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Ninehire MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Api Health, Get Applicant Profile, Get Authenticated User Info, and more

Built by Vinkius GDPR 12 Tools Framework

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

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The Ninehire app connector for CrewAI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Ninehire Specialist",
    goal="Help users interact with Ninehire effectively",
    backstory=(
        "You are an expert at leveraging Ninehire 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 Ninehire "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Ninehire
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Ninehire MCP Server

Connect your Ninehire account to any AI agent and take full control of your talent acquisition and applicant tracking orchestration through natural conversation. Ninehire (나인하이어) provides a modern recruitment platform, and this integration allows you to retrieve job metadata, manage candidate profiles, and monitor interview evaluations directly from your chat interface.

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

What you can do

  • Job & Requirement Orchestration — List all active job openings and retrieve detailed requirements programmatically to ensure your hiring roadmap is always synchronized.
  • Applicant & Pipeline Intelligence — Access and monitor candidate profiles and retrieve detailed application history directly from the AI interface to maintain high-fidelity talent pools.
  • Evaluation & Feedback Control — List interview scores and comments via natural language to drive better hiring decisions and team alignment.
  • Manual Applicant Ingestion — Register new applicants and manage department or location metadata using simple AI commands.
  • Operational Monitoring — Track system responses and manage recruitment webhooks to ensure your hiring workflows are always optimized.

The Ninehire MCP Server exposes 12 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.

All 12 Ninehire tools available for CrewAI

When CrewAI connects to Ninehire through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, talent-acquisition, hiring-pipeline, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify Ninehire API status

get_applicant_profile

Get details for a specific candidate

get_authenticated_user_info

Get current account profile

get_job_details

Get details for a specific job

list_candidate_evaluations

Get evaluations for a candidate

list_configured_webhooks

List active webhooks

list_hiring_teams

List internal hiring teams

list_job_applicants

List candidates and applicants

list_job_locations

List hiring locations

list_job_postings

Supports filtering by title, job group, and employment type. List all job openings

list_organization_departments

List company departments

register_new_applicant

Requires essential info like name and email. Add a candidate manually

Connect Ninehire to CrewAI via MCP

Follow these steps to wire Ninehire into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Ninehire

Why Use CrewAI with the Ninehire MCP Server

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

01

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

02

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

03

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

04

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

Ninehire + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Ninehire in CrewAI

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

01

"List all active job postings in Ninehire."

02

"Show me all candidates who applied for the Senior Developer position."

03

"List all departments and hiring locations configured in my organization."

Troubleshooting Ninehire MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

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

Ninehire + CrewAI FAQ

Common questions about integrating Ninehire MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.