"Canva" matching MCP servers:

Enables creation and management of Canva presentations through natural language, leveraging LLM for narrative planning and integrating with Canva's API for design operations.

Model Context Protocol server for AI Canvas. Search, inspect, and install open-source React and Tailwind components from the aicanvas.me registry directly in your AI editor.

A local stdio MCP server for visual AI work, offering an Excalidraw infinite canvas, image generation and editing, HTML drafts, presentations, and durable task recovery within a project workspace.

Enables MCP-capable AI tools such as Claude Code and Codex to operate the locally running XuanShang infinite canvas under one unified ruleset: creating projects and certification groups, uploading and certifying images and reference videos, placing assets on the canvas, building Seedance video nodes, submitting generation, and converting drafts to final videos. Credit-spending actions always require explicit user confirmation, and the plugin never reads or stores API keys.

Enables users to run an Excalidraw infinite canvas inside a Codex MCP App, generate visual plans and images from briefs, and modify images via arrow annotations while saving projects locally.

Enables agents to turn natural-language chip architecture and product visualization requests into image-generation prompts, structural references, and editable source specifications. Supports engineering diagrams, algorithm dataflows, state and timing interactions, system illustrations, and product renders.

Enables MCP clients to operate a RunningHub infinite canvas through a local bridge and Chrome extension using the current logged-in session: reading nodes and prompts, cloning templates, laying out and connecting nodes, uploading images/audio/video, submitting generation, and archiving outputs. Supports both the international (www.runninghub.ai / rhtv.runninghub.ai) and China sites, with dry-run previews and revision-checked edits.

A MCP server that bridges web canvas with local Codex/Claude, exposing 23 tools for reading, creating, modifying, connecting, and generating canvas content via local HTTP bridge and stdio MCP.

Analyzes a GitHub repository and user to filter meaningful commits and generate a Cursor Canvas (.canvas.tsx) inclusion tree.

Lets agents directly read and edit the live ComfyUI canvas in a browser while retaining official Comfy MCP headless tools and local management.