Acunetix 360 MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Acunetix 360 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"acunetix-360": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Acunetix 360, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Acunetix 360 through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Acunetix 360 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 3 tools from Acunetix 360 via MCP
Why Use LangChain with the Acunetix 360 MCP Server
LangChain provides unique advantages when paired with Acunetix 360 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Acunetix 360 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Acunetix 360 queries for multi-turn workflows
Acunetix 360 + LangChain Use Cases
Practical scenarios where LangChain combined with the Acunetix 360 MCP Server delivers measurable value.
RAG with live data: combine Acunetix 360 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Acunetix 360, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Acunetix 360 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Acunetix 360 tool call, measure latency, and optimize your agent's performance
Acunetix 360 MCP Tools for LangChain (3)
These 3 tools become available when you connect Acunetix 360 to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Acunetix 360 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAcunetix 360 + LangChain FAQ
Common questions about integrating Acunetix 360 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.