How to Use the Breezy HR MCP in CrewAI

Q: How do I add Breezy HR MCP tools to my CrewAI agents?

Pass your Vinkius endpoint URL directly into the mcps parameter when defining your agent. CrewAI will automatically connect, inspect the tools, and make them available to your agent team.

Q: How does CrewAI handle pipeline stage transitions in Breezy HR?

Your agents use liststages to find the correct pipeline structure. From there, a specialized coordinator agent uses movecandidate to transition applicants based on collective team decisions.

Deploy specialized agent teams to source, screen, and stage candidates autonomously in Breezy HR using CrewAI.

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Connect Breezy HR MCP to CrewAI

Create your Vinkius account to connect Breezy HR to CrewAI 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 CrewAI

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Perplexity

Multi-agent recruitment screening

One agent cannot do everything. With CrewAI, you set up a researcher agent to fetch new applicants using `list_candidates` and an analyst agent to inspect their resumes via `get_candidate`. They work together, sharing memory to evaluate who fits the open roles. Once the analyst makes a decision, a coordinator agent takes over and runs `move_candidate` to advance the top talent. This division of labor keeps your pipeline moving without manual screening.

Autonomous job board management

Keeping your job boards fresh is a constant chore. You can deploy a CrewAI agent that monitors your internal hiring needs, checks active roles with `list_positions`, and pulls company details using `get_company`. If a gap is found, the agent coordinates with a writing agent to draft a description and executes `create_position` to post it. The entire process runs in the background, keeping your job listings aligned with actual needs.

Coordinated MCP Server task assignment

Sourcing candidates is only half the battle. When your sourcing agent registers a new prospect with `create_candidate`, a coordinator agent immediately steps in to structure their onboarding or interview path. The coordinator queries `list_task_templates` to fetch the standard hiring tasks for that department. It then assigns these templates to the candidate, ensuring every applicant gets a consistent evaluation process.

Setup guide

Set up Breezy HR MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Breezy HR tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Breezy HR Analyst",
    goal="Access and analyze Breezy HR data via MCP.",
    backstory="Expert analyst with direct Breezy HR access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Breezy HR transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Breezy HR Analyst",
        goal="Access and analyze Breezy HR data via MCP.",
        backstory="Expert analyst with direct Breezy HR access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Breezy HR transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass your Vinkius endpoint URL directly into the `mcps` parameter when defining your agent. CrewAI will automatically connect, inspect the tools, and make them available to your agent team.

Yes, agents share access to the MCP Server. One agent can read candidate lists with `list_candidates` while another simultaneously updates a pipeline stage using `move_candidate`.

Your agents use `list_stages` to find the correct pipeline structure. From there, a specialized coordinator agent uses `move_candidate` to transition applicants based on collective team decisions.

No, Vinkius handles the hosting and hosting-level authentication. Your CrewAI setup only needs your single Vinkius endpoint token to securely access the MCP Server.

Yes, all candidate profiles and position logs are processed locally in your execution environment. The Breezy HR MCP Server runs in an isolated, ephemeral sandbox that never stores or logs the contents of candidate payloads.

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