How to Use the Lever MCP in CrewAI

Q: How do I restrict which Lever tools a CrewAI agent uses?

You use the toolfilter parameter in your configuration. This ensures that specific agents only see the tools they need, keeping your setup clean and secure.

Deploy a specialized crew of autonomous agents to manage your entire Lever hiring pipeline.

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…and any MCP-compatible client

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Connect Lever MCP to CrewAI

Create your Vinkius account to connect Lever 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 Lever with CrewAI

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Perplexity

Collaborative ATS Operations

Assign an agent to monitor applicants using `list_hiring_opportunities`. It feeds data to your analysis agent for review. Once the analysis is complete, a third agent triggers `update_opportunity_stage` to progress the candidate. The crew works in tandem to finish the job.

Autonomous Posting Management

Let your research agent scrape requirements and use `create_job_posting` to generate new listings. Use `get_posting_details` to verify that the agent's work matches your internal standards before it goes live. The agents check each other's output.

Proactive Candidate Screening

Configure an agent to pull profiles with `get_candidate_profile`. It identifies candidates who need immediate attention. If the agent identifies a mismatch, it uses `archive_hiring_opportunity` to clean up the queue. Your team only sees the candidates that matter.

Setup guide

Set up Lever 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 Lever tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Lever 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 Lever. 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.

Why Choose Vinkius

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Common questions about Lever MCP in CrewAI

You pass the server URL directly into your agent definition. This grants the entire crew access to the full suite of ten Lever tools for their collaborative tasks.

They can. Using shared memory, one agent can fetch data via `get_opportunity_details` and pass the context to another agent to perform the next stage transition.

They will, provided you grant them the appropriate permissions. You can set up a moderator agent to review the actions of other agents before they finalize any changes.

You use the tool_filter parameter in your configuration. This ensures that specific agents only see the tools they need, keeping your setup clean and secure.

The MCP Server transmits data only to the authenticated agent session. No information is stored persistently outside of the ephemeral memory used by your active agent crew.

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