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  1. Home
  2. ๐ŸŽฅ Multimedia Process
  3. Modellix Agent Canvas
Modellix Agent Canvas logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:32:27 PM

Modellix Agent Canvas

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe havenโ€™t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time โ€” check back soon.
View RepositoryVisit Website

Local MCP canvas for Modellix image generation, editing, task recovery, and visual project work.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "modellix-agent-canvas": {
      "command": "npx",
      "args": [
        "-y",
        "--package",
        "@modellix/agent-canvas@0.1.17",
        "modellix-agent-canvas"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (13) Directory Badge Claim listing Alternatives๐ŸŽฅ More in Multimedia Process

Capabilities & Tool Schemas (13) ~77 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Modellix Agent Canvas.

get_modellix_canvas_status

Callable MCP tool function

start_modellix_api_key_setup

Callable MCP tool function

open_modellix_canvas

Callable MCP tool function

get_canvas_context

Callable MCP tool function

create_canvas_page

Callable MCP tool function

rename_canvas_page

Callable MCP tool function

Documentation Overview

Modellix Agent Canvas

English ยท ็ฎ€ไฝ“ไธญๆ–‡

npm version

Modellix Agent Canvas is a local, workspace-bound stdio MCP plugin for visual AI work. It brings an Excalidraw infinite canvas, Modellix image generation and editing, paid-operation confirmation, durable task recovery, HTML drafts, presentations, and project-local persistence into one workspace.

It supports Codex, Cursor, Claude Code, OpenCode, and other applications that implement local stdio MCP. Hosts with MCP Apps can embed the complete canvas; other compatible hosts use the same MCP server through a short-lived loopback page. Canvas runs locally and does not require a deployed Canvas service.

Product tour

These screenshots come from one real local Canvas session. The reproducible walkthrough uses the original local artwork in docs/images/demo/creative-studio.webp, so you can explore image editing, HTML capture, and presentations without first creating a paid image task.

The single Lumen Creative Direction story below verifies seven connected capabilities instead of showing unrelated examples:

  1. Import a real local image as an ordinary canvas asset.
  2. Turn the selection into the primary reference for a controlled image edit.
  3. Inspect the routed model, effective specification, quantity, and price disclosure before any paid submission.
  4. Edit HTML beside a CSP-restricted live preview and capture the rendered result back to Canvas.
  5. Reuse the same visual direction in a five-slide presentation.
  6. Play the deck in a clean full-screen sequence.
  7. Export the page as PNG/SVG, export the deck as a PNG sequence, or back up and restore the project.

A real image workflow

Drop an image onto the canvas or select a completed generation, then describe only the change you want. The selected image becomes the primary reference; output size, count, background, quality, and additional ordered references remain editable before preparation.

AI image workflow

Review the route before spending

prepare_modellix_image_task is free. It shows the actual model, routing reason, requested and effective specifications, quantity, and the available price disclosure before a separate confirmation. This documentation run returned an unavailable quote, so no paid submission was made; do not confirm an unquoted task when you have a fixed budget.

Paid image task preview

Safe HTML drafts

Edit HTML source beside an isolated live preview, capture it back to the canvas, or export the source as a ZIP archive.

Safe HTML draft

Presentation editor

Create editable slide decks from several layouts, drop visual assets into ordinary slide elements, manage the sequence visually, present it, or export a PNG sequence.

Presentation editor

Full-screen playback

The same image-led slide plays in the built-in presenter with previous/next controls and a visible slide count.

Presentation playback

Export and project backup

Export the current page at 1ร—, 2ร—, or 4ร— PNG, save SVG, download a presentation PNG sequence, or create and restore a project backup.

Export and project backup

Reproduce the walkthrough

  1. Install the plugin through one host path below, then open it in a real project workspace.
  2. Call get_modellix_canvas_status and open_modellix_canvas with the same absolute workspace path.
  3. Drop creative-studio.webp onto the canvas, select it, and enter an edit instruction.
  4. Choose 16:9 ยท Landscape, click Prepare edit, and inspect the returned model, route, effective specification, quantity, and price disclosure. Preparation is free.
  5. Confirm only when the disclosed total fits your budget. Otherwise choose Back to edit; the walkthrough does not require a paid submission.
  6. Open HTML, save the isolated draft, and choose Create screenshot to insert the rendered result back into Canvas.
  7. Open Presentation, create a starter deck, and drop the visual into a slide. Use Play or PNG sequence to finish.

What it includes

  • Infinite canvas: text, shapes, lines, arrows, freehand drawing, frames, images, grouping, locking, layers, alignment, a project-persisted personal library, and action-level undo and redo.
  • Multi-page projects: create, rename, duplicate, reorder, and delete pages while preserving an independent viewport and history for every page.
  • Image placeholders: reserve a target area before generation; the selected result replaces the placeholder and remains undoable, while extra results are placed predictably beside it.
  • Image generation and editing: text-to-image, single-image editing, ordered 2โ€“10 image references, an explicit primary reference, annotation-based editing, transparent backgrounds, fidelity controls, and 1โ€“4 outputs.
  • Model-aware routing: the user states the creative requirement; prepare returns the selected model, routing reason, effective specification, limitations, and estimated total cost.
  • Paid-operation safety: prepare is free, submit requires an explicit one-time confirmation, duplicate work is locally deduplicated, and an unknown submission is never retried automatically.
  • Durable tasks: task IDs, state transitions, and local results are persisted in an append-only ledger, so work can continue after the host or browser closes.
  • HTML drafts: source editing, CSP-restricted sandbox preview, refresh, canvas capture, and source ZIP export.
  • Presentations: 16:9, 4:3, and custom ratios; title, content, image, comparison, and blank layouts; thumbnails, reordering, duplication, presentation mode, and PNG-sequence export.
  • Import and export: selected area or full-page PNG/SVG at 1ร—, 2ร—, or 4ร—, presentation PNG ZIP, and confirmed project JSON backup restore.
  • English, Chinese, and Japanese UI: English is the default. The language switch in the upper-right updates the Canvas, Excalidraw controls, and secure API Key form, and the choice is saved with the project.
  • Local security: credentials use the modellix-cli system credential store and are never written to chat, MCP arguments, URLs, project files, or task ledgers.

Requirements

  • Node.js ^20.19.0 || >=22.12.0
  • Access to the production API at https://api.modellix.ai
  • A valid API Key from the Modellix console

Choose one installation path only. Codex, Cursor, and Claude users install once from the host's Git or Marketplace entry; the plugin loads its manifest and Skills and automatically resolves the pinned npm runtime in the background. OpenCode and generic MCP users add the npm-backed MCP once. Users never run a second npm or CLI installation command. The package includes the tested modellix-cli 0.0.8 runtime as an offline fallback. On the first CLI use of each MCP process, Canvas checks the public npm latest tag, atomically caches that exact CLI version in the user-local Modellix cache, and pins it for the rest of the process. A registry or compatibility failure falls back to the bundled version, so a CLI release cannot make the installed Canvas disappear. Set MODELLIX_CLI_AUTO_UPDATE=0 only when a deployment must remain on the bundled fallback. Existing valid CLI credentials are reused; otherwise the first-use prompt only asks for a Modellix API Key.

Optionally run npm exec --yes --package=@modellix/agent-canvas@0.1.17 -- modellix-agent-canvas --doctor from outside the source checkout to verify the published package's Node.js requirement, production dependencies, bundled Widget, and active version. This is a diagnostic, not a second installation path.

Quick start

Install from the host's plugin interface whenever possible.

Agent Plugins 1.0.0 clients

Install this repository or its npm package through any compatible Agent Plugins client. The portable core is the root plugin.json, mcp.json, and skills/ directory. The manifest and MCP configuration target the official 1.0.0 schemas; fixed-location discovery loads the three Agent Skills and the generic stdio server without relying on a host-specific manifest.

Codex

sh
codex plugin marketplace add Modellix/modellix-agent-canvas
codex plugin add modellix-agent-canvas@modellix

The Git marketplace installs the plugin files from this repository. Its Codex adapter starts a single Node bootstrap process, installs the pinned npm runtime into a user-local cache on first use, and then imports the MCP server into that same process. Warm starts reuse the validated cache without retaining an npx wrapper process or requiring a global CLI installation.

Cursor

Run the following command in Cursor:

text
/add-plugin modellix-agent-canvas

For a GitHub or local-checkout install, open Customize โ†’ Plugins โ†’ + Add and select the repository root. Cursor reads .cursor-plugin/marketplace.json, then offers Modellix Agent Canvas from the modellix personal marketplace. This is separate from the Open Plugins metadata submitted to Cursor Directory.

Claude Code

Terminal
claude plugin marketplace add Modellix/modellix-agent-canvas
claude plugin install modellix-agent-canvas@modellix

After enabling or upgrading the plugin, run /reload-plugins, then use /mcp to verify the connection.

OpenCode and other MCP hosts

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
13
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Modellix Agent Canvas

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "modellix-agent-canvas": { "command": "npx", "args": ["-y","--package","@modellix/agent-canvas@0.1.17","modellix-agent-canvas"] } }

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Technical Specs & Signals

Category๐ŸŽฅMultimedia Process
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
Last updatedAug 12, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 12, 2026
49Quality signal: Fair ยท 49/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev ยท @modellix/agent-canvas@0.1.17 (npm)

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More in ๐ŸŽฅ Multimedia Process โ†’Best MCP servers for Multimedia & Media Processing โ†’Alternatives to Modellix Agent Canvas โ†’Install in Claude DesktopInstall in CursorInstall in VS CodeSetup guides for all 13 MCP clients