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

Enables MCP-capable AI tools such as Claude Code and Codex to operate the locally running XuanShang infinite canvas under one unified ruleset: creating projects and certification groups, uploading and certifying images and reference videos, placing assets on the canvas, building Seedance video nodes, submitting generation, and converting drafts to final videos. Credit-spending actions always require explicit user confirmation, and the plugin never reads or stores API keys.

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.

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.

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.

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

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.

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 teachers and TAs to use an AI assistant to review Canvas LMS submissions, stage grades, rubric scores, and student-facing feedback locally, and post approved results to SpeedGrader.

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.

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.

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.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

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

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.

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 users to discover jobs by target titles and countries, rank job descriptions by skill coverage across all imported resumes, generate tailored ATS-ready resumes and cover letters, and fill and submit requested application batches through a signed-in AI host with browser access.

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

Enables users to record, review, verify, and expose permitted browser workflows as callable MCP tools with typed inputs, isolated Chromium verification, and approval-gated writes.

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.

Turns any OpenAPI/Swagger or REST API into callable MCP tools for Claude, ChatGPT, Copilot, and Cursor, with secure authentication and role-based access control.

Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.

Enables reading, patching, publishing, and testing Dify workflow canvases through a signed-in Chrome session from any MCP client.

Connects Claude to Canvas LMS, enabling students to query their coursework, assignments, grades, deadlines, announcements, and calendar events through natural conversation instead of navigating the Canvas interface.