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How to Use the Kolide MCP in CrewAI

Deploy an autonomous security crew to monitor and manage your Kolide fleet using CrewAI.

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CrewAI

Connect Kolide MCP to CrewAI

Create your Vinkius account to connect Kolide 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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Assemble a Security Monitoring Crew

Define a `MonitorAgent` in your crew with one job: periodically run `list_kolide_issues`. When it finds a new, critical issue, its task is complete. It passes the issue ID to the next agent in the sequence. An `InvestigatorAgent` then takes over. It uses the ID to run `get_issue_details`, `get_device_details`, and `get_person_details`. This agent gathers all the context—the problem, the machine, and the user—before passing a complete brief to a human or another agent.

Build an Autonomous Auditor Agent

Delegate fleet auditing to a specialized agent. Your `AuditorAgent` can run on a schedule, execute `list_kolide_devices`, and cross-reference the output with your HR system's employee list. It can use `get_person_details` to check the owner of each device. If a device has no owner or is assigned to a former employee, the agent's job is to flag it and pass the device ID to a `DecommissioningAgent`. This is how you automate fleet hygiene.

A CrewAI Team for Fleet Reporting

This MCP server lets you build an intelligence-gathering crew. Assign a `StatsAgent` to call `get_kolide_fleet_stats` for the big picture. At the same time, a `LogAgent` can pull recent events using `list_kolide_audit_logs`. A final `ReportingAgent` receives the data from both agents and assembles a daily security brief. CrewAI manages the information handoff, letting each agent focus on its specific tool and task.

Setup guide

Set up Kolide MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Kolide tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Kolide transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

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

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 Kolide MCP in CrewAI

Assign a `MonitorAgent` to find issues with `list_kolide_issues`. It then passes the issue data to an `InvestigatorAgent`, which uses `get_issue_details` and `get_device_details` to build a complete report before escalating.
Yes. Give a dedicated agent the task of regularly calling `list_kolide_audit_logs`. It can look for specific events, like new device enrollments, and trigger another agent in the crew when it finds one.
That's exactly how CrewAI is designed to work. Your first agent uses `list_kolide_devices` to get a device ID. The second agent receives that ID as input for its task, which is to call `get_person_details` and identify the user.
The easiest way is to pass your Vinkius MCP URL into the `mcps` list when defining an Agent. For more fine-grained control, use the `MCPServerHTTP` class from `crewai.mcp` to filter exactly which tools each agent can access.
This server is read-only and only touches endpoint security data like device names, OS versions, and associated user info. Vinkius processes every API call in a fresh, single-use environment that is destroyed after the request, ensuring no data persists.

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