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 Pydantic AI 3 tools — connect in under 2 minutes

Name: Acunetix 360
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Acunetix 360 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Acunetix 360 "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Acunetix 360?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Acunetix 360 tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Acunetix 360 MCP Server

Pydantic AI provides unique advantages when paired with Acunetix 360 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Acunetix 360 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Acunetix 360 connection logic from agent behavior for testable, maintainable code

Acunetix 360 + Pydantic AI Use Cases

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

Type-safe data pipelines: query Acunetix 360 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Acunetix 360 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Acunetix 360 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Acunetix 360 responses and write comprehensive agent tests

Acunetix 360 MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect Acunetix 360 to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Acunetix 360 + Pydantic AI FAQ

Common questions about integrating Acunetix 360 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Acunetix 360 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.