Hurma MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Candidate, Create Leave Request, Export Overtimes, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hurma 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 Hurma app connector for Vercel AI SDK is a standout in the Productivity 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 Hurma, 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 Hurma MCP Server
Connect your Hurma instance to any AI agent and manage your HR operations through natural conversation.
The Vercel AI SDK gives every Hurma 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
- Recruiting Pipeline — List all candidates, inspect profiles, create new candidate records, and track hiring progress
- Employee Directory — Browse all employees with department and position details
- Time-Off Management — Monitor out-of-office schedules and leave requests
- Department Structure — Browse organizational departments
- Position Management — List all job positions
- Onboarding Tracking — Monitor new hire checklists and progress
The Hurma 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 Hurma tools available for Vercel AI SDK
When Vercel AI SDK connects to Hurma through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-directory, time-off-tracking, onboarding, 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.
Create a new candidate
Create a new leave or absence request
Export overtime data
Get details for a specific candidate
Get details for a specific employee
Get employee vacation balance
List recruitment candidates
List custom field definitions
List all company departments
List all employees
List employees currently out of office
List recruitment stages
Connect Hurma to Vercel AI SDK via MCP
Follow these steps to wire Hurma 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 Hurma MCP Server
Vercel AI SDK provides unique advantages when paired with Hurma 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 Hurma integration everywhere
Built-in streaming UI primitives let you display Hurma 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
Hurma + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Hurma MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Hurma in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Hurma tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Hurma capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Hurma through natural language queries
Example Prompts for Hurma in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hurma immediately.
"Show all candidates in the pipeline and employees out of office this week."
"List all employees in Engineering and create a new candidate for Senior Backend."
"Show onboarding status for new hires and all departments."
Troubleshooting Hurma MCP Server with Vercel AI SDK
Common issues when connecting Hurma to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHurma + Vercel AI SDK FAQ
Common questions about integrating Hurma 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.