"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.

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.

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.

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.

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.

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.

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.

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

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

Enables AI assistants to navigate Canvas courses, read assignments, documents, feedback and grades, and prepare verified student actions through MCP, with local stdio and hosted OAuth options.

Connects Claude to the Canvas LMS REST API, enabling natural language queries about courses, assignments, grades, deadlines, and announcements.

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

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.

An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.

Enables AI agents to access Canvas LMS academic data such as courses, assignments, grades, and events via MCP tools.

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.

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.

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

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.

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.

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.

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.

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