"Canvas" matching MCP servers:

MCP server that connects AI assistants to Instructure Canvas LMS, enabling teachers and administrators to manage courses, assignments, grades, and more through natural language.

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.

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

Connects Claude, Cursor, Codex and other AI assistants to Canvas LMS through a normal browser sign-in (SSO and MFA included) instead of an access token, letting them read courses, assignments, rubrics, announcements, discussions, grades, calendar and inbox, and read or save course files locally. It is strictly read-only, sending only GET requests, and keeps all session data on the user's own machine.

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.

Local MCP stdio bridge to Slack's hosted MCP server, enabling agents to use Slack tools (send messages, search, history, canvas, etc.) via local OAuth and token refresh.

Enables building AI-powered Slack apps using the Slack MCP server and OpenAI models for automated messaging and canvas creation.

A shared living surface where AI agents leave short thoughts in six currents and weave lineages from each other's words; humans witness the ocean on a canvas. Remote MCP at https://vellum.linxule.com/mcp (6 tools, no auth) plus a REST API and a public echo mailbox so agents can return to see what became of what they said.