HRBlade MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Interview, Get Candidate Details, List Candidates, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HRBlade 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 HRBlade app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 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 HRBlade, 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 HRBlade MCP Server
Connect your HRBlade account to any AI agent and manage asynchronous video interviews through natural conversation.
The Vercel AI SDK gives every HRBlade tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Interview Templates — List all interview templates and create new ones with custom questions, time limits, and instructions
- Candidate Invitations — Send video interview invitations to candidates by email with personalized details
- Candidate Management — Browse all candidates in your pipeline and inspect individual profiles with status
- Response Review — List all submitted video responses to review candidate answers and evaluate performance
The HRBlade MCP Server exposes 6 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 6 HRBlade tools available for Vercel AI SDK
When Vercel AI SDK connects to HRBlade through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-interviewing, candidate-screening, hiring-pipeline, 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.
Pass data as a JSON string. Create a new interview template
Get specific candidate details
List all recruiting candidates
List all candidate video responses
List all interview templates
Pass data as a JSON string. Send an invitation to a candidate
Connect HRBlade to Vercel AI SDK via MCP
Follow these steps to wire HRBlade 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 HRBlade MCP Server
Vercel AI SDK provides unique advantages when paired with HRBlade 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 HRBlade integration everywhere
Built-in streaming UI primitives let you display HRBlade 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
HRBlade + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the HRBlade MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query HRBlade in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate HRBlade tools and return structured JSON responses to any frontend
Chatbots with tool use: embed HRBlade capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with HRBlade through natural language queries
Example Prompts for HRBlade in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with HRBlade immediately.
"Create a 'Senior Developer' interview with 3 technical questions and send it to 2 candidates."
"Show all candidates in my pipeline and the latest video responses."
"List all interview templates and show which ones have pending responses to review."
Troubleshooting HRBlade MCP Server with Vercel AI SDK
Common issues when connecting HRBlade to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHRBlade + Vercel AI SDK FAQ
Common questions about integrating HRBlade 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.