How to Use the Breezy HR MCP in AutoGen

Debate your recruitment decisions with multi-agent consensus using Breezy HR and AutoGen.

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Connect Breezy HR MCP to AutoGen

Create your Vinkius account to connect Breezy HR to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Breezy HR with AutoGen

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Perplexity

Consensus-driven hiring in AutoGen

Let your agents argue over the best candidate. One agent pulls data via `get_candidate`, while another checks requirements using `get_position`, forcing a negotiation before moving anyone to a new stage. This approach ensures that every `move_candidate` action is vetted by multiple perspectives. It prevents hasty decisions by requiring agreement across your agent team.

Automated recruitment debate with Breezy HR

Set up a specialized team where one agent focuses on speed and another on quality. They use `list_candidates` to find prospects and debate who fits the role best. Your agents resolve conflicts by analyzing the data provided by the MCP Server. They only proceed with a hire or a move once they reach a shared conclusion.

Secure multi-agent MCP Server coordination

Your agents can share the load of recruitment. One agent handles `create_position` while another verifies task templates, making your hiring process a collaborative effort. By leveraging the tool list, your agents ensure every action is documented and aligned with your team's goals. It removes the bottleneck of single-agent workflows.

Setup guide

Set up Breezy HR MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Breezy HR tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Breezy HR_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Breezy HR data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Breezy HR_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Breezy HR data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Breezy HR. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Breezy HR MCP in AutoGen

You assign specific roles to agents and give them access to the Breezy HR tools. They exchange messages about the returned data until they reach a consensus on the next task.

Yes, once your agents agree on a candidate's suitability, they can trigger the move tool. This requires all participating agents to sign off on the decision first.

It is recommended for the best experience. Using multiple agents allows them to challenge each other's findings, which is the main reason to use this specific framework.

The server operates in a zero-trust environment. Candidate resumes and contact info remain isolated within the ephemeral session, ensuring no unauthorized access to your private records.

You provide one endpoint token that handles all communication. This token grants the server permission to act on your behalf without requiring you to manage complex credentials inside your code.

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