"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP servers:

Enables AI agents to read and write Markdown notes in an Obsidian vault over the Model Context Protocol, with concurrency-safe edits and optional write restrictions.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.

Enables local AI clients on Windows to automate desktop and system tasks via MCP stdio, CLI, or optional localhost HTTP, including screenshots, mouse and keyboard input, files, processes, registry, and accessibility-tree window interactions, with local-only execution and no cloud fallback.

Five generic MCP tools for deep Home Assistant administration, plus a native Home Assistant LLM API and a reusable agent skill.

A production-grade MCP server that lets AI cloud services control and manage your Linux server securely via HTTP/SSE.

Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.

Manage local/SSH/WinRM remote hosts via MCP, providing tools for exec, filesystem, screen, process, serial console, and configuration.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.

Self-hosted Linux server control integration that lets remote MCP clients authenticate through persistent OAuth and invoke file, patch, command, terminal, Git, and image tools. Clients can also subscribe to targeted, signed event notifications for experimental event-driven workflows.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

Enables MCP clients to manage remote Linux terminals over SSH, supporting multi-host and jump-host command execution, background task control, and SFTP file writes, edits, and verified uploads.

A safety-first MCP server enabling file inspection/editing, allowlisted command execution, process listing, and optional desktop automation. It emphasizes security with disabled writes/commands/GUI by default and local feature gates.

An MCP server that lets AI clients manage game servers hosted on a Calagopus panel: list and inspect servers, read logs and files, edit configs, run console commands and power actions, and search, install, update, or remove plugins and mods from Modrinth and CurseForge. Every action is bounded by the user's panel API key and server permissions, with read-only/destructive hints and token-efficient tool responses.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

Enables conversion of multiple file formats (Markdown, HTML, Word, Excel, etc.) to XMind mind maps with AI-powered analysis for structure optimization and quality assessment.

Enables safe, human-in-the-loop AI document collaboration by letting agents create isolated workspaces, edit tracked files, open reviewable Change Requests, and get human approval before merging, with Git-backed conflict detection and resolution.

Enables AI agents to invoke remote inference tasks from a local MCP client, handling file upload, job submission and polling, result download, cancellation, and account/billing checks.

Provides comprehensive computer control capabilities including shell commands, file operations, screen capture, keyboard/mouse input, window management, clipboard access, and system monitoring following the OODA loop pattern.

A modular MCP server suite that provides core tools, long-term memory, knowledge RAG, skills registry, and external integrations for AI agents.

Grants Mammouth.ai assistants secure, authenticated access to a Windows 11 workstation, including persistent memory, kanban task management, sandboxed file operations, PowerShell processes, remote SSH/PuTTY handling, system diagnostics, and web tools.