@dreamlayer/mcp

Generate and edit images in MCP clients via DreamLayer.

Source

third_party_registry

Updated

2026-09-26

// securityCaution

Runs locally
Open source

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

No copy-paste install info for "@dreamlayer/mcp" yet — see the docs or source repo.

// examples

Text to Image

Prompt

You are connected to @dreamlayer/mcp. Generate an illustration of a futuristic city with neon streets on a rainy night.

Expected

Return a generated image matching the prompt.

Image to Image Style Edit

Prompt

You are connected to @dreamlayer/mcp. Using my uploaded image, transform it into a cyberpunk poster while keeping the main composition.

Expected

Output a style-edited image based on the original.

Remove Background and Upscale

Prompt

You are connected to @dreamlayer/mcp. Remove the background from my uploaded product image, then upscale it for e-commerce use.

Expected

Produce a background-removed, higher-resolution image.

// use cases

Quickly generate concept art for design mockups

Designers can call DreamLayer from an MCP client to generate reference visuals. It is useful for exploring style, composition, and mood quickly.

Batch process image assets

Users who need to edit existing images can use image-to-image, background removal, and upscaling. This fits e-commerce, marketing, and content workflows.

Manage image generation in an AI workflow

Developers can connect DreamLayer to an MCP-compatible client to handle generation, editing, and execution streams in one place. It suits automated image workflows.

// docs

No documentation provided

Check the source repo for usage and examples.

Go to source repo ↗

// FAQ

What is @dreamlayer/mcp?

It is an MCP tool that lets MCP-compatible AI clients generate and edit images through the DreamLayer Agent API. It supports text-to-image, image-to-image, background removal, upscaling, image uploads, and execution stream management.

What image capabilities does it support?

The description explicitly mentions text-to-image, image-to-image, background removal, and upscaling. It also supports image uploads and execution stream management.

What are the prerequisites?

You need an MCP-compatible AI client and access through the DreamLayer Agent API. The provided excerpt does not include further installation or key details.