Integrate Patchstack Security with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet autoupdate settings on Patchstack Security
Retrieve settings for automatic updates of vulnerable components
Get component vulnerabilities on Patchstack Security
Retrieve all known vulnerabilities for a specific component
Get latest alerts on Patchstack Security
Retrieve the latest security alerts and triggered rules
Get latest vulnerabilities on Patchstack Security
Retrieve the latest vulnerabilities added to the database
Get site software on Patchstack Security
Retrieve a list of all software installed on a specific site
Get software overview on Patchstack Security
Retrieve a security overview of all software across your sites
Get vulnerability details on Patchstack Security
Get detailed information for a specific vulnerability
List sites on Patchstack Security
Retrieve a list of all sites monitored by Patchstack
Search vulnerabilities on Patchstack Security
Search the Patchstack vulnerability database
Security & Code Integrity Audit
Every tool in the Patchstack Security MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
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.
Where do I find my Patchstack User Token?
Log in to the Patchstack App, navigate to Account Settings > Integrations, and you will find your unique User Token there.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
Automated Workflows using Patchstack Security
Securely interface Claude Code, ChatGPT, and Cursor with the Patchstack Security API through semantic routing and standardized natural language triggers.
AI-Driven wordpress security Workflows
Integrate Patchstack Security to access native wordpress security capabilities. This allows LLMs to perform secure, deterministic execution of security compliance tasks without hard-coded API scripts.
AI Semantic Routing for vulnerability tracking
The Patchstack Security toolkit provides structured tools for vulnerability tracking. It enables conversational interfaces like Claude Code to query and modify data within your security compliance infrastructure.
Patchstack Security. 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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