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

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Provides read-only access to Canvas LMS data, enabling an LLM to query courses, assignments, grades, submissions, announcements, discussions, modules, pages, and files via the Canvas REST API.

MCP server that enables AI assistants to access a user's Canvas LMS data, including courses, assignments, grades, and file extraction, with OAuth and bearer token authentication.

MCP server for Canvas LMS with automatic OAuth authentication. Enables interaction with courses, assignments, grades, modules, discussions, quizzes, files, calendar, messaging, and more without manual API token management.

Enables AI models and browser users to collaboratively create and edit a shared freeform canvas of positioned cards and directed connections, with tools for adding, updating, linking, and exporting boards as JSON or SVG.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

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.

Servo-powered MCP server for JS-aware web fetching, content extraction, crawling, and software-rendered screenshots — Chromium-free single binary.

MCP server for Canvas LMS, providing 115+ tools to read courses, assignments, submissions, rubrics, quizzes; grade, comment, manage course content, and handle Canvas admin workflows from any AI agent.

Enables fetching and processing web content by retrieving URLs and converting HTML to markdown format. Supports chunked reading of webpages and both local (stdio) and HTTP transport modes with optional authentication.

Enables AI assistants to fetch public data from 120+ sources via natural language and save it locally as Excel, GeoJSON, or KML files.

Enables AI assistants to access Canvas LMS course content, including assignments, modules, announcements, and files, to help students manage their coursework.

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 Claude to Canvas LMS accounts, enabling natural language queries about courses, assignments, grades, and files. Supports content search, file downloads, syllabus retrieval, and bulk course exports via 13 integrated tools.

Exposes Canvas LMS tools for courses, assignments, and quizzes via a remote MCP server running on Cloudflare Workers. Enables querying active courses and upcoming assignments/quizzes through natural language.

An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.

A secure MCP server for fetching web content for agents, with provably correct SSRF protection against edge cases, redirects, and DNS rebinding.