Qualified.io MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 20 tools to Archive Assessment, Cancel Invitation, Create Assessment, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Qualified.io through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Qualified.io MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 20 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Qualified.io, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Qualified.io MCP Server
Connect your Qualified.io account to any AI agent to streamline your technical recruitment and engineering assessment workflows through natural conversation.
The Vercel AI SDK gives every Qualified.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 20 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
- Assessment Management — List, create, and manage the lifecycle of your coding assessments, including publishing and archiving.
- Candidate Invitations — Send assessment invitations to candidates and manage active invites directly through the API.
- Result Tracking — Retrieve detailed assessment results and streamlined exhibits to evaluate candidate performance instantly.
- Lifecycle Control — Terminate active results or schedule retries for candidates who need another attempt.
- Cohort Analysis — List and organize assessment cohorts to manage groups of candidates effectively.
The Qualified.io MCP Server exposes 20 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 20 Qualified.io tools available for Vercel AI SDK
When Vercel AI SDK connects to Qualified.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning technical-assessment, coding-tests, hiring-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Archive assessment on Qualified.io
Archive an assessment
Cancel invitation on Qualified.io
Cancel an assessment invitation
Create assessment on Qualified.io
Create a new assessment
Create assessment result review on Qualified.io
Create a review for an assessment result
Get assessment on Qualified.io
Retrieve a specific assessment
Get assessment result on Qualified.io
Retrieve a specific assessment result
Get assessment result exhibit on Qualified.io
Retrieve streamlined exhibit data for an assessment result
Get challenge on Qualified.io
Retrieve a specific challenge
Invite candidates on Qualified.io
Invite candidates to take an assessment
Invite candidates via cohort on Qualified.io
Invite candidates via a cohort
List assessment cohorts on Qualified.io
List assessment cohorts
List assessment results on Qualified.io
List assessment results
List assessments on Qualified.io
List assessments
List challenges on Qualified.io
List challenges
Publish assessment on Qualified.io
Publish an assessment
Schedule retry assessment result on Qualified.io
Schedule a retry (reopen/retake) for an assessment result
Terminate assessment result on Qualified.io
Terminate an assessment result
Unarchive assessment on Qualified.io
Unarchive an assessment
Unpublish assessment on Qualified.io
Unpublish an assessment
Update assessment result review on Qualified.io
Update a review for an assessment result
Connect Qualified.io to Vercel AI SDK via MCP
Follow these steps to wire Qualified.io into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Qualified.io MCP Server
Vercel AI SDK provides unique advantages when paired with Qualified.io 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 Qualified.io integration everywhere
Built-in streaming UI primitives let you display Qualified.io 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
Qualified.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Qualified.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Qualified.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Qualified.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Qualified.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Qualified.io through natural language queries
Example Prompts for Qualified.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Qualified.io immediately.
"List all active assessments and their IDs."
"Invite candidate 'John Doe' (john@example.com) to the 'Senior Fullstack' assessment."
"Show me the performance exhibit for result ID res_555."
Troubleshooting Qualified.io MCP Server with Vercel AI SDK
Common issues when connecting Qualified.io to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpQualified.io + Vercel AI SDK FAQ
Common questions about integrating Qualified.io MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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