How to Use the Jobvite MCP in CrewAI

Q: How do I give my CrewAI agents access to Jobvite?

Pass the server URL into the mcps list of your Agent definition. Once assigned, the agents can call any of the nine available recruitment tools.

Deploy specialized agent crews to manage Jobvite recruitment tasks with CrewAI.

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Connect Jobvite MCP to CrewAI

Create your Vinkius account to connect Jobvite 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 Jobvite with CrewAI

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Perplexity

Autonomous CrewAI recruitment teams

Assign one agent to research candidates with `list_candidates` while another handles status updates using `update_application_status`. They share context, so the second agent knows exactly what the first one found. This division of labor keeps your pipeline moving. You define the roles, and the crew handles the execution across the recruitment platform.

Hierarchical Jobvite management

Set up a manager agent to oversee the recruitment process. It delegates specific tasks like `create_job` or `get_candidate` to specialized worker agents. The manager ensures tasks finish in the right order. This structure prevents errors when you need to update multiple records in a sequence.

Scalable candidate operations

Run agents that monitor your inbox or source and automatically push updates to Jobvite. By using `update_candidate`, the crew keeps your records current without you touching a button. It works in the background. You get a steady flow of updates while the agents handle the heavy lifting of data entry.

Setup guide

Set up Jobvite 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 Jobvite tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL into the `mcps` list of your Agent definition. Once assigned, the agents can call any of the nine available recruitment tools.

Yes. Agents share memory and context, allowing them to pass data from a search tool to an update tool. They function as a coordinated team for your recruitment needs.

You can use a tool filter to restrict which agents have write permissions. This ensures only your designated 'Action' agent can update application statuses.

It integrates directly via the MCP server interface. You can connect it using standard transports like SSE or HTTP for your agent teams.

The server operates in an isolated sandbox. Only the agents you explicitly authorize can access your candidate records, and all data transfers are cleared after the session ends.

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