"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.

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.

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 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 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.

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 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.

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.

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.

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

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

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.

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.

A Model Context Protocol (MCP) server that enables Claude or other LLMs to fetch content from URLs, supporting HTML, JSON, text, and images with configurable request parameters.

Enables MCP clients to read Canvas LMS courses, assignments, deadlines, announcements, pages, and extracted text from course files such as PDFs and slides. It also keeps a daily change log so users can see what is new in their courses.

Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.

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 students, instructors, and account administrators to interact with Canvas LMS through natural language to manage courses, assignments, submissions, enrollments, grades, discussions, files, reports, and account-level administration.

Enables students, instructors, and account administrators to manage courses, assignments, submissions, grades, discussions, modules, files, enrollments, users, and institutional reports through natural language. Supports both local stdio and streamable HTTP transports, with Docker and Kubernetes deployment for cloud-ready use.

Enables interaction with the Canvas LMS API to manage courses, assignments, submissions, modules, discussions, grades, files, and account-level administration. Supports student, instructor, and account admin workflows over stdio or streamable HTTP transports with TypeScript type safety and Docker/Kubernetes deployment.

Enables read-only access to explicitly configured Canvas and Ed courses and content through provider-aware MCP tools, with optional Gradescope tools after explicit opt-in. It keeps credentials as keyring or environment references and avoids network requests for disabled providers.

Enables users to manage courses, assignments, submissions, grades, enrollments, discussions, files, and account-level reports through the Canvas LMS API. Supports student, instructor, and administrator workflows with stdio and streamable HTTP transport options.

Enables students, instructors, and account administrators to interact with Canvas LMS APIs for courses, assignments, submissions, grades, discussions, files, users, reports, and account administration workflows.