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RecruSpace MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Add Candidate, Create Talent Pool, Get Candidate Details, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect RecruSpace 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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Ask AI about this App Connector for Vercel AI SDK

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The RecruSpace app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
RecruSpace
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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 RecruSpace MCP Server

Connect your RecruSpace account to any AI agent to streamline your hiring and talent orchestration through natural conversation. RecruSpace provides a modern recruitment platform for programmatically managing candidates, organizing talent pools, and tracking job post statuses through its robust API.

The Vercel AI SDK gives every RecruSpace tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 & Applicant Orchestration — List all managed candidates and add new potential hires with detailed profile metadata programmatically.
  • Talent Pool Intelligence — Access and monitor your talent pools and create new collections to organize your recruitment pipeline directly from the AI interface.
  • Job Post Lifecycle Management — List all active job posts and retrieve detailed metadata to maintain a clear overview of your hiring needs via natural language.
  • Candidate Deep-Dive — Retrieve granular details for specific candidates to understand full context and qualification metrics.
  • Operational Monitoring — Track system activity and manage recruitment metadata using simple AI commands.

The RecruSpace MCP Server exposes 11 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 11 RecruSpace tools available for Vercel AI SDK

When Vercel AI SDK connects to RecruSpace through Vinkius, your AI agent gets direct access to every tool listed below — spanning recruspace, recruitment-api, hr-technology, 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.

add_candidate

Pass data as a JSON string. Add a new candidate

create_talent_pool

Create a new talent pool

get_candidate_details

Get specific candidate details

get_job

Get details for a specific job posting

get_talent_pool

Get details for a talent pool

list_candidates

List all candidates

list_interviews

List all scheduled interviews

list_jobs

List all job posts

list_pipelines

List all hiring pipelines

list_talent_pools

List all talent pools

update_candidate

Update candidate information

Connect RecruSpace to Vercel AI SDK via MCP

Follow these steps to wire RecruSpace into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from RecruSpace and passes them to the LLM

Why Use Vercel AI SDK with the RecruSpace MCP Server

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

03

Built-in streaming UI primitives let you display RecruSpace 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

RecruSpace + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for RecruSpace in Vercel AI SDK

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

01

"List all active candidates in RecruSpace."

02

"Show me all active job postings with their application counts and pipeline status."

03

"Add a new candidate to the talent pool for future engineering roles."

Troubleshooting RecruSpace MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

RecruSpace + Vercel AI SDK FAQ

Common questions about integrating RecruSpace 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.