How to Use the intelliHR MCP in CrewAI

Q: How do I assign intelliHR tools to specific CrewAI agents?

You pass the server URL to the mcps array in your CrewAI agent definition. You can assign listpeople to an HR researcher agent while reserving administrative tools for your compliance lead agent.

Q: Can CrewAI agents collaborate on intelliHR salary audits?

Yes, a researcher agent can fetch pay details using listremuneration and pass the raw data to an analyst agent. The analyst then compares these records against industry standards and writes a report.

Q: How is employee and user data protected during CrewAI execution?

All data retrieved via listusers and listpeople stays within your local Python runtime. The Vinkius MCP Server operates in a secure, ephemeral sandbox, meaning no personal data is stored or logged externally.

Coordinate specialized agent teams using CrewAI to audit, monitor, and update your intelliHR directory.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect intelliHR MCP to CrewAI

Create your Vinkius account to connect intelliHR 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.

GDPR Free for Subscribers

Setup intelliHR with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deploy a collaborative CrewAI compliance team

The `list_training` tool serves as the primary data source for your CrewAI compliance agent. While one agent pulls training completion records, a second analyst agent evaluates whether the team meets regulatory standards. A third moderator agent uses `list_users` to identify which system administrators need to be notified about missing certifications. This multi-agent coordination ensures zero compliance gaps across your entire workforce.

Audit corporate structures and entity mapping

The `list_business_entities` tool provides your CrewAI financial analyst agent with a complete list of registered corporate divisions. The agent works alongside a directory specialist to map current employees to their correct legal employers. They use `list_people` to verify that every active employee is tied to a valid entity. If the agents find an orphan profile, they flag it for immediate manual review by your HR operations lead.

Track skills and talent distribution

The `list_skills` tool lets your CrewAI talent acquisition crew map internal capabilities across office sites. One agent lists all active skills while another agent uses `list_locations` to see where those skills are physically concentrated. They cross-reference this with `list_positions` to identify regional talent gaps. The crew then generates a targeted internal recruiting plan based on real-time data from this MCP Server.

Setup guide

Set up intelliHR 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 intelliHR tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect intelliHR now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about intelliHR MCP in CrewAI

You pass the server URL to the `mcps` array in your CrewAI agent definition. You can assign `list_people` to an HR researcher agent while reserving administrative tools for your compliance lead agent.

Yes, a researcher agent can fetch pay details using `list_remuneration` and pass the raw data to an analyst agent. The analyst then compares these records against industry standards and writes a report.

Look, you don't want to expose salaries to every agent. You use the MCP Server HTTP transport with a `tool_filter` to expose only safe tools like `list_skills`.

The server handles concurrent requests smoothly by queuing calls to endpoints like `get_person`. Your agent teams can query the directory simultaneously without causing connection timeouts.

All data retrieved via `list_users` and `list_people` stays within your local Python runtime. The Vinkius MCP Server operates in a secure, ephemeral sandbox, meaning no personal data is stored or logged externally.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript