How to Use the Kaseya MCP in CrewAI

Deploy a specialized crew of autonomous agents to manage your Kaseya infrastructure.

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Connect Kaseya MCP to CrewAI

Create your Vinkius account to connect Kaseya 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 Kaseya with CrewAI

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CrewAI autonomous monitoring for Kaseya

Assign a monitor agent to watch `list_alarms` while a separate responder takes action. This multi-agent approach handles spikes in infrastructure activity without manual input. Your crew collaborates to solve problems. One agent identifies the issue while the other executes the fix.

Role-based Kaseya management in CrewAI

Define specialized roles like 'System Auditor' using `list_audit_logs` and 'Asset Manager' using `list_assets`. Each agent in your crew has distinct permissions and focus. This prevents role creep. Each agent only sees the tools it needs to complete its specific part of the job.

Hierarchical Kaseya operations with CrewAI

Structure your crew to escalate issues through a moderator agent. The moderator reviews `list_workflows` results before approving final changes to your environment. Human-in-the-loop oversight is simple. The agents do the research, and you approve the final action.

Setup guide

Set up Kaseya 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 Kaseya tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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Common questions about Kaseya MCP in CrewAI

Pass the Kaseya MCP server URL directly into the agent definition. You can then selectively filter which tools each crew member can access.

Yes. With shared memory enabled, your agents exchange findings. An analyst agent can pass a list of problematic devices to an execution agent.

The MCP protocol ensures that only authorized crew members access your infrastructure data. Each agent's scope is strictly defined during setup.

You can log every tool interaction to your terminal. This gives you a clear view of how your crew is navigating your machine groups and scripts.

We use ephemeral transport layers for all data transfers. Your sensitive machine info never leaves the secure sandbox, and access is restricted to the specific tools required for the task.

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