Moka HR MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Moka HR through the 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Moka HR, 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 Moka HR MCP Server
Empower your AI agent to orchestrate your recruitment lifecycle with Moka HR, the premier applicant tracking system for modern high-growth companies. By connecting Moka to your agent, you transform complex candidate tracking, job management, and interview coordination into a natural conversation. Your agent can instantly list open positions, retrieve candidate profiles, monitor interview schedules, and even provide recruitment summaries without you needing to navigate the complex Moka dashboard. Whether you are a hiring manager or a recruiter, your agent acts as a real-time talent assistant, keeping your hiring pipeline organized and your recruitment process efficient.
The Vercel AI SDK gives every Moka HR tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Job Orchestration — List all active job postings and retrieve detailed requirements for any position.
- Candidate Management — Browse recruitment pipelines and manage candidate profiles, including contact details and history.
- Interview Tracking — Monitor scheduled interviews and retrieve session details instantly.
- Application Control — Manage the relationship between candidates and specific job applications.
- Hiring Insights — Retrieve high-level summaries of recruitment activity and pipeline statistics.
The Moka HR 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 Moka HR to Vercel AI SDK via MCP
Follow these steps to integrate the Moka HR MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Moka HR and passes them to the LLM
Why Use Vercel AI SDK with the Moka HR MCP Server
Vercel AI SDK provides unique advantages when paired with Moka HR 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 Moka HR integration everywhere
Built-in streaming UI primitives let you display Moka HR 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
Moka HR + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Moka HR MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Moka HR in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Moka HR tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Moka HR capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Moka HR through natural language queries
Moka HR MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Moka HR to Vercel AI SDK via MCP:
create_candidate
Add new candidate
get_application
Get application details
get_candidate
Get candidate details
get_hiring_summary
Get recruitment summary
get_interview
Get interview details
get_job
Get job details
list_applications
List job applications
list_candidates
List candidates
list_interviews
List scheduled interviews
list_jobs
List open job positions
Example Prompts for Moka HR in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Moka HR immediately.
"List all open job positions in our organization."
"Show me the recruitment pipeline for candidate 'Mario'."
"Get a summary of our hiring activity for this month."
Troubleshooting Moka HR MCP Server with Vercel AI SDK
Common issues when connecting Moka HR to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMoka HR + Vercel AI SDK FAQ
Common questions about integrating Moka HR 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.Connect Moka HR with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Moka HR to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.