Breezy 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 Breezy HR 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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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 Breezy 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 Breezy HR MCP Server
Connect your Breezy HR account to any AI agent and orchestrate your hiring and candidate management workflows through natural conversation.
The Vercel AI SDK gives every Breezy HR 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.
What you can do
- Position Oversight — List and retrieve detailed metadata for all your active and draft job positions.
- Candidate Management — Create new candidate profiles, move them through your pipeline, and retrieve full applicant histories.
- Pipeline Coordination — List and monitor stages for specific positions to ensure a smooth hiring flow.
- Administrative Access — Retrieve company information and task templates straight from your workspace.
The Breezy 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 Breezy HR to Vercel AI SDK via MCP
Follow these steps to integrate the Breezy 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 Breezy HR and passes them to the LLM
Why Use Vercel AI SDK with the Breezy HR MCP Server
Vercel AI SDK provides unique advantages when paired with Breezy 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 Breezy HR integration everywhere
Built-in streaming UI primitives let you display Breezy 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
Breezy HR + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Breezy HR MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Breezy HR in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Breezy HR tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Breezy HR capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Breezy HR through natural language queries
Breezy HR MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Breezy HR to Vercel AI SDK via MCP:
create_candidate
Add a candidate to a position
create_position
Create a new job position
get_candidate
Get specific candidate details
get_company
Get details of the authenticated company
get_position
Get details of a specific position
list_candidates
List candidates for a specific position
list_positions
List all job positions
list_stages
List pipeline stages for a position
list_task_templates
List available task templates
move_candidate
Move a candidate to a different pipeline stage
Example Prompts for Breezy HR in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Breezy HR immediately.
"List all active job positions in Breezy HR."
"Show the candidates for the 'Senior Developer' role."
"Move candidate cand_123 to the 'Interview' stage."
Troubleshooting Breezy HR MCP Server with Vercel AI SDK
Common issues when connecting Breezy HR to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBreezy HR + Vercel AI SDK FAQ
Common questions about integrating Breezy 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 Breezy 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 Breezy 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.