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PopNx MCPMCP servers for people who use AI · explained in plain words

Dreamlayer

by TheDesignFounderversion 0.4.0-beta.5i★ –iRuns on your computer
Registry nameio.github.TheDesignFounder/dreamlayer

Install

Overview

Description from the maker (original English)

Generate and edit images, remove backgrounds, upscale, and create sprite sheets through DreamLayer.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: DREAMLAYER_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DREAMLAYER_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dreamlayer": {
      "command": "npx",
      "args": [
        "-y",
        "@dreamlayer/mcp"
      ],
      "env": {
        "DREAMLAYER_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add dreamlayer --env DREAMLAYER_API_KEY=your-value -- npx -y @dreamlayer/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dreamlayer": {
      "command": "npx",
      "args": [
        "-y",
        "@dreamlayer/mcp"
      ],
      "env": {
        "DREAMLAYER_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dreamlayer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dreamlayer/mcp"
      ],
      "env": {
        "DREAMLAYER_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DREAMLAYER_API_KEY secret required env
    API key from platform.dreamlayer.io. Generation requires purchased credits.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account TheDesignFounder, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32564 servers in this category
  • Published to the registry more recently than 50% of the other 32564 servers in this category
  • Basic checks equal to or better than 100% of the other 32564 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Dreamlayer safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DREAMLAYER_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0-beta.5) reached the registry 41 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tools MCP

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@dreamlayer/mcp

Image generation and editing tools for MCP-compatible AI clients, backed by the DreamLayer Agent API.

This working tree includes the unpublished 0.5.0-beta.0 video candidate. The published version in the installation section below remains image/sprite-only. For local review use Node >=22.12, pnpm install --frozen-lockfile, pnpm build, and configure the MCP client to run node /absolute/path/to/dist/index.js with an authorized video-enabled API endpoint. This does not publish or deploy anything.

Video candidate tools

dreamlayer_video_quote performs no paid generation. dreamlayer_video_execute admits only a ready owned quote under an explicit user-authorized credit ceiling. Never invent that authorization. Save the idempotency key before execution.

{"tool":"dreamlayer_video_quote","arguments":{"operation":"text_to_video","prompt":"A silent forest video","options":{"resolution":"720p","generate_audio":false,"aspect_ratio":"16:9"}}}

For an image, first use dreamlayer_upload_image with an absolute local path, then use the returned owned asset ID:

{"tool":"dreamlayer_video_quote","arguments":{"operation":"image_to_video","prompt":"Restrained product showcase on a clean white background","input_asset_id":"OWNED_ASSET_UUID","context":{"use_case":"product_showcase","requested_background":"clean_white"},"options":{"model":"auto","duration_seconds":15,"generate_audio":false}}}

{"tool":"dreamlayer_video_execute","arguments":{"quote_id":"READY_QUOTE_UUID","max_credits":40,"idempotency_key":"SAVED_UNIQUE_KEY"}} {"tool":"dreamlayer_execution","arguments":{"execution_id":"EXECUTION_UUID"}} {"tool":"dreamlayer_events","arguments":{"execution_id":"EXECUTION_UUID"}} {"tool":"dreamlayer_download","arguments":{"execution_id":"EXECUTION_UUID","path":"/absolute/new/result.mp4"}}

The execute result includes video_job, not an inline/base64 video. Status and events are read-only and never start work. Progress is actual execution stages, not an invented percentage. A bounded wait or lost response does not cancel a job; recover its identity with the same quote/key. Already consumed quotes remain recoverable after expiry. Retry downloads without generating again.

Default: 10s when absent from both prompt and options, native 720p, no audio unless requested; text aspect 16:9. Explicit durations and issued quotes are unchanged. One image uses native/source-driven aspect. Explicit incompatible settings and extra images are rejected before charging.

Policy video-v3-scoped-intent-10s-20261010 applies only to new quotes. Explicit compatible model first; automatic 4s or 21–30s selects Seedance. Complex action, demanding audio, continuity, white/unknown product backgrounds and uncertain classification prefer Seedance. Clearly simple non-white product, one-speaker talking-head, retro or controlled cinematic-lighting scenes prefer FLUX. Complexity beats style; these are preferences, not quality guarantees. FLUX accepts 5–20s; Seedance 4–30s. Source pixels are not analyzed. Spoken dialogue enables unspecified audio; captions/labels do not. Speech instructions are not discarded by a preceding "no music" clause. Non-white is not also white; a speaker alone does not establish simple action. Shot timestamps are not duration/aspect settings. Overlong timelines fail before spending rather than being compressed; dialogue is never truncated. Live-test defaults remain 5s. Existing quotes retain their model, prompt, settings and price.

No automatic cross-provider retry, fidelity scoring, UI change, extension, upscaling, keyframes or multiple-reference support is included. Downloads use owned 30-day storage, bounded streaming, SHA-256 verification and no overwrite. pricing_pending/disabled access must be reported honestly, not bypassed.

Use it for raster logo concepts, product imagery, marketing visuals, print artwork concepts and game assets. Inspect output quality and task-specific requirements. See the installable agent workflows for task guidance and Godot/Unity import examples.

The full workflow below uses the published sprite-capable beta. Stable latest remains 0.3.0; use the explicit version shown here.

Install

Add it to your client. Claude Code:

claude mcp add dreamlayer --env DREAMLAYER_API_KEY=dlr_live_your_key -- npx -y @dreamlayer/mcp@0.4.0-beta.5

Codex:

codex mcp add dreamlayer --env DREAMLAYER_API_KEY=dlr_live_your_key -- npx -y @dreamlayer/mcp@0.4.0-beta.5

Cursor, or any other stdio MCP client:

{

"mcpServers": { "dreamlayer": { "command": "npx", "args": ["-y", "@dreamlayer/mcp@0.4.0-beta.5"], "env": { "DREAMLAYER_API_KEY": "dlr_live_your_key" } } } }

The key must be in the server's own environment. MCP clients spawn this as a subprocess, so a key exported in your shell does not reach it. That is the most common setup failure, and the server exits with an explanation rather than starting up broken.

Get a key at platform.dreamlayer.io. A new account starts at zero credits. Ordinary image operations cost one credit each; sprite bundles use the frame-count quote described below.

Tools

ToolWhat it does
dreamlayer_capabilitiesRead the contract and the operations this key may run. Spends nothing.
dreamlayer_balanceRead this API key's promotional, purchased, and total available credits. Spends nothing.
dreamlayer_upload_imageUpload PNG, JPEG, WebP, or camera RAW (up to 200 MB) and get an input_asset_id.
dreamlayer_generateGenerate or edit. Returns the event stream.
dreamlayer_executionRead canonical state for one execution.
dreamlayer_eventsResume a stream after a drop, from a last event id.
dreamlayer_downloadSave a completed execution to a new local path without generating again.

Operations

Omit operation and DreamLayer reads the prompt, which may come back asking a clarifying question. Name it and that inference is skipped entirely.

operationNeeds an imageResult
text_to_imageNoA new image from the prompt
image_to_imageYesThe reference, edited as described
background_removeYesThe subject on transparency
upscaleYesTwice the width and height

upscale doubles each side and finished images are capped at 4096 per side, so the longest side of your input must be 2048 or less. A larger one is refused before it costs a credit.

Behaviour worth knowing

A question is not a failure. An ambiguous prompt returns a question event ending in needs_input. Answer it by calling dreamlayer_generate again with respond and the conversation_id.

Retries are safe if you reuse the key. An idempotency_key is generated for you. Pass the same one back to retry after an uncertain response and the original result replays rather than paying twice.

Long runs are truncated, not lost. A stream over 256 events returns what it has, marks truncated, and gives you the execution_id and last event id to resume from.

Errors are stable and provider-neutral. Error tool results include code, reason, message, retryable, and request_id, matching REST and the CLI. A model should branch on reason and retryable, never message text. The response excludes prompts, local filenames, asset URLs, provider details, credentials, and raw upstream responses.

Requirements

Node.js 22.12 or later.

License

MIT. See LICENSE and NOTICE.

Sprite-sheet beta

Sprite requests accept exactly one of options.animation_prompt (1–4000 characters) or an options.action preset (walk, run, idle). Custom prompts can describe characters, creatures, objects, effects or 360° turntables. animation_mode is loop or once; presets default to loop, custom prompts to once. For a turntable, request a stationary camera and rotating subject. Broad requests do not guarantee correct motion, unseen details or successful effect transparency.

Request integer frame_count 7–100 (default 12) and frame_size 32, 64, 128, 256, 512, 720 or 1080 (default 512). These are square export canvases; a larger export does not guarantee additional detail. Aspect ratio and shared alignment are preserved with transparent padding. A bundle contains transparent PNG frames, sheet, atlas, preview and import instructions, including each frame's playback duration. Send background: "keep" in options when transparency is not needed: the frames ship with the generated background in place, plain rather than cut out, and cost the flat plain rate. A frame that cannot be cut out is retried at nearby moments of the same clip, and a single stubborn frame ships with its background rather than failing the sheet; atlas.json lists any such frame in kept_background_frames. Choose a repeating loop or a one-time action with a beginning and ending. If the requested number of distinct frames cannot be delivered, the job fails and held credits are returned. Translucent effects can lose detail or fail; small exports are not automatically pixel art.

Pricing is unchanged across sizes: frames 1–14 cost $0.14 each; additional frames $0.07 each. With background: "keep" every frame is a flat $0.07 with no tier, roughly half a transparent sheet (12 frames: 5.0 credits instead of 9.9). One credit is $0.17. Round the complete order upward once to a tenth of a credit. Check sprite_pricing in capabilities and approve the quote with max_credits. Credits are held during processing, settled after complete delivery and restored on failure/timeout. There is no customer cancellation. Keep the execution ID to resume status. Custom requests need the matching broad-animation server release; older servers reject them. New live generation quality, 100-frame duration and actual cost remain unverified.

Call dreamlayer_upload_image, then dreamlayer_generate with operation: "sprite_sheet", the uploaded input_asset_id, options: {action: "walk", frame_count: 12}, and max_credits set to your approved limit.

Each tool call waits for a bounded interval. If the result remains active, pass its execution_id and last_event_id to dreamlayer_events. When completed, use dreamlayer_download with execution_id and an absolute path ending in .zip. Existing files are never overwritten.

For affordability, compare the complete rounded quote in credits with available. One tenth of a credit is $0.017. Promotional and purchased amounts are displayed rounded down separately, so their displayed sum can be 0.1 credit below available; stored fractions are preserved. Compare against the combined total, not that sum. The order charge rounds only once, never per frame or per tier.

Tool discovery and recovery

Read tools/list for descriptions, input schemas, and operation availability. Read-only calls are marked with readOnlyHint; upload, generation, and local download are not. These annotations describe effects, not permission grants. Generation starts paid work.

Every tool returns structuredContent plus the same JSON serialized in a text block for older clients. Failures set isError: true. Generation results and errors include the idempotency key, including when the server generated it for you. Choose and save your own key before calling when you need recovery even after the MCP process itself is lost.

After interruption, call dreamlayer_execution with the saved execution ID, then dreamlayer_events with the last processed event ID. Retrieve completed work with dreamlayer_download. Never start a replacement generation merely because the stream closed. Keep the same uploaded asset ID and identical arguments when replaying a key.

MCP setup · [API ov

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