How to Use the Breezy HR Alternative MCP in CrewAI

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Connect Breezy HR Alternative MCP to CrewAI

Create your Vinkius account to connect Breezy HR Alternative 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 Alternative with CrewAI

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Collaborative Candidate Sourcing with CrewAI

This MCP Server provides the data backbone for your autonomous hiring crew. A sourcing agent uses `list_candidates` to find new applicants, while a screening agent reviews their profiles. The screening agent calls `get_candidate` to extract specific skills and experience details. Together, they decide whether to advance the applicant without requiring human intervention.

Autonomous Job Board Optimization

Manage open roles by assigning a coordinator agent to monitor your positions. The agent calls `list_positions` to check which jobs are active and compares them against current hiring targets. When a target is met, the agent uses `get_position` to retrieve the role details and archives the listing. This keeps your external job postings accurate and up to date.

Multi-Agent Application Audit

Track candidate journeys by running a background audit crew. A tracking agent calls `list_applications` to gather history across different departments and companies. A moderator agent checks this history for inconsistencies using `get_company`. The crew flags anomalies and compiles a clean report for your HR lead.

Setup guide

Set up Breezy HR Alternative 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 Alternative tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Breezy HR Alternative 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 Alternative Analyst",
        goal="Access and analyze Breezy HR Alternative data via MCP.",
        backstory="Expert analyst with direct Breezy HR Alternative access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Breezy HR Alternative 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 Alternative MCP in CrewAI

You add the Vinkius endpoint URL directly to the mcps array when defining your agent. CrewAI connects to the server and exposes the recruitment tools automatically.

Yes, you can use MCPServerHTTP from crewai.mcp along with a tool_filter. This lets you restrict a specific agent to only read-only operations like get_position.

Agents utilize CrewAI's shared memory to pass outputs from get_candidate to other agents in the crew. The analyzing agent reads the candidate details directly from the shared context.

CrewAI supports stdio, SSE, and Streamable HTTP. You can choose the transport method that fits your infrastructure requirements.

No, Vinkius processes all recruitment records inside isolated V8 sandboxes. Your candidate resumes, job descriptions, and company details are completely destroyed as soon as the agent's request completes.

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