WinRemote MCP: Open Source MCP Server for Full Control of Windows Desktops
WinRemote MCP is an open-source MCP server that extends comprehensive control over Windows machines to AI agents. Developed to address the gap in proper Windows support within the MCP ecosystem, this tool empowers AI agents with capabilities to manage and manipulate Windows desktops efficiently.
Key Details
- The server supports a wide range of functions critical for Windows desktop control, including taking screenshots with UI element detection and OCR.
- It allows AI agents to control the mouse and keyboard, facilitating actions such as clicking, typing, scrolling, and executing shortcuts.
- File system management is fully supported, including reading, writing, searching, uploading, and downloading files.
- Direct access to the Windows Registry is available for reading and writing.
- Handles service management (start/stop/list), scheduled tasks, and process management.
- Network diagnostics tools like ping, port checking, and active connections monitoring are included, alongside screen recording capabilities outputting in GIF format.
pip install winremote-mcpwinremote-mcp --transport http --port 8090
WinRemote MCP installs easily via pip and can be initiated with a single command, granting AI agents, such as Claude Desktop and OpenAI agents, full access to Windows desktops. The server supports both stdio and HTTP transport, allowing for flexible deployment.
Who it's for
This tool is particularly valuable for developers and enterprises that need robust Windows-specific operations in their AI workflows.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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Testing δ-Mem on Apple Silicon: MLX Implementation and Benchmarks
δ-mem paper implemented via mlx on a MacMini 64GB shows mixed but promising local benchmarks, with gains in realistic replay scenarios.
Claudetop: Real-Time Cost Monitoring for Claude Code Sessions
Claudetop is an htop-like tool that shows real-time spending, cache efficiency, and model comparisons for Claude Code sessions. It provides slash commands like /claudetop:stats and smart alerts for cost milestones and efficiency issues.
TRELLIS.2 Image-to-3D Ported to Run Natively on Apple Silicon
A developer has ported Microsoft's 4B parameter TRELLIS.2 image-to-3D model to run natively on Apple Silicon via PyTorch MPS, replacing CUDA-specific operations with pure-PyTorch alternatives. The port generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro with 24GB memory.