Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Signed, cited, replayable workflows for Claude, Codex, Gemini, DeepSeek, and other agents.
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": {
"cool-workflow": {
"command": "npx",
"args": [
"-y",
"cool-workflow"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add cool-workflow -- npx -y cool-workflowPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"cool-workflow": {
"command": "npx",
"args": [
"-y",
"cool-workflow"
]
}
}
}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": {
"cool-workflow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"cool-workflow"
]
}
}
}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 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub coo1white, 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 (0.1.97) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, FactLot
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.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
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.
Cool Workflow (cw) is a small command-line tool that turns your AI coding agent's chat answer — easy to lose, hard to check — into a saved report. Point it at a repo, or any folder of docs, and:
file.ts:42. A result with no evidence stops instead of passing through.The model is fuel. CW is the black-box recorder, the dashboard, and the gearbox — never the engine.
It never calls a model API, never holds your keys, and never uploads your code.
You need two things, and one more for real runs:
wsl --install in PowerShell, then open "Ubuntu" from the Start menu) and type every command below in that Ubuntu window.node -v. If it is missing or older, get it from nodejs.org (take the LTS one).npm install -g cool-workflow
cw version
cw version prints the version number when the install worked.
Install trouble?
| What you see | What to do |
|---|---|
EACCES: permission denied | Do not use sudo. Put Node in your home folder with nvm, then run the install again. |
cw: command not found | Close the terminal and open a new one. If it is still not found, npm prefix -g gives the folder; its bin folder needs to be on your PATH. |
Unsupported engine or a Node error | Your Node is older than v22.13: update it (node -v to check). |
Or install with Homebrew
brew tap coo1white/cool-workflow https://github.com/coo1white/cool-workflow
brew install coo1white/cool-workflow/cool-workflow cw version
Upgrade later with brew update && brew upgrade cool-workflow.
You need: Node.js v22.13 or newer. No agent yet? Step 1 below still works — CW never runs a model itself.
Runs on: Linux, macOS and Windows through WSL. Native Windows is not yet supported: CI runs it to measure what still fails, and that work is going on.
| Agent | Flag | Status | Get it |
|---|---|---|---|
| Claude Code | -claude | ✅ works | install |
| Codex CLI | -codex | ✅ works | install |
| Muse Code | -muse | ✅ works | — |
| OpenCode | -opencode | ✅ works | install |
| Gemini | -gemini | ✅ through opencode | install OpenCode |
| DeepSeek | -deepseek | ✅ through opencode or an HTTP endpoint | install OpenCode |
| GitHub Copilot CLI | -copilot | 🧪 beta | install |
| Antigravity | -antigravity | 🧪 beta | install |
| Grok | -grok | ✅ works (add -grok) | install |
| Cursor | — | ⬜ not yet | |
| Aider | — | ⬜ not yet | |
| Qwen Code | — | ⬜ not yet | |
| Kimi | — | ⬜ not yet |
🧪 beta: CW has a wrapper and an offline test for it, but no real login has passed cw doctor --conformance yet, and cw never picks it by itself: add its flag.
Log in to your agent once on its own (run it, for one claude, and follow its steps) before you use it with CW: CW uses your agent as it is set up, and never asks for your keys.
Not sure what you have? cw doctor checks your setup and cw fix prints the commands that put it right.
cw demo tamper
cw -q "How does auth work end-to-end here?"
CW uses the current repo and the first agent it finds on your PATH. Want a specific agent? Add a flag from the table above, such as -claude.
A full review takes about 4 minutes on a real repo (14 workers; the Map and Assess stages run at the same time). One focused question? Add --fast: 6 workers in place of 14, the same cited answer for fewer agent calls.
The report opens in your browser by itself when the run ends. It starts with the answer, then the evidence behind it. Later, open it again with:
cw report --open
Want to see one first? A real run's Workbench and report, rebuilt on every push: [coo1white.github.io/cool-workflow](https://coo1white.github.io/cool-workflow/) (the report is at /report.html).
An agent that says "all tests pass" has only said it. Run the tests through CW and keep a receipt:
cw check -- npm test
CW runs your command (never a model) and saves what happened: the commit, the exit code, a digest of the output. A result that cites receipt:rc-… is checked again before it counts: a failed run, a missing receipt, or code that changed since the run is turned down, with the one command to fix it. cw check list shows your receipts.
These steps are the core path. Everything else is kept working, not grown.
| Word | What it means |
|---|---|
| agent | The AI coding tool on your machine (Claude Code, Codex, …) that does the reading and thinking. CW gives it small tasks. |
| run | One question, from start to report. Each run has an id, and its files are kept in .cw/runs/ / in your project. |
| report | The answer, with the evidence for each claim (file.ts:42). Kept as report.md, and opened in your browser. |
| evidence | A pointer to a real line of code. A claim without it is not let through. |
| receipt | A record, from cw check, that a command (for one, your tests) truly ran and how it ended. |
| resume | Going on with a run that stopped: cw --resume --run . |
CW does not run the model — it keeps the books. Your agent signs its findings (ed25519), and cw report verify-bundle checks — offline, with only the public key — that every signed finding is in the report unaltered. CW holds no private key: the agent signs, CW only verifies. This proves the signed findings reached you unaltered — not that nothing else was added, and not that none were left out. See the [Trust Model](plugins/cool-workflow/docs/trust-model.md).
| Problem | Fix |
|---|---|
| No agent found | cw doctor — shows which agents are on your machine |
status: blocked | Set CW_AGENT_COMMAND=builtin:claude or pass -claude |
claude: command not found | Install Claude Code and run again |
| Where is my report? | /.cw/runs/ /report.md, or run cw report --open |
Missing required input: question | Add -q " " |
| Run stopped before the end | Fix the cause, then cw --resume --run takes it to the end; a worker that stopped gets fresh tries (inside the project, or add --repo ) |
... is not a git project | Run it inside the project, or pass --repo |
Run was made for | The run belongs to another folder (a copied or moved repo): pass --repo , or move it with cw run export and cw run import |
CW dogfoods its own release: every cut runs release-cut against this repo.
BSD-2-Clause. Built by COOLWHITE LLC.