How to Use the Join MCP in CrewAI

Deploy a crew of recruiting agents with CrewAI. Let specialized bots handle candidate screening and job posting updates.

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Connect Join MCP to CrewAI

Create your Vinkius account to connect Join 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 Join with CrewAI

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Perplexity

Specialized recruiting agents for CrewAI

Assign research tasks to one agent using `list_candidates` while another handles analysis via `get_candidate`. They work together to build a complete profile for your hiring team. This division of labor increases your throughput. Your agents share memory to ensure everyone stays on the same page.

Autonomous hiring oversight in CrewAI

Set a moderator agent to watch for new applicants using `list_applications`. It can flag top-tier talent for immediate review by your human managers. You define the criteria, and the agents execute the search. It turns a manual task into a background process.

Multi-agent coordination with tools

Expose specific tools like `get_job` to your agents to keep them informed on current requirements. Your crew understands the context of every role they manage. This prevents misaligned expectations during the screening process. Your agents act based on the actual job descriptions.

Setup guide

Set up Join 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 Join tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Join 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 JOIN. 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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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Join MCP in CrewAI

Pass the endpoint URL into your agent configuration. Your crew will automatically register the available tools for their tasks.

Yes, agents share context to collaborate. One agent can fetch the candidate details while the other summarizes the application notes.

We use scoped access for every tool. Your applicant contact info remains protected within the ephemeral session boundary.

Use the tool filtering options in the client setup. This limits an agent to only the tools they need for their specific role.

No records persist after the session ends. Your candidate profiles and application history are wiped immediately after the task completes.

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