"How to fetch assignments from Canvas" matching MCP servers:

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 bidirectional communication between AI agents and a tldraw canvas, allowing agents to push content as interactive cards and users to select cards for conversation context.

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.

MCP server for a persistent local whiteboard that lets AI assistants read, add, update, and delete canvas elements, with undo/redo and provenance tracking.

Enables AI agents to manage routes on the Design Canvas infinite canvas app, including adding, removing, listing routes, and capturing screenshots of the canvas.

Enables LLM-driven painting agents to control Krita through MCP tools, iteratively reconstructing a target image by observing canvas snapshots, diff heatmaps, and session state. It exposes observation, drawing, brush, color, layer, selection, vector, filter, document I/O, and session tools for closed-loop artwork generation.

Enables coding agents to generate and modify real frontend source code while users inspect, compare, and interact with the result on an infinite canvas.

Enables creating and editing Figma-like 16:9 HTML slide decks through a visual canvas, with tools to open existing HTML, manage decks, and export slides as presentable HTML.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables AI assistants to inspect, modify, export, and validate design documents with 47 tools covering design, code generation, branding, and print/mockup workflows.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.

Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.

Enables Cursor AI to read and modify Figma designs programmatically via the Model Context Protocol.

An MCP server that integrates AI agents with Figma, enabling reading and programmatic modification of designs.

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Enables users to create and edit local Excalidraw boards via MCP tools, pin and resolve image-anchored comment threads, insert images, export data, and safely handle concurrent edits with revision checks.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables AI agents to read, analyze, and modify Figma designs, including bulk style updates, accessibility audits, comment triage, and code generation from designs.

Enables AI agents to read, inspect, and edit Figma files through a Model Context Protocol server with 107 tools, visual snapshots, fidelity tools, and optional REST API access.

Enables Cursor AI to read and modify Figma designs via the Model Context Protocol, allowing programmatic control over documents, components, styles, and more.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

MCP server that enables AI agents to read, analyze, and modify Figma designs, including comment management via Figma's REST API. Works with any Figma account and supports parallel execution.

Enables AI agents to read and manipulate visual UI designs drawn on a canvas, translating them into precise JSON specs for production code generation.

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.