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

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

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.

Fetches current and three-day weather forecasts for any city using the wttr weather service through a Docker-based MCP server.

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.

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

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 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.

A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.

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.

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.

A read-only MCP server that gives Claude access to Canvas LMS courses — due dates, assignments, rubrics, grades, syllabi, modules, pages, files (PDF/DOCX/PPTX), announcements, calendar, discussions, and quizzes — so users can build study guides, practice quizzes, and weekly plans from their teachers' actual materials. It cannot submit, post, or change anything in Canvas.

Fetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.

A read-only Model Context Protocol server that lets AI assistants ask plain-language questions about a student's Canvas LMS data — courses, deadlines, assignments, quizzes, grade breakdowns, files, announcements, discussions, and inbox messages. Every tool issues GET requests only, so nothing can be submitted, posted, deleted, or marked as read.

Enables interaction with Canvas LMS instances through MCP, providing tools for courses, assignments, grades, modules, discussions, files, calendar, inbox, and more, with configurable read/write/destructive permissions and dry-run support.

Enables MCP clients to connect to a self-hosted Canvas LMS account to read courses, assignments, grades, modules, files, discussions, announcements, and Inbox messages, and to submit work or perform teacher actions with confirmation safeguards.

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.

Enables managing Canvas LMS courses, assignments, grades, modules, and more from MCP-compatible clients like Claude Desktop, Kiro, or Amazon Q Developer.

Connects Claude to Canvas LMS for managing coursework through natural language, including assignments, discussions, submissions, and course browsing.

Connects Canvas LMS to Claude Desktop, enabling natural-language queries about courses, assignments, grades, and more.

Enables AI agents to interact with Canvas LMS via its REST API for reading courses, assignments, grades, announcements, discussions, and performing write actions with dry-run safety.

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 agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

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.