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

Q: Can VS Code Copilot use Leonardo.ai (Generative AI & Models) for variations?

Yes, the createvariation tool is fully exposed. It allows your developers to iterate on images without manual platform intervention.

Q: Does Leonardo.ai (Generative AI & Models) support team-shared uploads in VS Code Copilot?

The uploadinitimage tool generates secure URLs for your source images. This allows team members to share reference datasets for consistent outputs.

Q: How do I monitor team usage of Leonardo.ai (Generative AI & Models) in VS Code Copilot?

The getuser tool returns your authentication metrics. You can use this to keep an eye on credit usage across your organization.

Deploy shared asset generation tools across your team using VS Code Copilot and the Leonardo.ai (Generative AI & Models) MCP Server.

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Connect Leonardo.ai (Generative AI & Models) MCP to VS Code Copilot

Create your Vinkius account to connect Leonardo.ai (Generative AI & Models) to VS Code Copilot 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 VS Code Copilot

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Team-Wide Visual Generation in VS Code Copilot

Commit the MCP configuration to your repository to give every developer access to `generate_image`. Everyone on the team uses the same verified connection. Track generation progress with `get_generation` to ensure consistency in team-produced assets. It standardizes how your group interacts with the API.

Standardized Model Discovery for VS Code Copilot

List platform-wide models using `list_platform_models` so the whole team stays on the same page. You avoid using deprecated or unsupported visual engines. Check specific model parameters with `get_model` to ensure all team members understand the constraints of their chosen assets. This prevents configuration drift.

Shared Asset Governance via VS Code Copilot

Audit team generation logs with `list_user_generations` to maintain project oversight. It provides a clear view of how assets are being created. Manage storage by calling `delete_generation` to purge outdated logs. You maintain a tidy environment across the entire engineering department.

Setup guide

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

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

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

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Leonardo.ai (Generative AI & Models) tools listed. Try asking: "List my recent Leonardo.ai (Generative AI & Models) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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 VS Code Copilot

Add the server to your .vscode/mcp.json file in the repo root. This ensures every developer on your team inherits the same tool registry.

Yes, the `create_variation` tool is fully exposed. It allows your developers to iterate on images without manual platform intervention.

The `upload_init_image` tool generates secure URLs for your source images. This allows team members to share reference datasets for consistent outputs.

The `get_user` tool returns your authentication metrics. You can use this to keep an eye on credit usage across your organization.

The server uses isolated auth tokens that restrict data access to the authenticated user. Your generation records are partitioned and handled through a secure, encrypted transit channel.

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