How to Use the DummyImage MCP in Claude Code

Q: How do I add DummyImage to Claude Code?

Use the claude mcp add command with the server URL. This connects the tool to your terminal session for immediate use.

Q: Can Claude Code use DummyImage for automated testing?

Yes. The agent uses generateimage to populate components during test runs, ensuring your UI logic works with actual image URLs.

Q: How do I verify the DummyImage connection in Claude Code?

Run claude mcp list to check your active connections. If the server is listed, the generateimage tool is ready for your terminal commands.

Generate placeholder images directly from your terminal using Claude Code and this MCP Server.

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Connect DummyImage MCP to Claude Code

Create your Vinkius account to connect DummyImage to Claude Code 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 DummyImage with Claude Code

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Headless image generation with Claude Code

Integrate the `generate_image` tool into your terminal workflow. Claude Code calls this server to create placeholders during your build or test scripts. This is ideal for automated UI testing. You get a valid image URL without needing a browser or a manual setup.

Standardized terminal output

This MCP Server returns clean URLs that you can pipe into your scripts. It works perfectly within your existing terminal-based CI/CD pipelines. Claude Code executes the tool call and captures the response. It handles the data flow so you stay in the CLI.

Efficient CLI integration

Connect the server using the standard CLI flags. Once active, Claude Code can invoke `generate_image` as part of any multi-step task you assign it. It removes the need for manual asset generation. Your scripts handle the placeholder creation automatically.

Setup guide

Set up DummyImage 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 dummyimage-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest DummyImage transactions." It will automatically discover and invoke the available DummyImage tools.

Terminal

claude mcp add --transport http dummyimage-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 DummyImage 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": {
    "dummyimage-mcp": {
      "type": "url",
      "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 DummyImage. 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 DummyImage MCP in Claude Code

Use the `claude mcp add` command with the server URL. This connects the tool to your terminal session for immediate use.

Yes. The agent uses `generate_image` to populate components during test runs, ensuring your UI logic works with actual image URLs.

It supports standard HTTP/SSE transports. You configure the connection in your ~/.claude.json file, and it is ready to go.

Run `claude mcp list` to check your active connections. If the server is listed, the `generate_image` tool is ready for your terminal commands.

The server uses endpoint tokens for authentication. Your generated image requests remain strictly local to your environment and isolated from public traffic.

Use it with your favorite AI tools

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