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Alternatives to wasabi

  • A
    license
    Not graded
    quality
    A
    maintenance
    Lets an AI agent work on a real Commodore Amiga over the home network: AmigaDOS Shell, files, ARexx, screenshots, mouse and keyboard, and windows, gadgets and menus by name. Includes a remote desktop to watch and take over, tuned for 68000 machines and slow links.
    9
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables an AI agent to drive a remote Linux machine over the LAN through a single TCP connection, exposing tools for shell commands, jobs, interactive PTYs, file read/write/search/transfer, process and service management, networking, packages, and power control, with optional multi-host switching. Operates without SSH or any Linux-side installation beyond one stdlib-only Python daemon, using a state-free binary protocol.
    MIT
  • A
    license
    A
    quality
    C
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    Enables AI agents to interact with Classic Mac OS 7-9 through structured commands and responses using a shared folder transport, supporting file browsing, window management, mouse/keyboard control, and more.
    23
    41 npm
    28
    GPL 3.0
  • A
    license
    B
    quality
    A
    maintenance
    This server enables AI agents to operate Windows and Linux computers by observing the screen, understanding the UI through accessibility, OCR, and vision, and performing mouse, keyboard, window, clipboard, and system actions with verification and recovery.
    29
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server that gives any AI assistant eyes and hands on your desktop — screenshots, clicking, typing, OCR, window management, accessibility-tree queries, workflow recording.
    5
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI models to control a local Windows desktop by moving the cursor, clicking, scrolling, typing Unicode text, sending key chords, and capturing screenshots. Runs natively on Windows with minimal latency and no heavy dependencies such as Python, PyAutoGUI, or Docker.
    90 npm
    1
    MIT

TDQS

A4.1/5.0

Scored across 30 tools

Disambiguation4/5

Tools are mostly well separated by resource and action, with descriptions that explicitly cross-reference alternatives such as amiga_ui_click vs amiga_mouse, amiga_key_type vs amiga_key_press, and amiga_drag vs amiga_input. However, the GUI/input and ARexx families contain several adjacent tools that require careful reading to select correctly.

Naming Consistency4/5

All tool names use a consistent amiga_ snake_case namespace and are grouped predictably by domain, e.g. amiga_ui_*, amiga_key_*, amiga_arexx_*. The only minor deviation is that many read-only discovery tools are noun phrases (amiga_info, amiga_screens, amiga_ps) while action tools are verbs, so it is not a pure verb_noun scheme.

Tool Count3/5

30 tools is a heavy surface for an MCP server, and several could plausibly be consolidated, such as pointer/mouse, region_changed/screenshot, and slots/ps. The domain is genuinely broad, so most tools earn a place, but the count is above the comfortable range.

Completeness4/5

The surface covers a wide range of Amiga remote-control workflows: filesystem reads/writes, screen and UI automation, input, processes, ARexx, health, and Zenix console access. Minor gaps remain around explicit file lifecycle operations like delete, move, and mkdir, though amiga_run can usually compensate.

Maintenance

ActivityMaintained
ResponsivenessNo issues