"Information about desktop computers or desktop-related topics" matching MCP servers:

An MCP server that lets agents observe and control an Omarchy or Hyprland desktop: list monitors, windows, workspaces, and accessibility controls, capture screenshots, then move the pointer, type text, send shortcuts, and manage windows and workspaces. It works over stdio with any MCP client, guarding actions with session-lock and single-driver checks while treating on-screen content as untrusted data.

A compact facade MCP server for macOS desktop automation, lazily proxying to full-featured computer-use tools to save context tokens while enabling screenshots, window control, app launching, and AppleScript execution.

Enables supervised, visible control of a Windows desktop from an MCP client, providing real mouse and keyboard input, screenshots, local safety controls, and a teaching mode for guidance without injection.

Enables AI agents to capture multi-monitor screenshots with coordinate grids and perform mouse, keyboard, scrolling, dragging, and window-management actions on Windows via MCP tools or CLI. It provides pixel-accurate desktop automation for computer-use agents.

Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.

Enables multiple local AI desktop applications to exchange MCP messages and collaborate through a shared JSONL room file, with role-based routing, history, and audit session tools.

Enables MCP clients to capture screenshots and control a Raspberry Pi's Wayland desktop over an existing SSH connection with mouse, drag, scroll, keyboard, and Unicode typing actions. Input tools return fresh screenshots, enforce single-client sessions with idle release, and reject stale or uncertain state until verified.

Enables a local MCP client to drive an already-open DeepSeek Harness Desktop session over a loopback-only, Bearer-authenticated endpoint — submitting standard-mode tasks, reading bounded output, continuing or canceling runs, and inspecting diagnostics.

Enables asynchronous two-way messaging between Codex Desktop tasks and Claude Desktop Code sessions on Windows, allowing either side to share information, questions, or updates through MCP tools.

Enables other agents to list, read, start, and steer Codex chats in the macOS ChatGPT desktop app, including sending follow-ups, choosing model/reasoning/speed, interrupting work, and answering approvals. It can run locally or behind bearer-token-protected tunnels for remote monitoring and control.

Enables guarded, local-first perception and interaction with Windows desktops through UI Automation, screenshots, and bounded mouse/keyboard actions with deterministic verification. It prioritizes semantic/read-only inspection and excludes arbitrary shell execution or destructive system operations.

Enables MCP clients to inspect desktop windows through accessibility trees and screenshots, perform actions on resolved UI elements, and verify expected conditions after those actions.

Enables durable bidirectional handoffs between any MCP client and OpenAI Codex Desktop tasks, with persistent callbacks, acknowledgements, and session-scoped state across restarts.

Enables macOS computer use through the agent-desktop CLI: accessibility-tree snapshots with refs, headless clicks, typing, key presses, scrolling, screenshots, clipboard access, waits, and batch actions across 21 tools. Acts as a drop-in replacement for the bundled kimi-cu plugin, without moving the cursor or stealing focus for most operations.

Give any AI full control of your desktop. Mouse, keyboard, screenshots — all through the Model Context Protocol.

Enables Codex Desktop or CLI to delegate tasks to an already running DeepSeek Harness Desktop over an authenticated local socket, reusing that Desktop's model configuration, Skills and allowed tools without a separate API key or runtime. Each delegated session runs in its own isolated directory or Git worktree so Codex can review results before integration.

A bidirectional MCP bridge that lets Claude Desktop and Claude Code collaborate on a build with no human in the execution loop.

Give Claude Code a practical way to see, operate, and verify desktop applications.

Enables AI agents to monitor ambient desktop context, react to screen text and clipboard changes, and predict proactive intents for non-intrusive action through MCP.

Adds automation capabilities to Claude Desktop through MCP and enables Claude Desktop to act as a model gateway for Claude Code, solving WSL-Windows integration challenges through file-based bidirectional communication.

A server that enables Claude Desktop users to access the Claude API directly, allowing them to bypass Professional Plan limitations and use advanced features like custom system prompts and conversation management.

Lets Codex delegate tasks to a running DeepSeek Harness Desktop instance on Windows over authenticated named pipes, with asynchronous dispatch, event waiting, cancellation, and explicit resume. Also supports blocking structured questions tied to a task, plan checkpoints before writes, independent stage review with rework in the same session, and output fingerprinting that invalidates stale approvals when files change.

A server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).

Enables MiMo Desktop to run a typed-decision engine through local stdio MCP, returning choice/score/noul predictions with calibrated confidence for auto-execution, LLM review, or escalation—without generating text.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

Enables ChatGPT Desktop to interact with MetaTrader 5 for trading, market data access, and trade management via HTTP/ngrok.

A Model Context Protocol server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation, enabling two-stage AI processing where DeepSeek's structured reasoning enhances Claude's final outputs.

Exposes local OpenCode instances as remote MCP servers for Claude and ChatGPT, enabling terminal access, session management, and interactive human-in-the-loop workflows. It simplifies deployment for local machines using Cloudflare Tunnels to provide secure public connectivity and OAuth support.

Enables Claude Code and Claude Desktop to command the jev-ultrafast browser agent in your real Chrome, autonomously pursuing plain-language goals on a given start URL while enforcing a domain-bound safeguard.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.