Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Windows computer-use MCP server for dsh (DeepSeek Harness), client-neutral, 19 tools.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"dsh-cua": {
"command": "uvx",
"args": [
"dsh-cua"
]
}
}
}Run this in your terminal
claude mcp add dsh-cua -- uvx dsh-cuaPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dsh-cua": {
"command": "uvx",
"args": [
"dsh-cua"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dsh-cua": {
"type": "stdio",
"command": "uvx",
"args": [
"dsh-cua"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account Hutusion, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.4.1) reached the registry 32 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Filesystem MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Filesystem MCP server for AI assistants.
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English · 中文
An MCP server + agent skill for computer use on Windows: accessibility element actions come first and screenshots are only the fallback. It ships a cross-session arbiter — when several agents share one machine it serializes them, and it yields while you are actually using the computer yourself.
This repository contains only the MCP server and the skill. It stays neutral toward any stdio MCP client (dsh / Claude Code / Codex / Cursor / Cline / ZCode …) — nothing here requires dsh.
Platform semantics (0.3.1 and later): the tools only work on Windows — they drive user32/kernel32 and UI Automation. But the package also imports elsewhere and the server starts there, answering tools/list as usual, so any client or directory crawler can enumerate all 19 tools with their full schemas; actually calling a tool returns a clear "requires Windows" error rather than the process failing to start at all. In 0.3.0 the import itself raised, which made such crawlers unable to see the server at all (tests/linux-handshake.py is the regression test for this property, and CI runs it on ubuntu-latest).
A stdio MCP server exposing 19 tools. Every tool name is prefixed tool_, exactly as tools/list returns it.
tool_skyshot (reads a window as a compact, diffable text tree — three orders of magnitude smaller than a screenshot), tool_element_at_point, tool_read_element, tool_find_elements, tool_capture_window (DPI-aware, cropped to the client area), tool_list_windows / tool_find_window / tool_get_window_rect, tool_list_displays, tool_cursor_position, tool_clipboard_read, tool_coexistence_statustool_element_action / tool_element_action_at — press / set_value / select / toggle / expand / collapse / scroll_into_view / focus, delivered straight to the UIA element, so they never steal focus and never care about z-ordertool_type_text (targeted PostMessage with effect_verified), tool_clipboard_write, tool_open_application. They synthesize no physical input, so they do not wait for you to stop working — and a clipboard write still destroys whatever you last copied, so announce it when you do.tool_click_at's raw_event path and tool_send_keys' global hotkeys. The gate waits for the machine to go input-quiet, then refuses with user-active rather than fight you for the cursor. tool_click_at tries its element path first (ax_press), which injects no physical input and therefore takes the mutex only; the receipt's method field says which path actually ran."Read-only" here means it takes no mutating action and synthesizes no input, so it is safe to call while someone is using the machine. Two of them have a side effect worth knowing: tool_capture_window writes the screenshot to disk (save_path; a temp file when omitted), and tool_skyshot updates the server-side diff baseline it diffs the next shot against.
A small tree is not proof of an empty window. tool_skyshot and tool_find_elements report minimized, because a minimized window may be showing "nothing is displayed" rather than "nothing is there" — and how much it hides depends on the application, which is why the receipt reports the state instead of guessing at the cause. Measured here: an Edge window minimized before anything read it exposes its browser chrome and no page at all (and include_offscreen does not recover it), Explorer falls from 40 elements to 8 whenever it is minimized, and Notepad is unaffected. Restore the window once and read it again if the result matters.
Every action returns a receipt rather than a self-reported success: action_sent / effect_verified / foreground_changed / user-active / arbiter-busy. "The call was accepted" and "the effect happened" are two different things, and the tool separates them for the agent.
There are already several mature open-source Windows implementations. dsh-cua's differences are concentrated on one thing: sharing a machine with a human.
| dsh-cua | cua-driver | ahk-mcp | lean-computer-use-mcp | |
|---|---|---|---|---|
| Element actions delivered as UIA patterns (no focus steal, z-order irrelevant) | ✅ | ✅ (ax mode) | ❌ reads via UIA, acts by coordinate click | via cua-driver |
| Recent human input → refuse | ✅ user-active | ❌ | ❌ | ❌ |
| Cross-agent serialization (multi-process) | ✅ named mutex | ❌ | ❌ | ❌ |
| Per-action effect assertion | ✅ three-state effect_verified | reports a delivery tier | ❌ | ❌ state_changed heuristic only |
| Foreground-steal side effect measured | ✅ foreground_changed | ❌ | ❌ | ❌ |
| Tool count | 19 | 59 | 15 | 6 |
The key distinction is two things that are routinely conflated:
PostMessage, so the cursor and keyboard focus are physically never touched. cua-driver has it (ax mode). ahk-mcp does not, and the distinction is narrower than "no UIA": it reads through UIA (ahk_uia_tree / ahk_uia_find / ahk_uia_url), but it has no UIA *pattern action* — per its README it acts with coordinate clicks or synthetic keys, so an action does move the real cursor.GetLastInputInfo, waits when it sees you using the machine, and on timeout refuses (user-active) instead of barging in. As of 2026-09-25 a pattern search across the other three codebases in that table found no equivalent — that is search evidence, not proof, and it covers input-age detection only: cua-driver does have human-facing guards of a different kind (a consent requirement, and foreground-steal detection with restore).effect_verified is likewise something the alternatives lack: it splits "the call was accepted" from "the effect happened" and gives three states (true changed as expected / false accepted but unchanged, downgraded to a failure / null no comparable state, i.e. unconfirmed). The usual alternative is to re-observe once after the action and leave the judgement to the model.
What dsh-cua does not do (stated up front to avoid misunderstanding): no grounding of its own — the server does not analyse pixels, so a text-only model cannot drive interfaces that a tree cannot express (canvas, games, remote desktop). With a vision-capable model the pixel path is supported end to end: capture_window returns the image together with a verified image→screen mapping (bounds, scale, dpi_verified), and the model supplies the grounding. Also not provided: record-and-replay, and an isolation sandbox. There are better-suited tools for those.
Why not run the agent on a second desktop or a virtual display, so it never touches mine?
Because Windows has nothing to build that on, and the mobile design that does work rests on exactly the missing piece. On Android an app can create a VirtualDisplay and address input at it — an input event carries a display id, so the agent's taps are routed to its own screen and the human's touchscreen never notices. Windows routes input per desktop, not per display: a desktop has one input queue and one cursor position.
That makes the obvious analogues dead ends:
| Idea | Why it does not isolate |
|---|---|
| Add a virtual monitor (an indirect display driver) | Another canvas, not another cursor — the pointer still has a single position across all monitors |
A Windows virtual desktop (Win+Ctrl+D) | A view switch inside the same session: same input queue, same cursor |
| A second session (RDP, or another user) | Isolation is real, but client Windows allows one interactive session per user at a time — connecting remotely locks the console, so the human loses their screen, which was the whole point |
A hidden Win32 desktop (CreateDesktop) | The agent would get its own input queue and cursor, but its windows are invisible, so it can only drive instances it launched — not the program you are looking at. (Inferred from the window-station/desktop model; not measured here.) |
That table is about input, and it is worth being exact about what a second display *does* buy, because the answer is not "nothing". Measured on Edge with an isolated profile (tests/verify-visible-vs-foreground.py): Chromium builds a page's accessibility tree for a window that is merely shown. A window minimized before any query reported no page; the same window reported a named page as soon as it was shown — while not the active window (GetGUIThreadInfo(hwndActive) false) and fully covered (0% of its area on top). Every state was read back from the OS rather than assumed, and a ForegroundWatch around each walk (1.4-2.7M samples, foreground unchanged) shows the read takes no focus at all. A browser window parked on a second display is therefore readable with skyshot while your focus never leaves your screen.
Input does not survive the move. A WM_CHAR posted to that same window is accepted by PostMessage and changes nothing — covered or uncovered — while the identical post to the same window *when it is a
Only the beginning is shown; read the rest in the repo