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

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.

Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.

Enables AI assistants to fetch and process web content securely, including HTML-to-markdown conversion, reader mode, metadata extraction, RSS/sitemap parsing, and robots.txt-aware requests with SSRF protection.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.

MCP server that connects AI assistants to Instructure Canvas LMS, enabling teachers and administrators to manage courses, assignments, grades, and more through natural language.

Enables instructors to run their Canvas LMS courses through an AI assistant, with 47 tools for reading rosters, drafting and publishing assignments, building modules, grading submissions, posting announcements, and pulling the full gradebook. Writes are enabled by default while deletes stay off, and everything runs with the instructor's own API token inside the courses they already teach, requiring no administrator or app registration.

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

Enables MCP-compatible assistants to read Canvas course information—including courses, assignments, syllabi, modules, pages, and announcements—through a local read-only server.

Enables Claude to interact with Canvas LMS, allowing natural language queries about courses, deadlines, grades, and feedback.

Enables AI assistants to manage Canvas LMS courses, announcements, rubrics, assignments, modules, pages, and student data via the Canvas API.

Enables interaction with Canvas LMS to access courses, modules, files, pages, assignments, submissions, announcements, upcoming deadlines, and syllabus.

Provides read-only access to Canvas LMS data including courses, assignments, grades, and deadlines through 23 structured tools.

Read-only FastMCP server for Canvas LMS study data.

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 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.

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.

Enables agents to fetch URL content as plain text or pretty-printed JSON, with optional pay-per-use monetization through Vybe Collect.

An MCP server for Canvas LMS that provides 15 curated tools for everyday student work and a gateway to reach every endpoint your Canvas instance exposes.

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

Enables LLMs to fetch and extract web content as markdown with browser impersonation to bypass basic bot detection.

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

Read-only MCP server for Canvas LMS that exposes tools to list courses, assignments, grades, submissions, syllabi, announcements, modules, pages, and files, without any write operations.

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.

Reduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.

A dedicated web content fetching and conversion MCP server that provides tools for fetching, converting, and extracting data from web pages.

Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.