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

Enables MCP-compatible clients to read courses, assignments, announcements, files, and grades from a Canvas LMS instance.

An MCP server for Canvas LMS that enables assistants to read course content, create assignments and pages, set due dates, and post announcements via the Canvas REST API.

Model Context Protocol server that enables Claude Desktop (or any MCP client) to fetch web content and process images appropriately.

Local-first MCP server for Canvas LMS. Stdio transport, no third-party broker, token stays in ~/.canvas.env. Exposes courses, assignments, modules, announcements, grades, planner items, upcoming events, todo list, and bulk file dump as MCP tools.

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 users to run an Excalidraw infinite canvas inside a Codex MCP App, generate visual plans and images from briefs, and modify images via arrow annotations while saving projects locally.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

A local MCP server that lets coding agents draw and modify diagrams on a canvas, connect shapes into flows, and respond to comments left on the canvas, persisting work as diagram files inside named projects.

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.

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

Enables bidirectional communication between AI agents and a tldraw canvas, allowing agents to push content as interactive cards and users to select cards for conversation context.

An MCP server that gives AI tools a reliable way to fetch content from the web, handling anti-bot protection and JavaScript-rendered pages.

A teacher-facing MCP server that wraps the Canvas LMS REST API, enabling AI assistants to create and manage course content across multiple Canvas courses.

Enables AI agents to search and compare live UK product prices from marketplaces like eBay and Amazon, returning normalised JSON with direct buy links.

Enables managing Canvas LMS courses through natural language, including file uploads, folder syncing, and creating modules, pages, assignments, and syllabus items.

MCP server for a persistent local whiteboard that lets AI assistants read, add, update, and delete canvas elements, with undo/redo and provenance tracking.

A web-fetch MCP server for LLM agents that fetches pages with an escalation ladder through different engines, raising FetchBlocked instead of returning blocked content.

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

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.

Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.

An MCP server that turns Claude into a full image production studio, enabling creation, editing, resizing, and brand-consistent asset generation across multiple platforms.

Provides read-only access to Canvas LMS, enabling users to view active courses, grades, and upcoming assignments through natural language queries.

Render hierarchical system diagrams as PNGs from YAML definitions using a four-level ontology of networks, factories, machines, and nodes.

Lets AI assistants read a student's Canvas LMS courses, modules, deadlines, announcements and course files through the Canvas REST API, using university single sign-on with MFA instead of an API token, and download lecture slides into per-course folders. All access is read-only and works with any Canvas site, defaulting to Oxford.

Read-only MCP server for Canvas LMS that works without API tokens by using session cookies, enabling AI assistants to access courses, assignments, grades, announcements, and more.

A local stdio MCP server for visual AI work, offering an Excalidraw infinite canvas, image generation and editing, HTML drafts, presentations, and durable task recovery within a project workspace.

Provides MCP tools to read SJTU Canvas data, download course files, and access video/subtitle resources without authentication simulation.

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 students to ask an AI assistant about their Canvas LMS data, including assignments, grades, missing submissions, discussions, and upcoming items, while keeping access read-only and private.