Compatible with every major AI agent and IDE
Generate pdf on ScreenshotOne
Generate a PDF from a URL
Get page metadata on ScreenshotOne
) without capturing. Get metadata for a website (title, size, etc.) without capturing
Take element screenshot on ScreenshotOne
Take a screenshot of a specific CSS element
Take full page screenshot on ScreenshotOne
Take a full-page screenshot of a URL
Take screenshot on ScreenshotOne
Take a screenshot of a URL
Take viewport screenshot on ScreenshotOne
Take a screenshot with a specific viewport size
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 the agent capture elements by ID or Class?
Yes. Use the take_element_screenshot tool providing a valid CSS selector (e.g., #header or .product-card). Your agent will return a screenshot of just that element.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
Supported Use Cases for ScreenshotOne
The ScreenshotOne integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Scaling screenshot api via MCP
Add screenshot api functionality to your custom chatbots. The ScreenshotOne MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
Intelligent pdf generation Management
The ScreenshotOne integration exposes LLM-friendly schemas for pdf generation. Tools like Cursor can map natural language directly into executable productivity commands.
ScreenshotOne. 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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