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

Q: How do I connect the Leonardo.ai (Generative AI & Models) MCP Server to Claude Code?

Run the command claude mcp add --transport http -- in your terminal. Ensure your flags are positioned correctly before the server name.

Q: Does Claude Code work with Leonardo.ai (Generative AI & Models) for image-to-image inference?

It does. You can use uploadinitimage to get a presigned URL, then pass that to the generation tool for automated image-to-image processing.

Q: Can I verify my installation of Leonardo.ai (Generative AI & Models) in the terminal?

Run claude mcp list after adding the server. This confirms the tools are recognized and ready for your scripts.

Q: How does the server handle my generation history data?

The server uses getgeneration to query your history. No personal user data is stored on the server side; it only facilitates the request to the API.

Run Leonardo.ai (Generative AI & Models) MCP Server from the terminal with Claude Code for headless image generation.

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Setup Leonardo.ai (Generative AI & Models) with Claude Code

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Claude

Perplexity

Headless image generation for scripts

Invoke `generate_image` directly from your shell to pipe results into your CI/CD pipelines. Claude Code captures the generation ID and tracks the output status automatically. This is ideal for automated asset creation workflows. You can build scripts that trigger generations and move the resulting files without a browser.

Audit and manage models via CLI

List your available fine-tuned models using `list_custom_models` to verify what is ready for your task. You can pipe this output into other shell utilities to filter or sort your model list. It makes managing a large library of assets simple. You get direct access to model metadata without leaving your terminal session.

Batch asset cleanup

Use `list_user_generations` combined with `delete_generation` to scrub your history in bulk. Claude Code handles the loop, deleting logs that match your criteria. This is perfect for clearing out test data or old generations. You maintain a clean environment through simple terminal commands.

Setup guide

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

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see leonardoai-generative-ai-models-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Leonardo.ai (Generative AI & Models) transactions." It will automatically discover and invoke the available Leonardo.ai (Generative AI & Models) tools.

Terminal

claude mcp add --transport http leonardoai-generative-ai-models-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

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

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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

Run the command `claude mcp add --transport http -- ` in your terminal. Ensure your flags are positioned correctly before the server name.

It does. You can use `upload_init_image` to get a presigned URL, then pass that to the generation tool for automated image-to-image processing.

Run `claude mcp list` after adding the server. This confirms the tools are recognized and ready for your scripts.

Yes. The server communicates over HTTPS, ensuring your API key and generation data remain private during transmission.

The server uses `get_generation` to query your history. No personal user data is stored on the server side; it only facilitates the request to the API.

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