How to Use the HCL AppScan MCP in CrewAI

Q: Can I restrict HCL AppScan tools in CrewAI?

Use the toolfilter parameter in your configuration. This limits your agents to only the tools necessary for their specific role in the crew.

Deploy a specialized security crew in CrewAI to manage your HCL AppScan infrastructure.

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Connect HCL AppScan MCP to CrewAI

Create your Vinkius account to connect HCL AppScan 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 HCL AppScan with CrewAI

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Perplexity

Specialized agents for HCL AppScan

Assign `list_apps` and `get_app` to a research agent while your moderator agent handles `start_dast_scan`. This division of labor keeps your security ops efficient. Agents share context through the CrewAI memory system. This ensures the moderator knows exactly which app the researcher just identified.

Autonomous monitoring with CrewAI

Run a monitor agent that periodically calls `list_scans`. It identifies stale or stuck processes and reports them back to your team. This removes the need for manual oversight. Your crew stays active, checking the status of every scan and flagging anomalies in real-time.

Vulnerability triage in CrewAI

Use a dedicated triage agent to fetch findings with `list_issues`. The agent evaluates severity and decides if a manual review is necessary. It keeps your backlog clean. Only high-priority vulnerabilities reach human eyes, while the rest are handled by your automated agents.

Setup guide

Set up HCL AppScan 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 HCL AppScan tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent HCL AppScan 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 HCL AppScan. 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 HCL AppScan MCP in CrewAI

Include the server URL in the mcps list within your Agent definition. The framework handles the integration seamlessly.

Yes, you can assign the MCP server to multiple agents. They will share access to the tools based on your defined crew strategy.

Agents catch tool exceptions and attempt to resolve them. If a `get_issue` call fails, the agent can retry or log the error for your review.

The server transmits vulnerability logs and scan status details. No internal application secrets are shared beyond the required diagnostic data.

Use the tool_filter parameter in your configuration. This limits your agents to only the tools necessary for their specific role in the crew.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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