How to Use the Leonardo.ai (Generative AI & Models) MCP in Cursor

Q: Will Cursor support variations with Leonardo.ai (Generative AI & Models)?

Absolutely, the createvariation tool is available for the AI to call. It allows for iterative design changes directly inside your code files.

Q: Can I use Leonardo.ai (Generative AI & Models) for image-to-image tasks in Cursor?

Use the uploadinitimage tool to prepare your source files. The AI can then reference these uploads for high-fidelity generation tasks.

Build visual assets into your codebase with Cursor and the Leonardo.ai (Generative AI & Models) MCP Server.

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Connect Leonardo.ai (Generative AI & Models) MCP to Cursor

Create your Vinkius account to connect Leonardo.ai (Generative AI & Models) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Leonardo.ai (Generative AI & Models) with Cursor

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Claude

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Generate Code-Integrated Visuals in Cursor

Call `generate_image` while in Agent mode to inject real asset generation into your development workflow. The AI receives the actual output rather than placeholders. Use the returned Generation ID with `get_generation` to verify success before finalizing your code. It makes building UI assets a part of your standard coding flow.

Manage Custom Models within Cursor

Query your fine-tuned assets using `list_custom_models` to ensure you are coding against the right versions. It keeps your model references accurate. Validate model specifications with `get_model` to avoid runtime errors. This keeps your implementation aligned with the specific capabilities of your chosen engine.

Automate Asset Cleanup inside Cursor

Use `list_user_generations` to audit what your account has produced during your current session. You gain full visibility into your generated history. Remove unnecessary logs with `delete_generation` to keep your workspace clean. You control the state of your Leonardo instance without leaving the editor.

Setup guide

Set up Leonardo.ai (Generative AI & Models) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Leonardo.ai (Generative AI & Models) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Leonardo.ai (Generative AI & Models) transactions." If the MCP tools are loaded correctly, Cursor will call the Leonardo.ai (Generative AI & Models) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Leonardo.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Leonardo.ai (Generative AI & Models) MCP in Cursor

Create a .cursor/mcp.json file in your root directory. Define the server path there to enable the tools for your current project.

Absolutely, the `create_variation` tool is available for the AI to call. It allows for iterative design changes directly inside your code files.

Use the `upload_init_image` tool to prepare your source files. The AI can then reference these uploads for high-fidelity generation tasks.

Yes, Agent mode allows the AI to autonomously invoke these tools. It writes the logic based on the actual API responses it receives.

We secure your session using an endpoint token that limits access to your account data. No local generation history is stored outside the platform's encrypted environment.

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