How to Use the Acunetix 360 MCP in Google ADK

Connect Acunetix 360 MCP Server to Google ADK to analyze massive vulnerability reports using Gemini's million-token context.

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Connect Acunetix 360 MCP to Google ADK

Create your Vinkius account to connect Acunetix 360 to Google ADK 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 Acunetix 360 with Google ADK

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Manage active scans via this MCP Server

Enterprise security teams need to track multiple web application tests simultaneously. Your Gemini agent uses `launch_scan` to initiate new security checks directly from your Google Cloud environment. It's targeting specific staging URLs based on triggers from your CI/CD pipeline. The agent then calls `list_scans` to monitor progress across all active testing jobs via this MCP Server. Since Gemini handles massive context windows, your agent tracks dozens of simultaneous scans without losing state or confusing target environments.

Analyze massive vulnerability datasets

Security tests generate enormous amounts of data. When your agent executes `list_vulnerabilities`, it pulls every identified flaw, payload, and remediation step into memory. Gemini's 1M+ token context window swallows the entire vulnerability report whole. The agent cross-references these findings against your internal security policies stored in Vertex AI. It identifies false positives and critical risks in seconds.

Integrate security findings with BigQuery

Raw vulnerability data needs a permanent home for compliance tracking. After your agent retrieves the security flaws, it routes that structured data straight into your existing BigQuery tables. This setup turns your Google ADK agent into an automated security auditor. It tests the applications, pulls the results, and updates your enterprise compliance dashboards without manual data entry.

Setup guide

Set up Acunetix 360 MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Acunetix 360 tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Acunetix 360_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Acunetix 360 tools via MCP.",
    tools=mcp_tools,
)

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 Acunetix 360. 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 Acunetix 360 MCP in Google ADK

Configure the MCP Server by creating a McpToolset using the Vinkius URL and pass it to your LlmAgent. The framework handles the HTTP transport automatically.

You can limit exposure by passing a filter to the toolset. This prevents a reporting agent from accidentally starting a new scan with the MCP tools.

Gemini's massive context window easily absorbs the entire JSON output from a scan. The agent reasons across thousands of findings simultaneously without truncating the data.

Yes. The framework runs natively within your Google Cloud ecosystem. Your security agents can pull data from this server and immediately process it through Vertex AI models.

The system processes target endpoints and specific security flaws. Vinkius isolates this activity in an ephemeral zero-trust container that vanishes the moment your Gemini agent finishes its task.

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