How to Use the Kolide MCP in CrewAI
Deploy an autonomous security crew to monitor and manage your Kolide fleet using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Kolide MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Kolide tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Kolide Analyst",
goal="Access and analyze Kolide data via MCP.",
backstory="Expert analyst with direct Kolide access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kolide. 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 Kolide MCP in CrewAI
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