How to Use the Moka HR MCP in CrewAI

Deploy a recruitment crew with CrewAI. This MCP Server lets your specialized agents research and shortlist candidates automatically.

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Connect Moka HR MCP to CrewAI

Create your Vinkius account to connect Moka HR 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 Moka HR with CrewAI

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Perplexity

Multi-agent candidate screening

Assign a researcher agent to use `list_candidates` while your moderator agent uses `get_application` to verify qualifications. They share context to build a complete picture of the talent pool. This lets you run parallel operations across your hiring list. Your crew works as a unit to identify the best candidates for your open roles.

Autonomous hiring summaries

Your analyst agent calls `get_hiring_summary` to digest applicant profiles. It then passes the findings to your decision agent for final review. It handles the synthesis of raw data into actionable insights. You get a clear report without having to read through every single application yourself.

Coordinate interview logistics

Let your coordinator agent use `list_interviews` to manage your team's calendar. It can spot gaps or conflicts and adjust the schedule by calling the appropriate ATS tools. This frees up your recruiters for higher-value tasks. The agent keeps your interview pipeline organized and on schedule.

Setup guide

Set up Moka HR 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 Moka HR tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Moka HR 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 Moka 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.

Why Choose Vinkius

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Common questions about Moka HR MCP in CrewAI

Include the server URL in your agent definition. You can filter which tools each agent uses to keep their roles specific.

Yes, agents use shared memory to pass insights gathered from tools like `get_candidate`. They build on each other's work.

It works perfectly in both sequential and hierarchical setups. Your manager agent can delegate tool calls to any member of the crew.

It's fully compatible. You can connect it via the standard URL or use the MCP server helper for more complex transport needs.

Your candidate names and contact info are scoped to your session. The server provides a secure, ephemeral tunnel for your agents to access the data.

Use it with your favorite AI tools

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