Can I move a candidate to a new stage using the agent?

Yes! Use the `move_candidate` tool with the Position ID, Candidate ID, and the target Stage ID. Your agent will update the pipeline status in Breezy HR instantly.

How do I list all the candidates for a specific job?

Simply ask the agent to `list_candidates` and provide the Position ID. It will retrieve the current applicants and their primary details.

Does the integration allow creating a new job position?

Yes. Use the `create_position` action and provide the name, description, and job type. The position will be created in your account as a draft or published based on your settings.

Breezy HR MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Breezy HR
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Breezy HR through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "breezy-hr": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Breezy HR, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Breezy HR through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Breezy HR MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Breezy HR via MCP

Why Use LangChain with the Breezy HR MCP Server

LangChain provides unique advantages when paired with Breezy HR through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Breezy HR MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Breezy HR queries for multi-turn workflows

Breezy HR + LangChain Use Cases

Practical scenarios where LangChain combined with the Breezy HR MCP Server delivers measurable value.

RAG with live data: combine Breezy HR tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Breezy HR, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Breezy HR tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Breezy HR tool call, measure latency, and optimize your agent's performance

Breezy HR MCP Tools for LangChain (10)

These 10 tools become available when you connect Breezy HR to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Breezy HR to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Breezy HR + LangChain FAQ

Common questions about integrating Breezy HR MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.