How to Use the Greenhouse MCP in CrewAI

Deploy a specialized recruitment crew in CrewAI to manage your Greenhouse pipeline autonomously.

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Connect Greenhouse MCP to CrewAI

Create your Vinkius account to connect Greenhouse 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 Greenhouse with CrewAI

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Autonomous Greenhouse recruiting crews

Assign `list_candidates` and `update_candidate` to a researcher agent in your crew. It gathers the info while your moderator agent handles the final updates. This lets your agents work in parallel. One agent digs through the data, and the other ensures the pipeline stays updated without you lifting a finger.

Role-based Greenhouse pipeline control

Create a crew where one agent is responsible for `list_open_jobs` and another handles `create_candidate`. Each agent only has access to the tools it needs to get the job done. This separation keeps your operations clean. You assign specific responsibilities, and the crew coordinates the work based on your objectives.

Automated Greenhouse pipeline monitoring

Let a monitor agent watch your Greenhouse applications using `list_applications` periodically. If it spots a bottleneck, it triggers the appropriate action to move things along. Your hiring process runs 24/7 without manual input. The agents handle the routine checks and only escalate if there's a problem.

Setup guide

Set up Greenhouse 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 Greenhouse tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Greenhouse 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 Greenhouse. 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 Greenhouse MCP in CrewAI

Pass the server URL directly into your agent's mcps list. The agents will automatically discover the tools and start using them.

They can. By sharing memory, one agent can research a candidate using Greenhouse tools, and the next agent can act on that information.

It does. You can give a manager agent the tools to oversee the whole process, and it will delegate to subordinates as needed.

Vinkius provides a single endpoint token. You don't need to manage individual API keys for every agent in your crew.

Agents only process the candidate records they request. The data is ephemeral and used only for the task at hand.

Use it with your favorite AI tools

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