Open Multi - Agent Canvas is an open - source multi - agent chat interface that supports managing multiple agents in dynamic conversations for travel planning, research, and general task processing.

Canvas MCP is a set of tools that enables AI agents to interact with Canvas LMS and Gradescope, providing functions such as course resource query and assignment management.

The JSON Canvas MCP Server is an implementation based on the JSON Canvas 1.0 specification, providing tools for creating, modifying, and validating infinite canvas data structures.

A local API interface server for the Canvas learning management system

An MCP server based on the Nova Canvas model on Amazon Bedrock, supporting multiple image generation and editing functions.

An MCP server for academic tools, integrating the functions of the Canvas and Gradescope platforms

A Node.js - based Canvas API interaction server that provides management functions for courses, assignments, grades, etc., and supports integration with the Claude desktop client.

An AI image generation MCP service based on the Amazon Bedrock Nova Canvas model

This is an MCP server connected to the Paper design platform's WebSocket API, providing canvas node operation tools for document management and node creation, deletion, modification, and query through editors such as Cursor.

Vibe-Eyes is an MCP server project that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debugging information.

An MCP server that implements the JSON Canvas specification, providing tools for creating, modifying, and validating infinite canvas data structures.

An MCP server based on the Amazon Bedrock Nova Canvas model, providing high-quality AI image generation services, supporting functions such as text description image generation, negative prompt optimization, size configuration, and seed control.

An MCP server implementation for the Canvas Learning Management System, providing functions such as course listing and supporting integration with Cursor.

The Canvas LMS MCP server is a bridge connecting an AI system and the Canvas Learning Management System, providing access to educational data such as courses, assignments, and quizzes.

This is a Canvas Assignment Assistant MCP service that allows users to interact with Canvas/Instructure courses and assignments via an LLM (such as Claude Desktop), including retrieving, searching, and summarizing course and assignment information.

This project uses advanced AI prompting techniques to enable an AI agent (based on Google Gemini model) to interact with the legacy Windows application MSPaint through the Model Context Protocol (MCP) to solve complex math problems and draw solutions on the canvas.

The Canvas LMS MCP server provides an API interface for students to access Canvas LMS resources.