DevSkiller MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DevSkiller through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 DevSkiller, 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 DevSkiller MCP Server
Integrate DevSkiller, the technical screening and talent assessment platform, directly into your AI workflow. Manage your candidate pipeline, send test invitations, and retrieve detailed assessment reports and skill scores using natural language.
The Vercel AI SDK gives every DevSkiller 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
- Candidate Oversight — List and search for candidates in your database and monitor their current assessment status.
- Test Management — Access your library of available technical tests, coding tasks, and quizzes.
- Invitation Tracking — Monitor sent test invitations and track candidate progress in real-time.
- Performance Analytics — Retrieve full assessment reports with granular skill scores and performance metrics.
The DevSkiller 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 DevSkiller to Vercel AI SDK via MCP
Follow these steps to integrate the DevSkiller 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 10 tools from DevSkiller and passes them to the LLM
Why Use Vercel AI SDK with the DevSkiller MCP Server
Vercel AI SDK provides unique advantages when paired with DevSkiller 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 DevSkiller integration everywhere
Built-in streaming UI primitives let you display DevSkiller 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
DevSkiller + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DevSkiller MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DevSkiller in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DevSkiller tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DevSkiller capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DevSkiller through natural language queries
DevSkiller MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DevSkiller to Vercel AI SDK via MCP:
get_account_metadata
Retrieve metadata and limits for your DevSkiller account
get_candidate_assessment_report
Retrieve the full assessment report for a candidate
get_candidate_profile
Get detailed information for a specific candidate
invite_candidate_to_test
Send a new test invitation to a candidate
list_assessment_candidates
List all candidates in your DevSkiller account
list_available_tests
List all assessment tests configured in your catalog
list_high_score_candidates
Identify candidates who achieved a score above a specific threshold
list_recently_sent_invitations
List test invitations sent in the last 24 hours
list_test_invitations
List all sent test invitations and their current status
search_candidates_by_identity
Search for a candidate by name or email keyword
Example Prompts for DevSkiller in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DevSkiller immediately.
"List all candidates who scored above 85% in recent tests."
"Show me the assessment status for candidate 'john.doe@example.com'."
"Invite 'Sarah Smith' (sarah@example.com) to the 'Frontend React' test."
Troubleshooting DevSkiller MCP Server with Vercel AI SDK
Common issues when connecting DevSkiller to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDevSkiller + Vercel AI SDK FAQ
Common questions about integrating DevSkiller 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.Connect DevSkiller with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DevSkiller to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.