Can I check the progress of my image generation through my agent?

Yes. Use the `get_generation_status` tool with the Generation ID provided when you started the request. Your agent will poll the Leonardo API and return the final image URLs and metadata once the process is complete.

How do I find which AI models are available for generation?

Ask your agent to `list_platform_models` or `list_custom_models`. It will return a list of available UUIDs and model names (like Phoenix or Kino XL), which are required when triggering a new image generation request.

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.

Leonardo.ai (Generative AI & Models) MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Leonardo.ai (Generative AI & Models)
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

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Open in ChatGPT Open in Claude Open in Perplexity

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Leonardo.ai (Generative AI & Models) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "leonardoai-generative-ai-models": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Leonardo.ai (Generative AI & Models) MCP Server

Connect your Leonardo.ai account to any AI agent and take full control of state-of-the-art generative image production and custom AI models through natural conversation.

Cursor's Agent mode turns Leonardo.ai (Generative AI & Models) into an in-editor superpower. Ask Cursor to generate code using live data from Leonardo.ai (Generative AI & Models) and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Generation Orchestration — Initiate asynchronous image generation requests defining precise prompts, model UUIDs, and dimensions directly from your agent
Model Discovery — Enumerate global platform models (Phoenix, Kino XL) and your fine-tuned custom models to understand available inference capabilities
Image-to-Image — Acquire secure presigned URLs to upload initial images for guided AI generation and reference-based transformations
Precision Variations — Create unzoom context extensions and visual variations expanding previously generated images while maintaining structural consistency
Inventory Audit — List recent user generations and retrieve absolute image URLs, prompts used, and exact hardware metadata securely
User Metrics — Monitor active account metrics and token usage allocations to manage your generation budget and operational costs in real-time

The Leonardo.ai (Generative AI & Models) MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor 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 Leonardo.ai (Generative AI & Models) to Cursor via MCP

Follow these steps to integrate the Leonardo.ai (Generative AI & Models) MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Leonardo.ai (Generative AI & Models)

Open Agent mode in chat and ask: "Using Leonardo.ai (Generative AI & Models), help me..." — 10 tools available

Why Use Cursor with the Leonardo.ai (Generative AI & Models) MCP Server

Cursor AI Code Editor provides unique advantages when paired with Leonardo.ai (Generative AI & Models) through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Leonardo.ai (Generative AI & Models) + Cursor Use Cases

Practical scenarios where Cursor combined with the Leonardo.ai (Generative AI & Models) MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Leonardo.ai (Generative AI & Models) MCP Tools for Cursor (10)

These 10 tools become available when you connect Leonardo.ai (Generative AI & Models) to Cursor via MCP:

create_variation

Create an unzoom context extension expanding a Leonardo.ai generated image

delete_generation

Delete a Leonardo generation history log and its image array explicitly

generate_image

Returns a Generation ID used to poll for the output. Generate images from a text prompt using Leonardo.ai

get_generation

Get the active status or completed result of a generation

get_model

Get specific details and parameters of a Leonardo.ai model

get_user

Get active authenticated Leonardo AI user metrics

list_custom_models

List fine-tuned and custom-trained models available explicitly on your Leonardo instance

list_platform_models

List all global public platform models hosted on Leonardo.ai

list_user_generations

List recent image generations initiated by a specific Leonardo user

upload_init_image

Acquire a secure presigned URL tracking for image-to-image inference datasets

Example Prompts for Leonardo.ai (Generative AI & Models) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Leonardo.ai (Generative AI & Models) immediately.

"Generate a futuristic cityscape at sunset using the Phoenix model"

"List my last 3 image generations"

"Check my current token balance and account limits"

Troubleshooting Leonardo.ai (Generative AI & Models) MCP Server with Cursor

Common issues when connecting Leonardo.ai (Generative AI & Models) to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Leonardo.ai (Generative AI & Models) + Cursor FAQ

Common questions about integrating Leonardo.ai (Generative AI & Models) MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.