Dropl MCP vs PixelDojo

A side-by-side look at the Dropl MCP and PixelDojo MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Dropl MCP logoDropl MCPMultimedia Process · Local subprocess (stdio)Create client-editable photo and video galleries from Cursor or Claude Code, then embed them.61GoodAuth: not declaredPixelDojo logoPixelDojoMultimedia Process · Local subprocess (stdio)Generate images, video, audio and short films with 140+ AI models from any MCP client.61GoodAuth: not declared

Verdict: choose Dropl MCP for multimedia process work as a local process; choose PixelDojo for multimedia process as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Dropl MCP logoChoose Dropl MCP when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: DROPL_API_KEY.
  • You want tools like whoami, list_sites, create_site.
Explore Dropl MCP

PixelDojo logoChoose PixelDojo when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: PIXELDOJO_API_KEY.
  • You want tools like pixeldojo_generate, pixeldojo_edit, pixeldojo_character.
Explore PixelDojo

Feature & specification comparison

Rows where the two servers differ are marked.

SpecDropl MCP logoDropl MCPPixelDojo logoPixelDojo
CategoryMultimedia ProcessMultimedia Process
Quality signal61/100 · Good61/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsDROPL_API_KEYPIXELDOJO_API_KEY
Verified ownerCommunity listingCommunity listing
GitHub stars10
Directory activity 1 views 0 installs 0 upvotes 3 views 0 installs 0 upvotes
Tools3825

Tools & capabilities

Dropl MCP tools 38

  • whoamiShows the connected Dropl account, user, role, and API key (name, prefix, scopes, site restriction) plus the web app URL. Use it first in a session to confirm which account you're acting on, or when another tool reports a sign-in or permission error. Needs a saved sign-in or DROPL_API_KEY; it never returns the full key.
  • list_sitesLists the client sites (one per client website) this connection can reach, with their domains and the plan's site allowance. Use it before creating anything, to find the site id for the client the user means and avoid duplicate sites. Keys restricted to some sites only see those sites.
  • create_siteCreates a client site: the home for one client website's showcases, videos, collections, and feedback. Use it when the client has no site yet; check list_sites first to avoid duplicates. Only call after showing the plan to the user and getting explicit confirmation. Counts toward the plan's site allowance; safe to retry, since the same name and domain return the same site.
  • list_showcasesLists a client site's showcases (embeddable photo and video galleries), newest first, with their type (gallery or projects) and item and project counts. Use it to reuse an existing gallery or portfolio instead of creating a duplicate, or to find a showcase id. Paged: pass nextCursor to get more.
  • create_showcaseCreates a showcase: an embeddable photo/video gallery the client can update from their phone. Use it when the user wants a gallery, portfolio, project photos, or a section the client can update themselves. Requires a site id from list_sites or create_site. Only call after showing the plan to the user and getting explicit confirmation. Use type: "projects" for a portfolio where each project gets its own page, photos, and details (then create_project for each); the type can't change once the showcase has items. Turn on showCategoryFilters when items or projects will be grouped into categories. Safe to retry with the same arguments.
  • get_showcaseSummarizes a showcase: type, settings, item counts by status (processing/ready/failed) and kind, project counts and details (projects showcases), categories with counts, photos without alt text, and failed items. Use it to check that an upload finished processing or to review a gallery before changing it. It returns counts, not items: use list_showcase_items for ids, alt text, and categories, or list_projects for projects.
  • list_showcase_itemsPages through a showcase's items in display order: id, kind, status, file name, the local path it was uploaded from, alt text, and categories. Use it to find item ids for update_items or tag_items, or photos that still need alt text (missingAlt: true). Up to 200 items per call; local paths only appear for files uploaded from this machine.
  • update_itemsSets alt text and adds/removes categories on many showcase items in one call. Use it after an upload to fix alt text or categories by id (files[].id from upload_photos / upload_videos, library video ids, or ids from list_showcase_items) instead of uploading again. Up to 1000 items per call; category names that don't exist yet are created. Alt text: Write concise, descriptive alt text: what the photo shows (e.g. "Cedar deck with glass railing at dusk"), without "image of" or "photo of". Leave it empty for purely decorative photos. Show the user the alt text you plan to write before saving a large batch.
  • update_showcaseChanges a showcase's title, layout, grid fit, category filter tabs, or items per page. Use it when the user wants the gallery to look or page differently; embeds pick up the change without new code. Pass only the settings to change; at least one is required.
  • create_categoryAdds a category (a filter tab) to a showcase. Use it to group items, e.g. one category per project type or source folder, before tagging them; upload and tagging tools also create missing categories by name. If one with the same name or slug exists, it's returned instead of creating a duplicate.
  • tag_itemsAdds and/or removes the same categories on many showcase items (photos or videos) at once. Use it to put uploaded items into filter tabs, with itemIds from upload_photos / upload_videos (files[].id; library video ids work too) or list_showcase_items. Up to 1000 items per call; category names that don't exist yet are created. For per-item changes or alt text, use update_items.
  • upload_photosUploads local photos (JPEG, PNG, WebP, AVIF, HEIC; up to 20 MB each) into a showcase, straight to storage. Use it to turn a folder of project photos into a client-editable gallery: pass files, folders (recursive by default), and globs via paths, and per-photo alt text and categories via files. Skips hidden files and validates file contents. Run with dryRun: true first and show the result to the user; Only call after showing the plan to the user and getting explicit confirmation. Resumable: re-running with the same arguments skips files already uploaded (and still applies changed alt text and categories). categoryFromFolder tags each photo with its top-level folder's name; categories tags every photo (both created if missing). In a projects showcase, pass project: the photos join the end of that project (categories belong to the project there, not to photos); the same file can go into several projects. Returns files: each local path with its showcase item id and status, for update_items and tag_items. Alt text: Write concise, descriptive alt text: what the photo shows (e.g. "Cedar deck with glass railing at dusk"), without "image of" or "photo of". Leave it empty for purely decorative photos.
  • +26 more on the listing page

PixelDojo tools 25

  • pixeldojo_generateGenerate an image or video from a prompt with any model in the PixelDojo catalog. With no `model`, a prompt runs on seedream-5, which makes still images only. For a video, name seedance-2-5, which works from a prompt alone or a starting image. If a provider refuses the content, retry once on wan-3-0-video (video) or seedream-5 (images), the least-restricted models. For a multi-shot film or a music video synced to a song use pixeldojo_film; to change, move or extend an existing clip use pixeldojo_video. These are the models the PixelDojo studios use; name another only when the user asks for it. References: `image_url`/`image_urls` for stills, `video_url` for a source clip, `image_path`/`image_paths` for absolute local files (uploaded to 24h temp storage first). A clip or an audio track URL with no `model` runs on seedance-2-reference; a named model that cannot read a clip is swapped for it and the result says so, while a named model with no audio input drops the track. Model-specific settings go in `params` alongside an explicit `model`. Returns asset URLs, or a jobId for pixeldojo_status when the job outlasts the 30s wait.
  • pixeldojo_editEdit an existing image with a text instruction. Defaults to wan-2.7-image-edit; pass `model` to pick another edit-capable apiId. Supports up to 9 reference images for multi-image composition. For reference images: pass image_url(s) for hosted URLs or image_path(s) for absolute local file paths (skill uploads to 24h temp storage automatically).
  • pixeldojo_characterGenerate or edit consistent characters across shots. Pass reference_image_urls (up to 9) to lock identity — send every photo of the person you have, since more angles hold the face far better than one. Defaults to seedream-5.
  • pixeldojo_storyboardGenerate one short video clip (a single shot, not a multi-panel storyboard) from a scene brief. A text-only brief runs on veo-3.1-fast unless `model` names another allowed video model. With image_url (reference still) or video_url (source clip) and no `model`, it runs on seedance-2-reference, with the same reference routing as pixeldojo_generate. For a multi-shot film with dialogue and a soundtrack, use pixeldojo_film.
  • pixeldojo_upscaleEnhance an image or video. Magnific (default) supports configurable scale_factor and creativity; face-enhance for portraits; video-upscaler (FlashVSR, up to 4K) for clips — pass video_url plus video_duration in seconds.
  • pixeldojo_captionBurn animated word-by-word captions onto a video with speech, the short-form look for TikTok, Reels and Shorts: the spoken word lights up, placed above the platform buttons. Pass video_url; optional style (pop, highlighter, clean) and highlight_color (#RRGGBB for a brand color). 5 credits.
  • pixeldojo_overlayAdd short-form ad text layouts to a finished video, exact text in the brand color, clear of the TikTok/Reels/Shorts UI: hook (title over the first seconds), callout (lower-third label), review (stars, quote, name), progress_bar, countdown (ticking timer), price_tag (new price, old one struck through), offer ("50% OFF" badge) and end_card (logo, headline, button, web address over the held last frame). Pass video_url plus any of them; one call does all. 2 credits.
  • pixeldojo_audioGenerate audio: speech, multi-character dialogue, sound effects, and background music from one prompt (Seed Audio 1.0 by default; plain text-to-speech available). Voice cloning takes hosted reference clip URLs in audio_urls; local audio files are not accepted. Returns an audio URL, or a jobId for pixeldojo_status.
  • pixeldojo_effectsList PixelDojo's one-click effects: 283 video effects (a photo or two in, a 5 s clip out: AI Hug, Earth Zoom In, AI Dance), 30 photo effects (a photo in, a styled image out: action figure, Ghibli style, sticker, aging filter) and one-job tools (remove a watermark, object or background, headshots, photo restoration, relight, logo, thumbnail and poster makers). Search by words, family or category; each result gives the slug, inputs and credit price. Free. Run one with pixeldojo_effect.
  • pixeldojo_effectRun one of PixelDojo's one-click effects on your photos: the prompt is built in, so pass only the slug from pixeldojo_effects and the photos (image_urls, or image_paths for local files), plus texts for tools that ask for them. Video effects return a 5 s clip (usually handed off; poll with pixeldojo_status), photo effects and tools an image. Costs the credits the listing shows.
  • pixeldojo_librarySearch your Library, newest first. source=media (default): saved media (permanent) and recent API/MCP generations (deleted 1 hour after they finish), as URLs to reuse as references. source=characters: saved Character Studio characters and elements, each usable as @Name in any prompt.
  • pixeldojo_saveSave a generated image or video into the user's My Media library permanently ("save this", "keep it"). Results otherwise expire 1 hour after they finish. Pass the result URL; it is safety-checked before it is kept.
  • +13 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Dropl MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "dropl-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@dropl/mcp"
      ],
      "env": {
        "DROPL_API_KEY": "YOUR_DROPL_API_KEY_HERE"
      }
    }
  }
}

PixelDojo

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "pixeldojo": {
      "command": "npx",
      "args": [
        "-y",
        "@pixeldojo/mcp"
      ],
      "env": {
        "PIXELDOJO_API_KEY": "YOUR_PIXELDOJO_API_KEY_HERE"
      }
    }
  }
}

Frequently asked questions

Dropl MCP is categorized under Multimedia Process and uses a local stdio subprocess. PixelDojo belongs to Multimedia Process and uses a local stdio subprocess. Pick Dropl MCP for multimedia process work and PixelDojo for multimedia process.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Dropl MCP has no declared pricing — check the project's own site. PixelDojo has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add dropl-mcp and pixeldojo as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Dropl MCP has a quality signal of 61/100 (Good) with 1 views, 0 installs and 1 GitHub stars. PixelDojo has 61/100 (Good) with 3 views, 0 installs and 0 GitHub stars.