Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Let agents drive vim, htop, lazygit: send keys, wait on screen state, read the rendered cell grid.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"smartcli": {
"command": "uvx",
"args": [
"smartcli-toolkit"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add smartcli -- uvx smartcli-toolkitPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"smartcli": {
"command": "uvx",
"args": [
"smartcli-toolkit"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"smartcli": {
"type": "stdio",
"command": "uvx",
"args": [
"smartcli-toolkit"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub dwgx, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.3.5) llegó al registro hace 26 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Python · MIT · ★4
*Read this in: English · 简体中文 · 繁體中文 · 日本語 · 한국어*
A local Python toolkit for driving, perceiving, and rendering the terminal — three agent skills over one pluggable PTY + `pyte` core.
Let an AI drive, perceive, and render real terminal programs. SmartCLI reads the actual screen with a pyte cell model — not a byte pipe — so it knows which menu row is highlighted, presses the right keys, and waits for the screen to settle. Below: it drives the real lazygit TUI end-to-end (arrow-key navigation, opening a commit diff, highlighting a branch) — no script, no mock.
pip install smartcli-toolkit
Requires Python 3.10 or newer. The install includes the shared Python library, the persistent TUI driver, and the stdio MCP server.
Copy-paste this. It starts a real Python REPL under a PTY, waits for the prompt (never a blind sleep), types into it, and reads the screen back:
pip install smartcli-toolkit
SID=$(smartcli-tui start --cmd "python3 -i -q" --cols 80 --rows 24 --json | python3 -c "import json,sys;print(json.load(sys.stdin)['sid'])") smartcli-tui wait-regex --id $SID ">>> " --timeout-ms 15000 smartcli-tui send-line --id $SID "print(6*7)" smartcli-tui wait-regex --id $SID "42" # prints the cell grid it sees smartcli-tui close --id $SID
On Windows use --cmd "py -i -q". Swap the command for vim, htop or lazygit and the same five verbs drive those too — that is the whole point: `wait-regex` and friends react to what the screen actually shows, so an agent never guesses whether its keystroke landed.
Want the same thing against a real editor, end to end and verifiable? examples/drive_vim.py drives the actual vim binary — opens a file, appends a line, saves, and then checks the filesystem, not the screen:
python examples/drive_vim.py
Note the fourth step. It is there because the example itself once sent five keystrokes back to back with nothing between them, and under load vim had not processed G by the time o arrived, so nothing was inserted and the run failed with no useful diagnosis. Confirming insert mode proves both keys landed — the same discipline the tool exists to provide, applied to its own demo.
Run the same file against smartcli-toolkit==0.1.8 and two steps fail — and the file is *never saved*, because a driver that cannot see the alternate screen mistimes the :wq. That is why the emulation work below matters: a wrong screen model does not error, it silently succeeds at nothing.
Already running an MCP client (Claude Code, Cursor, VS Code)? The same verbs are MCP tools, with the per-session token attached for you:
smartcli-mcp # stdio MCP server; or `uvx --from smartcli-toolkit smartcli-mcp`
SmartCLI is a workspace for terminal work that agents and humans both do: driving interactive terminal programs, perceiving what a screen actually shows, and rendering visuals and layouts back out. It is built on one shared, pluggable PTY backend plus a pyte screen model — chosen over screenshot/vision so a single structured screen model feeds both perception (read the screen) and rendering (draw the screen). The PTY layer is intentionally not tmux-bound: local dev runs on Windows via ConPTY (pywinpty), while target programs can run under POSIX ptys or tmux elsewhere. Three skills sit on that core, each a self-contained tool you run in place from the checkout.
The demo above is SmartCLI driving lazygit — a real full-screen curses app — through its perceive → act → confirm loop: it reads the pyte cell grid (which row is selected, the alt-screen diff), moves with arrow keys, opens a commit's diff, and highlights a branch. Captured by driving the actual program in a Linux container, not scripted or mocked. A byte-stream matcher like pexpect can't perceive "which row is highlighted"; a screen model can.
How we know the perception is right. A screen model is only useful if it matches what a real terminal shows, so we measure that instead of asserting it: identical bytes go to a real tmux pane and to our model, and the two cell grids are diffed. Three suites do it — 34 curated cases, a three-way check that only trusts a behaviour when **tmux *and* GNU screen agree, and a generative fuzz over random VT sequences. That campaign found and fixed 12 emulation bugs**, including the alternate screen buffer (pyte implements none of modes 1049/1047/47, so a full-screen program's output used to be painted over the main screen and never restored). Scope and remaining edges: LIMITATIONS.md.
Real captures of the cmd-art fx engine — each GIF is the actual effect rendered frame-by-frame through the project's own pipeline (no screen recorder). Reproduce any with python -m fx play (see Quickstart).
solarsystem — an orrery: planets on elliptical orbits around a pulsing sun
| donut — the classic ASCII torus | fire — demoscene heat field | rain — Matrix digital rain |
🌐 [Explore the live showcase →](https://dwgx.github.io/SmartCLI/) — play with
the effect engine, drive a menu with arrow keys, and poke the widgets, right in
your browser.
Just want the three Claude Code skills? Download one zip, unzip it, done — no git, no pip, no marketplace:
curl -LO https://github.com/dwgx/SmartCLI/releases/latest/download/smartcli-skills.zip
unzip smartcli-skills.zip -d ~/.claude/skills/
That gives you cmd-art, drive-tui and tui-ui (309 KiB total). cmd-art and tui-ui then work with nothing but CPython 3.10+ — verified on a bare virtualenv, all 30 effects and all 17 widgets load. drive-tui additionally needs pyte, which the PyPI install below provides. Or install all three via the plugin marketplace: /plugin marketplace add dwgx/SmartCLI.
Primary — from PyPI (the library, the CLI, and the MCP server):
pip install smartcli-toolkit
Distribution vs import name: the PyPI distribution is
smartcli-toolkit
(the names
smartcli/smart-cliwere taken or blocked), but the importable
package is
smartcli_core. So afterpip install smartcli-toolkityou still
write
from smartcli_core import PtySession.
Alternative — reproduce the full dev environment from a source checkout:
git clone https://github.com/dwgx/SmartCLI SmartCLI
cd SmartCLI python -m pip install -r requirements.txt
requirements.txt installs pyte, the MCP SDK, and pywinpty on Windows only (POSIX uses the stdlib pty backend). pip install . installs smartcli_core plus the smartcli-tui, smartcli-mcp, and smartcli-toolkit commands. The visual cmd-art and tui-ui skills still run in place from a checkout via python -m fx and python -m ui.
Optional extras (real FIGlet fonts, raster images, authoritative cell widths — all degrade gracefully to stdlib fallbacks when absent):
python -m pip install -r requirements-optional.txt
pip install ".[all]" # pyfiglet + Pillow + wcwidth pip install ".[art]" # pyfiglet only pip install ".[image]" # Pillow only (also: the PNG screenshot harness needs it) pip install ".[width]" # wcwidth only
Windows note: set UTF-8 output before running any skill so box-drawing and CJK glyphs encode cleanly (the CLIs also auto-reconfigure stdout, but set this to be safe):
set PYTHONIOENCODING=utf-8
Verified dep versions on the dev box (Windows 11, CPython 3.14.6): pyte 0.8.2, pywinpty 3.0.5, pyfiglet 1.0.4, Pillow 12.2.0, wcwidth 0.8.1.
Diagnostics. python -m smartcli_core prints your OS, Python, terminal, PTY backend, and dependency versions. smartcli-tui doctor reports where the core was loaded from and whether drive dependencies are present. Include both outputs when filing a terminal-sensitive bug.
cd skills/cmd-art
python -m fx list # list all 30 effects python -m fx play donut --seconds 5 # play one effect (bounded) python -m fx gallery # one frame of each effect python -m fx show --seq "donut:fire:3,plasma::3"
cd skills/tui-ui
python -m ui widgets # list all 17 widgets python -m ui gallery --width 100 --height 30 python -m ui demo table --width 80 --height 12 --theme dashboard
Persistent-session CLI (state survives across shell calls):
smartcli-tui start --cmd "python3 -i -q" --cols 80 --rows 24
smartcli-tui wait-regex --id ">>> " --timeout-ms 15000 smartcli-tui send-line --id "print(6*7)" smartcli-tui snapshot --id smartcli-tui close --id
On Windows use py -i -q as the child command. From a source checkout, replace smartcli-tui with python skills/drive-tui/scripts/tui.py.
Or drive from any MCP client — the same verbs as MCP tools, with the per-session token attached automatically:
pip install smartcli-toolkit
smartcli-mcp # stdio MCP server; smartcli-toolkit is an equivalent alias
Solo se muestra el principio; lee el resto en el repo