"Canvas" matching MCP servers:

Enables agents to create, read, edit, typecheck, compile, and version local React canvas artifacts through MCP, with inline interactive previews in supporting chat clients.

Provides MCP tools and a local HTTP API to incrementally synchronize Codex conversations into a structured thinking canvas with AI-automated picking and manual override.

Relays a locally running Microsoft Canvas Authoring MCP server to remote MCP clients, enabling natural language editing and control of Power Apps Canvas apps through a WebSocket bridge.

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.

Lets stdio-only MCP clients such as Claude Desktop, Cursor, and local agents reach a streamable-http MCP endpoint by transparently relaying line-delimited JSON-RPC over stdin/stdout, passing upstream HTTP errors through unchanged and supporting token-based authentication.

MCP server for creating interactive terminal canvases (calendar, document, flight) in AI coding assistants. Supports multiple TUI frameworks and integrates with tmux.

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

Provides read-only access to Canvas LMS for students to retrieve courses, assignments, grades, files, discussions, and planner items. Includes optional NotebookLM integration for uploading course content to AI-powered study notebooks.

A local server that enables interaction with Canvas Learning Management System API through Claude Desktop, allowing users to manage courses, access assignments, view announcements, and retrieve course materials.

Enables programmatic interaction with the Canvas LMS API through the Model Context Protocol. It currently supports listing courses with enrollment type filtering and provides interactive help prompts for tool usage.

A Model Context Protocol (MCP) server for Canvas Medical API/SDK development assistance, providing streamlined access to Canvas Medical documentation and AI-powered development tools.

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

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

Connects Canvas LMS to AI assistants, enabling users to list courses and retrieve assignment details through natural language. It features secure multi-institution support with encrypted token storage and a simplified setup process for students.

An MCP server for Claude Code that enables the creation and manipulation of professional-grade SVG graphics using features like layer management, complex path drawing, and animations. It includes AI-assisted design capabilities for color suggestions and layout optimization, supporting exports to SVG and PNG formats.

Enables any MCP client to detect Claude Code configuration that is silently ignored, such as agent files that fail to load, unknown frontmatter fields, parent-folder settings, conflicting MCP server entries and drift since a baseline. Exposes read-only tools that return findings with exact edits, the fix prompt, and explanations of each check, without modifying any files.

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

A Model Context Protocol server that enables creating, modifying, and validating infinite canvas data structures according to the JSON Canvas 1.0 specification.

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

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