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

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

MCP server for creating interactive terminal canvases (calendar, document, flight) in AI coding assistants. Supports multiple TUI frameworks and integrates with tmux.

Enables cloud services with MCP support, such as Notion AI, to read, search, edit, create, and delete files within a single designated folder on your computer, and to run only allowed commands.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

Exposes Creatio CLI (CLIO) commands as tools for AI agents to manage Creatio environments. It enables users to perform environment health checks, restart web applications, and execute raw CLI commands through a stateless HTTP transport.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

Enables reading diagnostic data from remote servers over SSH using a whitelist of read-only commands, with secret redaction.

Drive Elixir terminal UIs headlessly from an agent: start a TUI session, send keystrokes, take structured screenshots, and read TEA model state as MCP resources. Also exposes adaptive-UI recommendation tools and, when raxol_agent is loaded, read-only coding-agent session tools.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

Lets an AI application instantiate, connect to, drive, capture output from, and interrogate a real BBC Micro emulator.