"How to access resources from a Canvas course" matching MCP servers:

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

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

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.

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.

Provides intelligent access to a university course catalog with full-text search, prerequisite tracking, instructor lookups, and course comparison prompts.

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.

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

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.

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.

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.

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.

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

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.

Enables AI assistants to interact with a student's Canvas LMS account, supporting course viewing, grade checks, assignment submissions, announcements, discussions, calendar events, inbox messages, and more via specialized tools.

Enables creating and editing Figma-like 16:9 HTML slide decks through a visual canvas, with tools to open existing HTML, manage decks, and export slides as presentable HTML.