Local MCP canvas for Modellix image generation, editing, task recovery, and visual project work.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
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.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Modellix Agent Canvas.
get_modellix_canvas_statusCallable MCP tool function
start_modellix_api_key_setupCallable MCP tool function
open_modellix_canvasCallable MCP tool function
get_canvas_contextCallable MCP tool function
create_canvas_pageCallable MCP tool function
rename_canvas_pageCallable MCP tool function
English ยท ็ฎไฝไธญๆ
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.
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:
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.

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.

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

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.

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

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

get_modellix_canvas_status and open_modellix_canvas with the same absolute workspace path.creative-studio.webp onto the canvas, select it, and enter an edit instruction.16:9 ยท Landscape, click Prepare edit, and inspect the returned model, route, effective specification, quantity, and price disclosure. Preparation is free.modellix-cli system credential store and are never written to chat, MCP arguments, URLs, project files, or task ledgers.^20.19.0 || >=22.12.0https://api.modellix.aiChoose 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.
Install from the host's plugin interface whenever possible.
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.
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.
Run the following command in Cursor:
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.
After enabling or upgrading the plugin, run /reload-plugins, then use /mcp to verify the connection.
Factual signals from GitHub, npm, and our automated checks โ not a rating.
No reviews yet โ be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/modellix-agent-canvas)<a href="https://allmcps.com/mcp/modellix-agent-canvas"><img src="https://allmcps.com/api/badge/modellix-agent-canvas?style=directory" alt="Modellix Agent Canvas on AllMCPs" /></a>