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

main();
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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 Perfecto MCP Server

Control quality testing automation instances seamlessly connecting LLM parameters directly bounding your Perfecto Cloud. Retrieve precise matrix tracking devices explicitly parsing metadata, lookup explicitly bounded execution logs driving advanced tracking boundaries securely seamlessly efficiently. Automate evaluation boundaries querying Smart Reporting natively natively analyzing testing matrices confidently bypassing manual legacy UI navigation.

The Vercel AI SDK gives every Perfecto 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

  • Device State Discovery — Explore testing grids tracking device topologies fetching available Android/iOS instances tracking native limits gracefully
  • Execution Diagnostics — Evaluate structural loops mapping testing histories checking bounds isolating failed loops parsing native status parameters perfectly
  • Repository Traceability — Read explicit bounds searching exact artifacts tracking storage buckets safely seamlessly verifying native dependencies natively
  • Smart Reporting Audits — Extract logical limits processing advanced JSON outputs mapping comprehensive test validations checking explicit step counts confidently

The Perfecto 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 Perfecto to Vercel AI SDK via MCP

Follow these steps to integrate the Perfecto 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 Perfecto and passes them to the LLM

Why Use Vercel AI SDK with the Perfecto MCP Server

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

03

Built-in streaming UI primitives let you display Perfecto 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

Perfecto + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Perfecto MCP Tools for Vercel AI SDK (10)

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

01

get_device_details

Get full details of a Perfecto device including model, OS, firmware, manufacturer, resolution, location, and current status

02

get_execution_details

Get status of a Perfecto execution by ID. Returns status, progress, device assignments, and timestamps

03

get_license_info

Get Perfecto license information. Returns license type, device limits, concurrent executions, and expiration

04

get_report_summary

Get Smart Reporting summary for a Perfecto execution. Returns test results, pass/fail counts, video/screenshot links, and detailed step data

05

list_artifacts

List artifacts in Perfecto repository at a given path. Includes apps, scripts, images, and data files

06

list_device_groups

List device groups on Perfecto. Groups organize devices by type/OS/team. Returns group names and member devices

07

list_devices

List all available devices on Perfecto Cloud. Perfecto (by Perforce) is an enterprise mobile and web testing cloud with real devices and browsers. Returns device IDs, models, OS versions, manufacturers, locations, and availability statuses

08

list_executions

List current/recent executions on Perfecto. Returns execution IDs, statuses, script names, devices used, and timestamps

09

list_reservations

List device reservations on Perfecto. Returns reservation IDs, devices, users, start/end times

10

list_users

List all users on the Perfecto cloud. Returns usernames, roles, emails, and access levels

Example Prompts for Perfecto in Vercel AI SDK

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

01

"Check matrices explicitly parsing structural targets querying `list_devices` globally discovering bounded limits seamlessly tracking iPhones safely."

02

"Execute validation tracking executions fetching deeply the report natively checking explicit execution ID 'exe_909' bounds accurately gracefully carefully natively."

Troubleshooting Perfecto MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Perfecto + Vercel AI SDK FAQ

Common questions about integrating Perfecto 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 Perfecto to Vercel AI SDK

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