"Canva" matching MCP servers:

Enables a stdio-capable MCP client to connect through a local OAuth bridge to Canva's official MCP server, forwarding tool and resource requests using read-only scopes and per-user credentials.

A comprehensive Model Context Protocol (MCP) server for interacting with Canva's API. It enables managing designs, brands, assets, and users through natural language.

A proof-of-concept MCP server that augments the Canva CLI with custom tools for generating design briefs and staging assets for the Canva API.

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

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

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.

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

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.

Provides access to a universal design token system with 7 pre-built themes (colors, typography, spacing, motion) and multi-format export capabilities for Canva, Remotion, PPTX, CSS, and W3C JSON.

Converts natural language descriptions into validated CanvasXpress JSON configurations for chart generation using RAG and a built-in visualization knowledge base. It supports over 70 chart types and ensures generated configs are compatible with provided data headers and column types.

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.

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.

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.

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

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

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