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

Enables AI agents to interact with Canvas LMS and Gradescope, allowing users to query courses, assignments, modules, calendar events, and find relevant resources using natural language.

Enables interaction with Canvas LMS courses and assignments directly from your LLM, allowing you to retrieve, search, and summarize course information, check due dates, and access assignment details without leaving your AI assistant.

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.

Enables Claude to interact with Canvas LMS to manage coursework, track assignments, and view grades through natural language. It supports comprehensive academic tasks including checking rubrics, participating in discussion boards, and submitting assignments.

Provides secure access to Canvas LMS at Texas Tech University, enabling Claude to retrieve courses, assignments, grades, announcements, discussions, and calendar events from your student account.

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.

Connects Claude Desktop to Canvas LMS to monitor academic activities like assignments, announcements, and upcoming deadlines. It enables users to track courses and pending tasks through a unified interface using the Canvas REST API.

Enables AI assistants to access content from authenticated web pages by opening a real browser for manual login and session capture. It saves browser profiles locally so users only need to log in once per service for future automated access.

Enables AI systems to interact with Canvas Learning Management System data, allowing users to access courses, assignments, quizzes, planner items, files, and syllabi through natural language queries.

Enables browser automation using Puppeteer through the MCP interface. Allows launching browsers, creating pages, and executing arbitrary JavaScript for web scraping, testing, and debugging tasks.

Enables downloading videos from 1000+ platforms including YouTube, Bilibili, TikTok, and Twitter using yt-dlp. Supports both MCP protocol and REST API modes with real-time progress tracking, multiple formats, and subtitle downloads.

A Model Context Protocol server that enables interaction with the Canvas Learning Management System API, allowing users to manage courses, assignments, enrollments, and grades within Canvas.

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.

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.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

An MCP server for fetching and transforming web content into various formats.

Enables browser-based web page fetching with automatic cookie management and CSS selector extraction, supporting JavaScript rendering and authenticated sessions through a Chrome extension.

An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.