Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Read-only check that a machine meets a project's declared tool and runtime versions.
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": {
"devready": {
"command": "uvx",
"args": [
"devready-cli",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add devready -- uvx devready-cli mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"devready": {
"command": "uvx",
"args": [
"devready-cli",
"mcp"
]
}
}
}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": {
"devready": {
"type": "stdio",
"command": "uvx",
"args": [
"devready-cli",
"mcp"
]
}
}
}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 Evalogical-Inc, 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 (1.3.0) llegó al registro anteayer.
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, LickityClick
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.
Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.
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.
A zero-dependency, read-only CLI that checks whether your machine actually meets a project's declared requirements, and tells you exactly what to fix. Built for humans, CI, and AI coding agents (Claude Code, Codex, any MCP client).
One command, every requirement checked, exact fixes shown.
DevReady is a command-line tool that tells you whether your computer is set up to work on a project. Run devready check inside a project folder and it:
.nvmrc, .python-version, package.json engines, pyproject.toml requires-python).1 if a requirement is unmet, so it also works in CI.It only looks. It never installs, changes or deletes anything, makes no network calls and sends no telemetry. Fixing the problem (for example switching Node versions) is up to you.
You clone a repo. npm install explodes. The README says "Node 20", your machine has 16, and the error message says nothing useful. Multiply by every new hire, student, CI runner and AI agent that burns tokens guessing why a build failed.
$ devready check
DevReady - Environment Check
[PASS ] Python 3.15.0 found [PASS ] Git 2.52.0 found [PASS ] Node.js 23.5.0 found [PASS ] npm 11.14.1 found [FAIL ] Node engines 23.5.0 does not satisfy package.json engines (>=99) [WARN ] Python pin 3.15.0 does not satisfy .python-version (3.99)
4 passed, 1 warning, 1 failed No changes were made to your system.
Output above is from a real run (pins deliberately set to impossible values to show failures). Exit code
1when a requirement is unmet, so it drops straight into CI.
| 🎯 Project-aware | Reads what *your project* declares (.nvmrc, .node-version, .python-version, package.json engines, pyproject.toml requires-python) and compares it to what is installed. Not just "is Node installed?" |
| 🔒 Read-only by design | Never installs, edits or deletes. Never prints env values. No network. No telemetry. |
| 🤖 Agent-ready | Stable, versioned JSON schema, a Claude Code plugin, an MCP server and AGENTS.md. Agents check first instead of guessing. |
| 🛡️ Prompt-injection safe | Output contains only parsed versions and fixed text, never raw file or command output, so a hostile package.json can't smuggle instructions to your agent (tested). |
| 📦 Zero dependencies | Pure Python standard library. Installs in a second, runs anywhere Python 3.10+ does. |
| ⚙️ CI-friendly | Documented exit codes, JSON output, tested on Linux, macOS and Windows in CI. |
devready check in your README's setup steps and cut "it doesn't work" issues.Install from PyPI:
pipx install devready-cli
uvx devready-cli check
From npm (runs the same PyPI release through uvx or pipx, so one of them must be installed):
npx devready-cli check
No Python tooling yet (for example a JavaScript-only machine)? uv installs without Python, and uvx then runs DevReady with no further setup:
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
uvx devready-cli check
From a clone (for development):
git clone https://github.com/Evalogical-Inc/devReady && cd devReady
python -m venv .venv
python -m pip install -e ".[dev]"
devready check # human-readable report for the current directory
devready check --quiet # only non-pass results (text format) devready check --project ../app # inspect another project's pins devready check --format json # machine-readable (see docs/schema.json) devready explain docker.daemon # what a check means and how to fix it devready check --format junit # or sarif, for CI devready check --only project --skip project.ports # filter by id or prefix devready fix --plan # suggested steps only; never runs them devready check --format json > baseline.json # save a snapshot (commit it for a team baseline) devready check --baseline baseline.json # show only what changed; fail only on new/worse failures devready init > .devready.json # optional config: skip ids, require node/python, required env names devready mcp # run as an MCP server over stdio devready --version
| Exit code | Meaning |
|---|---|
0 | No blocking failures |
1 | A project requirement is not met |
2 | Invalid usage (e.g. bad --project path) |
3 | Internal error |
| Status | Meaning |
|---|---|
pass | Requirement met |
warn | Tool missing, or a soft pin (.nvmrc, .python-version) differs |
fail | A hard requirement (engines, requires-python) is not met |
skip | Not evaluated (tool absent, or requirement syntax not understood) |
error | DevReady couldn't run the check |
{
"schema_version": 1, "results": [ { "check_id": "project.node.engines", "title": "Node engines", "status": "fail", "summary": "23.5.0 does not satisfy package.json engines (>=99)", "suggestion": "Switch versions with your version manager (nvm, pyenv, mise, ...) or update the requirement.", "docs_url": "" } ] }
- uses: Evalogical-Inc/devReady@v1.3.0
with: skip: project.ports # optional; also: only, format, project, version
To show findings in GitHub code scanning, save a SARIF report and upload it. Pin findings point at the file that declares the pin (package.json, .nvmrc, go.mod, ...); tool-only findings have no file.
- uses: Evalogical-Inc/devReady@v1.3.0
with: format: sarif output: devready.sarif continue-on-error: true # still upload when a requirement is unmet
The job fails when a declared requirement is unmet (fail). It installs devready-cli from PyPI, so flags added after your installed release (--only, --skip, junit/sarif) need a release that includes them; set version: to pin one.
Tell contributors your project declares its requirements and can be checked with one command. Paste this into your README:
[](https://github.com/Evalogical-Inc/devReady)
DevReady ships the same engine three ways, so your agent can verify the environment *before* it installs, builds or tests.
Claude Code - plugin with a skill, a /devready:doctor command and an MCP server (the MCP server needs uv; the rest works without it once devready-cli is installed):
/plugin marketplace add Evalogical-Inc/devReady
/plugin install devready --marketplace Evalogical-Inc/devReady
Any MCP client (Codex, Cursor, ...) - one read-only tool, check_environment. Also listed in the MCP Registry as io.github.Evalogical-Inc/devready:
# ~/.codex/config.toml (verify keys against your Codex version)
[mcp_servers.devready] command = "uvx" args = ["--from", "devready-cli", "devready", "mcp"]
Anything else - drop AGENTS.md in your repo, or copy skills/devready. Details in docs/agents.md.
See docs/security.md for the model, docs/versioning.md for what stays stable, docs/checks.md for every check, and SECURITY.md to report a vulnerability.
.nvmrc, .node-version, .python-version, .tool-versions, package.json engines, pyproject.toml requires-python), .env.example vs .env key names, Docker CLI + daemon, compose file validity and image platform (arm64 vs amd64) mismatch (only when the project has a Dockerfile/compose file), free disk space, Windows long paths, PowerShell policy, line endings, WSL version and Docker Desktop engine, macOS/Linux build tools, and (only when the project declares them) Go, Ruby, Java, Rust, .NET, pnpm, Yarn and Bun pins, .env not git-ignored, node_modules vs lockfile, and declared ports already in use.skip rather than guess..venv/venv, else the first python on PATH), and the result names the interpreter checked. DevReady does not look at other virtualenv locations (poetry, conda, pyenv shims)..tool-versions, .env key-name diff, disk space, git identity, devready explainfix --plan, GitHub Action.devready.json config, --baseline snapshotsfnm)--recursive, org `--policSolo se muestra el principio; lee el resto en el repo