Compatible with every major AI agent and IDE
Create variation on Leonardo.ai (Generative AI & Models)
Create an unzoom context extension expanding a Leonardo.ai generated image
Delete generation on Leonardo.ai (Generative AI & Models)
Delete a Leonardo generation history log and its image array explicitly
Generate image on Leonardo.ai (Generative AI & Models)
Returns a Generation ID used to poll for the output. Generate images from a text prompt using Leonardo.ai
Get generation on Leonardo.ai (Generative AI & Models)
Get the active status or completed result of a generation
Get model on Leonardo.ai (Generative AI & Models)
Get specific details and parameters of a Leonardo.ai model
Get user on Leonardo.ai (Generative AI & Models)
Get active authenticated Leonardo AI user metrics
List custom models on Leonardo.ai (Generative AI & Models)
List fine-tuned and custom-trained models available explicitly on your Leonardo instance
List platform models on Leonardo.ai (Generative AI & Models)
List all global public platform models hosted on Leonardo.ai
List user generations on Leonardo.ai (Generative AI & Models)
List recent image generations initiated by a specific Leonardo user
Upload init image on Leonardo.ai (Generative AI & Models)
Acquire a secure presigned URL tracking for image-to-image inference datasets
How Vinkius protects your data
Can my agent perform image-to-image transformations?
Absolutely. Use the upload_init_image tool to acquire a secure presigned URL for your source image. Once uploaded, you can command your agent to trigger a generation that uses that image as a reference for guided AI transformations.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering Leonardo.ai (Generative AI & Models) via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Leonardo.ai (Generative AI & Models) MCP server to manage operations across the following domains.
generative ai & AI Execution
Deploy the Leonardo.ai (Generative AI & Models) toolkit to manage generative ai. The integration offers robust endpoints for ChatGPT to control ai frontier settings.
Connecting image generation with Cursor
Add Leonardo.ai (Generative AI & Models) to your workspace to support image generation automation. The integration processes the required parameters for ai frontier execution by LLMs.
Leonardo.ai (Generative AI & Models). 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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