How do I launch a new scan?

Use the `launch_scan` tool and provide the target URL or Website ID. Your agent will initiate the vulnerability scan and provide a Scan ID for monitoring.

What is the API rate limit for Acunetix 360?

Acunetix 360 APIs enforce server-side rate-limiting to ensure stability. Pagination limits are commonly applied to list endpoints, returning up to 100 objects per query.

Can I integrate scan results into issue trackers?

Yes! Acunetix 360 results can be pushed to issue trackers like Jira, Azure Boards, and GitLab. The agent can summarize these vulnerability outputs for straightforward ticket creation.

Acunetix 360 MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: Acunetix 360
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to Acunetix 360 through Vinkius, pass the Edge URL in the `mcps` parameter and every Acunetix 360 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Acunetix 360 Specialist",
    goal="Help users interact with Acunetix 360 effectively",
    backstory=(
        "You are an expert at leveraging Acunetix 360 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Acunetix 360 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Acunetix 360 MCP Server

Connect your Acunetix 360 account to your AI agent to automate your web application security workflow. From launching new vulnerability scans to auditing identified security issues across your infrastructure, your agent manages application security through natural conversation.

When paired with CrewAI, Acunetix 360 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Acunetix 360 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Automated Scanning — Launch new vulnerability scans for your web applications and APIs directly from chat
Issue Tracking — List and retrieve detailed information on identified vulnerabilities, including severity levels and remediation tips
Scan Monitoring — Track the progress and status of active security scans across your organization
Security Auditing — Quickly retrieve a list of all identified issues to support compliance and risk management
CI/CD Integration Support — Audit scan results from recent builds to ensure security is maintained throughout the development lifecycle

The Acunetix 360 MCP Server exposes 3 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Acunetix 360 to CrewAI via MCP

Follow these steps to integrate the Acunetix 360 MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from Acunetix 360

Why Use CrewAI with the Acunetix 360 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Acunetix 360 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Acunetix 360 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Acunetix 360 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Acunetix 360 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Acunetix 360, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Acunetix 360 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Acunetix 360 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Acunetix 360 MCP Tools for CrewAI (3)

These 3 tools become available when you connect Acunetix 360 to CrewAI via MCP:

launch_scan

Start a new security scan

list_scans

List vulnerability scans

list_vulnerabilities

List all identified security issues

Example Prompts for Acunetix 360 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Acunetix 360 immediately.

"Show me all high-severity vulnerabilities found in my last scan."

Troubleshooting Acunetix 360 MCP Server with CrewAI

Common issues when connecting Acunetix 360 to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Acunetix 360 + CrewAI FAQ

Common questions about integrating Acunetix 360 MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.