"Wine" matching MCP servers:

A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.

An MCP server that enables Alexa+ to autonomously orchestrate multi-step household tasks by decomposing goals into parallel tool calls — cross-session memory and dietary/allergy auditing, culinary planning with wine pairings, Amazon Fresh cart assembly with human-in-the-loop purchase approval, smart-home ambiance and climate control, and calendar scheduling. It pairs AWS Bedrock multi-agent reasoning with Streamable HTTP transport and interactive generative UI cards, carousels, and live IoT sliders.

Enables AI assistants to trade on MetaTrader 5 on Linux by bridging the Windows-only MetaTrader5 package through Wine.

fomox402 broker + MCP server for last-bidder-wins games on Solana. Drop one URL into Claude / Cursor / Goose / Cline and the agent auto-registers a Privy-managed Solana wallet (faucet-funded with ~0.0024 SOL + $fomox402), bids via x402 micropayments, claims dividends, and plays autonomously. 14 tools wired up — register_agent, place_bid, claim_winnings, claim_dividend, list_games, get_me, etc. Str

A local MCP server that lets any LLM agent manage Pine AI tasks — negotiate bills, cancel subscriptions, resolve disputes, and make phone calls on your behalf.

Enables users to convene an AI-driven roundtable of historical and modern advisors, automatically triaging career or life questions to the appropriate panel for diverse opinions and structured meeting minutes.

Enables Windows agents to control desktop applications and isolated Chromium sessions through a unified computer tool, supporting discovery, observation, input, window management, browser automation, and sequencing actions.

MCP stdio server that lets DSH agents see and operate Windows desktop apps via UI Automation, screenshots, mouse/keyboard, OCR, and window management.

Enables coding agents such as Codex and Claude Code to exchange durable, locally stored messages through shared MCP tools for listing enrolled recipients, sending and replying to messages, reading pending inbox items, acknowledging receipt, and checking message status. Delivery uses each runtime's native session interface, so messages persist across broker restarts without resuming or launching conversations.

Enables an AI to see and drive any Windows application through the accessibility tree - reading real element names, states and actions and invoking the app's own controls without screenshots or moving the mouse, even for windows behind others. Also exposes 200+ native Windows tools for system health, hardware, network, privacy, files, processes, registry, media and more.

Enables AI agents to send LINE notifications and request human approval, waiting for button or free-text replies before continuing. Agents can branch on the returned answer or resume waiting for pending responses.

Provides external AI agents with reliable, observable tools to inspect, navigate, and act in a Minecraft world, enabling autonomous playthroughs such as beating the game.

Enables Claude Code to control a Windows desktop via screenshots, mouse, keyboard, and window/display enumeration, reusing the native binding from the Claude desktop app.

Enables an AI agent to inspect and control a real Minecraft Java client through the Model Context Protocol, exposing world data, screenshots, inventories, chat, and normal player actions under the player's permissions.

MCP server that gives any LLM a managed Docker workspace with live browser, terminal, code execution, document skills, and autonomous sub-agents.

Public implementation of MCP for ROS 2 enabling to interact with system visible various robots, capable of: List available topics List available services Call service Subscribe topic to get messages Publish message on topic and more

Enables a planning assistant to submit, inspect, and review project-scoped coding tasks while a local coding agent runs them in isolated workspaces through durable queues and read-only source access.

Enables agent-driven CAD design through deterministic source files (.kcad.ts), including model evaluation, validation, and export to STEP/STL via MCP tools for review and introspection.

Enables local AI models to control a remote Windows desktop over RDP by viewing screenshots and injecting mouse and keyboard input, with no software installed on the remote host.

Enables AI agents to control Windows GUI applications like a human using screen capture, OCR, mouse and keyboard input, and window management, with safety levels and memory.