Acunetix 360 MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Acunetix 360 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Acunetix 360. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Acunetix 360?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Acunetix 360 tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Acunetix 360 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from Acunetix 360
Why Use LlamaIndex with the Acunetix 360 MCP Server
LlamaIndex provides unique advantages when paired with Acunetix 360 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Acunetix 360 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Acunetix 360 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Acunetix 360, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Acunetix 360 tools were called, what data was returned, and how it influenced the final answer
Acunetix 360 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Acunetix 360 MCP Server delivers measurable value.
Hybrid search: combine Acunetix 360 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Acunetix 360 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Acunetix 360 for fresh data
Analytical workflows: chain Acunetix 360 queries with LlamaIndex's data connectors to build multi-source analytical reports
Acunetix 360 MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Acunetix 360 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Acunetix 360 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAcunetix 360 + LlamaIndex FAQ
Common questions about integrating Acunetix 360 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Acunetix 360 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Acunetix 360 to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.