Wizehire MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Create New Candidate, Get Candidate Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wizehire 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 App Connector for Vercel AI SDK
The Wizehire app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Wizehire, 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 Wizehire MCP Server
Connect your Wizehire hiring platform to any AI agent to streamline your recruitment lifecycle and candidate discovery. Wizehire provides a comprehensive ATS for managing applicant pipelines and assessments.
The Vercel AI SDK gives every Wizehire tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Orchestration — List applicants and retrieve detailed contact profiles with DISC+ assessment data.
- Job Oversight — Monitor active job postings and retrieve technical requirements and descriptions directly.
- Pipeline Automation — Move candidates between hiring stages like Interview or Hired via natural conversation.
- Team Management — List hiring team members and manage available recruitment stages programmatically.
- Workflow Intelligence — Get a comprehensive overview of your active hiring pipelines using natural language.
The Wizehire MCP Server exposes 12 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 12 Wizehire tools available for Vercel AI SDK
When Vercel AI SDK connects to Wizehire through Vinkius, your AI agent gets direct access to every tool listed below — spanning hiring-platform, candidate-tracking, job-postings, 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.
Verify Wizehire API connectivity
Requires name and email. Add a new candidate manually
Get details for a specific candidate
Get authenticated user profile
Get details for a specific job
List all active job openings
List all recruitment candidates
List active webhooks
List defined hiring stages
List hiring managers and team members
List business office locations
g., Interview, Hired). Move a candidate to a different stage
Connect Wizehire to Vercel AI SDK via MCP
Follow these steps to wire Wizehire into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Wizehire MCP Server
Vercel AI SDK provides unique advantages when paired with Wizehire 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 Wizehire integration everywhere
Built-in streaming UI primitives let you display Wizehire 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
Wizehire + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wizehire MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wizehire in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wizehire tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wizehire capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wizehire through natural language queries
Example Prompts for Wizehire in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wizehire immediately.
"List my active job postings in Wizehire."
"Show the latest candidates for the 'Sales Executive' role."
Troubleshooting Wizehire MCP Server with Vercel AI SDK
Common issues when connecting Wizehire to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWizehire + Vercel AI SDK FAQ
Common questions about integrating Wizehire 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.