Compatible with every major AI agent and IDE
Get application details on StackHawk
Get detailed configuration for a specific StackHawk application
Get organization details on StackHawk
Get StackHawk organization details and subscription tier
Get scan alerts on StackHawk
Download individual security alerts discovered by a DAST scan
Get scan results on StackHawk
Get detailed results and metadata for a specific DAST scan
List api keys on StackHawk
Useful for auditing and hygiene. List API keys configured for a StackHawk organization
List applications on StackHawk
Requires a Bearer token and organization ID. List all registered DAST applications in a StackHawk organization
List environments on StackHawk
g., Development, Staging, Production) configured on the application. List configured scan environments for a StackHawk application
List scans on StackHawk
Includes scan IDs and high-level alert counts. List all DAST scan executions for a StackHawk application
Login on StackHawk
This token is required for all subsequent StackHawk tool calls. Authenticate and obtain a Bearer access token from StackHawk
Triage alert on StackHawk
Valid statuses: RISK_ACCEPTED, FALSE_POSITIVE, IN_PROGRESS. Triage a DAST security alert (accept risk, false positive, etc.)
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Are scans executed locally or in the cloud?
Scans run on the StackHawk cloud infrastructure. The MCP integration only triggers and monitors them — no heavy processing happens in your AI context.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Triggering StackHawk via Natural Language
Securely interface Claude Code, ChatGPT, and Cursor with the StackHawk API through semantic routing and standardized natural language triggers.
The Future of dast
The StackHawk toolkit translates Claude's commands into dast operations. The MCP server ensures accurate delivery within the security compliance ecosystem.
AI-Driven application security Workflows
The StackHawk MCP translates LLM intent into specific application security actions. Agents like Cursor use this to interface securely with your security compliance infrastructure.
StackHawk. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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