_company

Get details for a specific company

get_job

Get details for a specific job

list_categories

List job categories

list_companies

List all companies (clients)

list_contacts

List all company contacts

list_job_activity

Get activity history for a job

list_jobs

List all ServiceM8 jobs

list_staff

List ServiceM8 staff members

Connect ServiceM8 to Vercel AI SDK via MCP

Follow these steps to wire ServiceM8 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 9 tools from ServiceM8 and passes them to the LLM

Why Use Vercel AI SDK with the ServiceM8 MCP Server

Vercel AI SDK provides unique advantages when paired with ServiceM8 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 ServiceM8 integration everywhere

03

Built-in streaming UI primitives let you display ServiceM8 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

ServiceM8 + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the ServiceM8 MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query ServiceM8 in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate ServiceM8 tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed ServiceM8 capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with ServiceM8 through natural language queries

Example Prompts for ServiceM8 in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ServiceM8 immediately.

01

"List all our active jobs on ServiceM8."

02

"Show me all staff members in the organization."

03

"Fetch the activity history for job UUID 550e8400-e29b-41d4-a716-446655440000."

Troubleshooting ServiceM8 MCP Server with Vercel AI SDK

Common issues when connecting ServiceM8 to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ServiceM8 + Vercel AI SDK FAQ

Common questions about integrating ServiceM8 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.