How to Use the Acunetix 360 MCP in LlamaIndex

Q: How do I connect the Acunetix 360 MCP Server to my LlamaIndex pipeline?

Start by installing the integration via pip install llama-index-tools-mcp. Next, initialize the BasicMCPClient pointing to your Vinkius endpoint, wrap it in a McpToolSpec, and call await mcptoolspec.totoollistasync() to register the tools.

Q: Which Acunetix 360 MCP Server tools are exposed to LlamaIndex?

The server provides three tools: launchscan to start new target checks, listscans to monitor active runs, and listvulnerabilities to fetch identified flaws. You can restrict access using the allowedtools filter during setup.

Feed live Acunetix 360 vulnerability data straight into your LlamaIndex vector store to automate security patching decisions.

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Connect Acunetix 360 MCP to LlamaIndex

Create your Vinkius account to connect Acunetix 360 to LlamaIndex 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 LlamaIndex

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Index Live Security Audits with LlamaIndex

LlamaIndex doesn't just run tools; it digests their output to build a historical memory of your security posture. When your agent calls `list_vulnerabilities`, the returned payload gets indexed directly into your vector database. This MCP integration prevents your LLM from guessing about open ports or outdated packages. You can query past scan histories without hitting the Acunetix API repeatedly.

Trigger and Track Scans on Demand

Initiating web security checks shouldn't require manual dashboard hopping. Your LlamaIndex agent executes `launch_scan` to target your staging environments during automated test runs. It watches the progress dynamically, pulling live updates into its execution context. If a new high-severity exploit pops up, the framework captures the event details instantly.

Ground Security Decisions in Real Scan Data

Hallucinations kill security workflows. This MCP Server exposes `list_scans` to feed your index with the exact run times and target URLs of your active testing suite. Your LlamaIndex agent compares these actual runs against your compliance documents. Instead of relying on static reports, your pipeline queries live API states to verify if a patch went live.

Setup guide

Set up Acunetix 360 MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Acunetix 360 MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Acunetix 360 tools.",
)
response = await agent.run("List recent Acunetix 360 data")

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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 LlamaIndex

Start by installing the integration via `pip install llama-index-tools-mcp`. Next, initialize the `BasicMCPClient` pointing to your Vinkius endpoint, wrap it in a `McpToolSpec`, and call `await mcp_tool_spec.to_tool_list_async()` to register the tools.

Yes, that is the main benefit of this setup. When the agent calls `list_vulnerabilities`, the raw JSON payload is fed directly into your LlamaIndex vector store, making security flaws searchable via semantic queries.

The server provides three tools: `launch_scan` to start new target checks, `list_scans` to monitor active runs, and `list_vulnerabilities` to fetch identified flaws. You can restrict access using the `allowed_tools` filter during setup.

Large vulnerability lists are split into manageable chunks before entering your vector database. By enabling `include_resources=True`, the agent can load specific scan details as external context without overloading its prompt window.

Your target URLs, vulnerability details, and API keys remain isolated within the secure Vinkius V8 sandbox. No raw scan data is stored on external servers or used to train public LLM models.

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