Breezy HR MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Breezy HR through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"breezy-hr": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Breezy HR Agent",
instructions:
"You help users interact with Breezy HR " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Breezy HR?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Breezy HR tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Breezy HR MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Breezy HR via MCP
Why Use Mastra AI with the Breezy HR MCP Server
Mastra AI provides unique advantages when paired with Breezy HR through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Breezy HR without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Breezy HR tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Breezy HR + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Breezy HR MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Breezy HR, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Breezy HR as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Breezy HR on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Breezy HR tools alongside other MCP servers
Breezy HR MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Breezy HR to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Breezy HR to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBreezy HR + Mastra AI FAQ
Common questions about integrating Breezy HR MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Breezy HR with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.