"Moodle" matching MCP servers:

Enables AI agents to access a student's EPFL Moodle data—deadlines, course files, assignments, forums, and grades—through read-only tools.

Enables AI agents to publish and manage pedagogical content in Moodle via Web Services with guaranteed idempotency. It provides tools for course management, lesson publishing, preview workflows, and direct Moodle API access.

Enables AI assistants to interact with Moodle via web services, allowing tasks like listing courses, assignments, events, and downloading files.

Enables AI assistants to securely read course outlines, deadlines, announcements, forum discussions, and files from Moodle, track changes, and download or mirror course materials with a personal read-only token.

Enables AI agents to query a Moodle mirror for what appeared, changed, or disappeared since a given time, backed by a persistent ledger that records when each revision was first seen and which ones have been handled. This lets agents report deltas instead of dumping course contents, pick up unhandled backlog across sessions, detect silently re-uploaded files, and share a work queue among multiple agents or humans.

Enables retrieval of upcoming events from Moodle LMS via the Model Context Protocol.

Connects Claude to your Moodle account through the same web-service API the mobile app uses. Enables asking about upcoming and overdue deadlines, reading course files and announcements, checking grades, searching course content, and saving assignment submissions from chat.

Moodle REST API client with batch downloading and MCP protocol support for Claude Code and OpenCode, enabling course management, grade checking, assignment tracking, file downloads, and more.

A Moodle MCP server so students can collaborate with their courses through the LLM tools.

Enables AI agents to sign into a real Moodle LMS and handle the student workflow end to end: browsing courses, schedules, forums and grades, converting assignments and attachments into markdown, and uploading and submitting work as drafts or finalized submissions. Ships as a single static binary with write actions confirmed by the user and quiz-taking deliberately excluded.

Enables agents to interact with a university Moodle LMS via MCP, surfacing deadlines hidden inside course documents along with grades, assignments, and submission capabilities.

Enables users to read Moodle course information, list courses, outlines, resources, assignments, and deadlines, and download or extract text from course files locally via an MCP-compatible client.

Enables read-only Moodle access through MCP for querying courses, content, assignments, grades, forums, discussions, submissions, and calendar events, while supporting multiple profiles and local ICS export.

Provides Claude with full access to Moodle learning management systems, enabling interaction with courses, files, assignments, grades, and calendar events. It also supports building Obsidian study vaults from course materials through automated knowledge graph creation.

A Model Context Protocol (MCP) server that connects AI coding agents to your Moodle LMS. Fetch assignments, grades, deadlines, and sync everything to Obsidian automatically.

Enables AI agents to interact with Moodle LMS, fetching assignments, grades, deadlines, course content, and syncing to Obsidian, with WhatsApp alerts and class-slot filtering.

Enables AI tools to read course materials, links, and deadlines from a student's university learning platform, and to download lecture slides into course folders for SlideMate and other MCP clients.

Enables AI assistants to inspect enrolled courses, extract readable text from course documents, track upcoming deadlines, view announcements, and retrieve assignment details through the platform’s REST API.

Enables read-only querying of Moodle as a student, including courses, assignments, grades, forums, and files, using a personal web services token.

Enables teachers, through AI assistants, to view courses, assignments, and student submissions, download submission files, and save grades with feedback after explicit confirmation via the Moodle REST API.