How to Use the Lorem Picsum MCP in VS Code Copilot

Q: Can VS Code Copilot generate grayscale images from Lorem Picsum?

Yes, the getrandomimageurl tool includes options for grayscale and blur. Copilot can format these URLs to match your project's visual style.

Q: How does VS Code Copilot handle Lorem Picsum image metadata?

The editor calls getimageinfo to read details like author and dimensions. It uses this data to write accurate image tags in your code.

Q: Can I specify custom file extensions?

Yes, getrandomimageurl lets you define specific file formats. This ensures your code references the exact file extensions your layout requires.

Share Lorem Picsum image generation across your team directly within VS Code Copilot for consistent UI mockups.

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Connect Lorem Picsum MCP to VS Code Copilot

Create your Vinkius account to connect Lorem Picsum 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 Lorem Picsum with VS Code Copilot

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Team-wide image mockups in VS Code Copilot

`get_random_image_url` provides instant, styled placeholder links directly inside your shared workspace. By committing the configuration, every developer on your team can generate identical mockups using the same endpoints. Your editor handles the tool calls in the background and writes the generated URL strings straight into your markdown or layout templates.

Get catalog metadata using this MCP Server

`list_images` lets your development team query the entire public image library without leaving the code editor. Copilot pulls back lists of IDs to populate team-wide prototyping templates. When you need the exact dimensions of a selected asset, `get_image_info` fetches the metadata instantly. This helps you set up accurate CSS container sizes across your codebase.

Seeded layouts for predictable team builds

`get_seed_image_url` allows your team to use static, reproducible image placeholders across different local environments. VS Code Copilot generates consistent asset paths so your staging builds look uniform. To verify the source of these seeded assets, `get_seed_info` retrieves the metadata on demand. This keeps your team aligned on the exact image sizes and configurations.

Setup guide

Set up Lorem Picsum 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 Lorem Picsum 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 Lorem Picsum tools listed. Try asking: "List my recent Lorem Picsum transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "lorem-picsum-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 Lorem Picsum. 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 Lorem Picsum MCP in VS Code Copilot

Save the server settings in your workspace's .vscode/mcp.json file. Once committed to Git, every team member gets instant access to the image tools.

Yes, the `get_random_image_url` tool includes options for grayscale and blur. Copilot can format these URLs to match your project's visual style.

The editor calls `get_image_info` to read details like author and dimensions. It uses this data to write accurate image tags in your code.

Yes, `get_random_image_url` lets you define specific file formats. This ensures your code references the exact file extensions your layout requires.

No, only public image IDs, dimensions, and styling parameters are processed. Your proprietary workspace code remains fully local to your machine.

Use it with your favorite AI tools

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