How to Use the Halo Security MCP in CrewAI
Deploy a specialized crew of security agents to hunt vulnerabilities and audit ports using CrewAI and Halo Security.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Halo Security MCP to CrewAI
Create your Vinkius account to connect Halo Security 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.
Multi-agent attack surface hunting in CrewAI
Divide and conquer your external security posture. With CrewAI and this MCP Server, you can assign one agent to discover assets using `list_targets` while a second agent analyzes open vulnerabilities using `list_issues`. A third coordinator agent reads the shared memory to match new targets with their respective issues. This team dynamic ensures your security monitoring runs autonomously without a single agent getting bogged down in raw data.
Autonomous port and certificate compliance
Set up a dedicated compliance squad. Your network auditor agent queries `list_open_ports` and `list_dns_records` to build a map of your external footprint, while your security analyst agent checks `list_certificates` for expiring TLS setups. If the compliance squad finds a mismatch, they collaborate to trigger a deep scan using `trigger_scan`. The agents then review the resulting scan history in `list_scans` to confirm the issue is resolved.
Intelligent technology risk profiling
Keep your tech stack secure without constant manual audits. Your research agent uses `list_technologies` to identify all frameworks, libraries, and web servers running on your public-facing assets. The agent passes this list to a risk analyst agent, who queries `get_security_risk` and `get_issue` to evaluate the threat level of those specific technologies. Outdated software gets flagged before attackers can exploit it.
Set up Halo Security 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 Halo Security tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Halo Security Analyst",
goal="Access and analyze Halo Security data via MCP.",
backstory="Expert analyst with direct Halo Security access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Halo Security 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="Halo Security Analyst",
goal="Access and analyze Halo Security data via MCP.",
backstory="Expert analyst with direct Halo Security access.",
tools=mcp_tools,
)
task = Task(
description="List recent Halo Security 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 Halo Security. 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 Halo Security MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Halo Security MCP today
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