How to Use the CrowdStrike Falcon MCP in CrewAI
Assemble an autonomous security team for CrowdStrike Falcon. Let your CrewAI agents hunt, investigate, and respond to threats 24/7.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CrowdStrike Falcon MCP to CrewAI
Create your Vinkius account to connect CrowdStrike Falcon 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.
Deploy an Autonomous Hunting Crew
This is what CrewAI was made for. Assign a 'Hunter' agent the job of running `list_detections` with specific FQL queries. When it finds a critical threat, it passes the detection details to another, more specialized agent in the crew. An 'Investigator' agent takes over from there. Its job is to use `search_hosts` for device context and `list_vulnerabilities` to check for weaknesses. This entire hunt-and-investigate mission runs autonomously, with each agent performing its role.
Your Automated SOC Team MCP Server
Build a crew that mimics a real security operations center. A 'Triage' agent can monitor for new events with `list_incidents`. When a new incident appears, it assigns it to a 'Responder' agent that has permission to use the `contain_device` tool. You can even add a 'Manager' agent that watches the Responder's actions. If a containment fails, the Manager can escalate the incident to a human analyst. It's a full chain of command for your CrowdStrike Falcon instance, powered by your agent crew.
Collaborative Intel Management
Design a crew to manage threat intelligence. One agent's role is to scan external feeds for new IOCs. When it finds one, it passes the hash or IP to an 'Enrichment' agent for validation. Once validated, the Enrichment agent uses the `create_ioc` tool to add the indicator to CrowdStrike Falcon. A third 'Auditor' agent can then periodically run `list_iocs` to verify policies and clean up old data. Each agent has one job, and they work together perfectly.
Set up CrowdStrike Falcon 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 CrowdStrike Falcon tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="CrowdStrike Falcon Analyst",
goal="Access and analyze CrowdStrike Falcon data via MCP.",
backstory="Expert analyst with direct CrowdStrike Falcon access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent CrowdStrike Falcon 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="CrowdStrike Falcon Analyst",
goal="Access and analyze CrowdStrike Falcon data via MCP.",
backstory="Expert analyst with direct CrowdStrike Falcon access.",
tools=mcp_tools,
)
task = Task(
description="List recent CrowdStrike Falcon 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 CrowdStrike Falcon. 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 CrowdStrike Falcon MCP in CrewAI
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