How do I obtain a Moka API Key?

You must contact your Moka Customer Success Manager (CSM) to enable the API Platform feature and receive your unique API Key.

Can I see interview schedules for my team?

Yes. Use the `list_interviews` tool to see upcoming sessions. You can then use `get_interview` with a specific ID to see the full details, including participants and meeting links.

Is it possible to add a new candidate through the agent?

Yes! Use the `create_candidate` tool. You will need to provide the candidate's name and email address. You can also optionally include their mobile number.

Moka HR MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Moka HR
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Moka HR through the Vinkius — pass the Edge URL in the `mcps` parameter and every Moka HR tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Moka HR Specialist",
    goal="Help users interact with Moka HR effectively",
    backstory=(
        "You are an expert at leveraging Moka HR tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Moka HR "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Moka HR MCP Server

Empower your AI agent to orchestrate your recruitment lifecycle with Moka HR, the premier applicant tracking system for modern high-growth companies. By connecting Moka to your agent, you transform complex candidate tracking, job management, and interview coordination into a natural conversation. Your agent can instantly list open positions, retrieve candidate profiles, monitor interview schedules, and even provide recruitment summaries without you needing to navigate the complex Moka dashboard. Whether you are a hiring manager or a recruiter, your agent acts as a real-time talent assistant, keeping your hiring pipeline organized and your recruitment process efficient.

When paired with CrewAI, Moka HR becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Moka HR tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Job Orchestration — List all active job postings and retrieve detailed requirements for any position.
Candidate Management — Browse recruitment pipelines and manage candidate profiles, including contact details and history.
Interview Tracking — Monitor scheduled interviews and retrieve session details instantly.
Application Control — Manage the relationship between candidates and specific job applications.
Hiring Insights — Retrieve high-level summaries of recruitment activity and pipeline statistics.

The Moka HR MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Moka HR to CrewAI via MCP

Follow these steps to integrate the Moka HR MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Moka HR

Why Use CrewAI with the Moka HR MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Moka HR through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Moka HR + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Moka HR MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Moka HR for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Moka HR, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Moka HR tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Moka HR against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Moka HR MCP Tools for CrewAI (10)

These 10 tools become available when you connect Moka HR to CrewAI via MCP:

create_candidate

Add new candidate

get_application

Get application details

get_candidate

Get candidate details

get_hiring_summary

Get recruitment summary

get_interview

Get interview details

get_job

Get job details

list_applications

List job applications

list_candidates

List candidates

list_interviews

List scheduled interviews

list_jobs

List open job positions

Example Prompts for Moka HR in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Moka HR immediately.

"List all open job positions in our organization."

"Show me the recruitment pipeline for candidate 'Mario'."

"Get a summary of our hiring activity for this month."

Troubleshooting Moka HR MCP Server with CrewAI

Common issues when connecting Moka HR to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Moka HR + CrewAI FAQ

Common questions about integrating Moka HR MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.