2,500+ MCP servers ready to use
Vinkius

Humaans MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Humaans through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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

main();
Humaans
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Humaans MCP Server

Connect your AI agents to Humaans, the modern HRIS for global teams. This MCP server allows you to list and manage employees, track leave requests, view public holidays, and access organization data like teams, departments, and offices directly through the Humaans API. Ideal for automating HR operations and employee directory lookups.

The Vercel AI SDK gives every Humaans 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.

The Humaans 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 Humaans to Vercel AI SDK via MCP

Follow these steps to integrate the Humaans MCP Server with Vercel AI SDK.

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 10 tools from Humaans and passes them to the LLM

Why Use Vercel AI SDK with the Humaans MCP Server

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

03

Built-in streaming UI primitives let you display Humaans 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

Humaans + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Humaans MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Humaans to Vercel AI SDK via MCP:

01

get_employee

Retrieves details for a specific employee

02

get_me

Gets current authenticated user info

03

list_departments

Lists organization departments

04

list_documents

Lists company and employee documents

05

list_employees

Lists all employees

06

list_leaves

Lists employee leave requests

07

list_offices

Lists organization offices

08

list_public_holidays

Lists public holidays

09

list_roles

Lists job roles

10

list_teams

Lists organization teams

Example Prompts for Humaans in Vercel AI SDK

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

01

"List all employees in the London office."

02

"Who is currently on leave?"

03

"Show me the organization chart (teams and departments)."

Troubleshooting Humaans MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Humaans + Vercel AI SDK FAQ

Common questions about integrating Humaans 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.

Connect Humaans to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.