"A server for finding Git version control resources and information" matching MCP servers:

Let AI agents operate a real USB-connected iPhone from Linux — no Mac, no jailbreak, no paid developer account. Screenshots, taps, swipes, text input, element tree and app control via WebDriverAgent, with CoreDevice HID fallback.

Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.

Enables AI agents to drive a live AutoCAD session over stdio with transactional, serialized writes: inspecting and saving documents, managing layers, creating and editing line/circle/arc/polyline/rectangle/text entities, querying selections, setting checkpoints, and exporting DXF. Every request is validated against strict schemas with document revision checks and save-reopen geometry readback, and a headless backend is available when no AutoCAD instance is running.

Enables AI agents to drive a connected Android phone over ADB with 28 tools covering screenshots and UI inspection, taps/swipes/typing, app install and launch, file transfer, wireless pairing, and one-call scripted flows like tap-by-text and wait-for-text.

Lets an MCP client see and control apps on a local X11 Linux desktop by clicking, typing, scrolling, dragging, and pasting text, with a visible Stop control that returns input to the user.

MCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.

Enables AI agents to operate websites and Windows desktop applications by reading and acting on webpage elements, exposed UI controls, and screenshots with mouse and keyboard input. Combines browser, desktop, and computer-control channels in a single task, with an optional target selector for batched actions.

A native MCP server that gives AI assistants full Chrome control via the DevTools Protocol and an unpacked extension, including semantic element refs, real input, screenshots, and browser/tab/window management. It exposes 43 callable tools with a visible control overlay and an optional read-only security profile.

MCP server for AI to operate Windows apps via screen OCR and background input, featuring structured WhatsApp UI tools for reading chats, detecting unread messages, and sending messages without stealing focus.

Enables GUI automation by capturing screen, controlling mouse/keyboard, and targeting controls via accessibility layer; optionally supports voice commands and synthesis.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A local stdio MCP service that lets an authorized AI assistant see and operate one Android phone through ADB, with screenshots, on-device OCR, text/coordinate taps, swipes, and app launching, plus optional scrcpy-based Chinese and emoji input. Includes zoomed inspection, a 0-1000 coordinate ruler, and crosshair preview with post-tap feedback so actions can be verified against the real screen.

An MCP server that enables AI assistants to control TVs on a local network through natural language commands. It currently supports Roku devices, allowing users to launch apps, manage playback, and navigate menus.

Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.

Enables Claude Code to read and operate macOS app interfaces through the accessibility tree, pressing buttons, setting text fields, typing with IME support, sending shortcuts, scrolling, dragging, and capturing screenshots. It drives background apps without moving the mouse or stealing focus from the user's current work.

Enables AI agents to observe and operate a real Windows or Linux desktop like a human — snapshotting screen geometry, active window, OCR text and normalized UI elements, then clicking, typing, scrolling and managing windows with built-in verification and recovery. Backends are chosen automatically per action (UIA/AT-SPI → OCR → vision → PyAutoGUI), so browsers, IDEs, office suites and canvas apps are all controllable without any browser-automation MCP.

Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.

Enables MCP hosts to safely control Douyin developer tools for tasks such as opening projects, previewing, building, capturing screenshots, reading console errors, uploading, and auditing mini programs and mini games.

Enables AI agents to see and operate a real USB-connected iPhone from a Linux Docker host — taking screenshots with region zoom, reading the element tree, tapping, swiping, long-pressing, typing text, pressing hardware buttons, listing/launching/terminating apps, and opening URLs. Automatically recovers from replugs and crashes, re-signs its automation agent before expiry, and falls back to a signing-free HID path on newer iOS.

Enables AI assistants to observe, reason about, and control connected Android devices via ADB, providing tools for screenshots, UI hierarchy parsing, semantic element clicking, gestures, text input, and app lifecycle management.

A central tool aggregator that routes and orchestrates multiple fabric apps through a single MCP surface. It enables users to access a combined suite of specialized tools from various registered apps via a unified server connection.

Enables management of co-authors for pair and mob programming sessions by automatically appending Co-authored-by trailers to git commit messages. It allows users to add, list, and configure team members as active co-authors using the git-mob CLI.

Enables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.

Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.

Windows原生桌面自动化MCP服务器，提供22个工具用于窗口管理、输入控制、截图、OCR和智能元素匹配。

Enables an AI assistant to control a real Android phone through Termux, adb, and a Cloudflare Quick Tunnel, exposing tools for status checks, screenshots, tap and swipe gestures, key presses, app launching, and text entry.

Enables Codex to manage a local Firefox session by listing, grouping, opening, activating, navigating, and closing non-private tabs and native tab groups through a secure local native-messaging bridge.