Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
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.
ENTROLY_MCP_PROFILE, ENTROLY_MCP_PASSIVE, ENTROLY_NO_DOCKERNecesitas
¿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": {
"entroly": {
"command": "npx",
"args": [
"-y",
"entroly-mcp"
],
"env": {
"ENTROLY_MCP_PROFILE": "your-value",
"ENTROLY_MCP_PASSIVE": "your-value",
"ENTROLY_NO_DOCKER": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add entroly --env ENTROLY_MCP_PROFILE=your-value --env ENTROLY_MCP_PASSIVE=your-value --env ENTROLY_NO_DOCKER=your-value -- npx -y entroly-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"entroly": {
"command": "npx",
"args": [
"-y",
"entroly-mcp"
],
"env": {
"ENTROLY_MCP_PROFILE": "your-value",
"ENTROLY_MCP_PASSIVE": "your-value",
"ENTROLY_NO_DOCKER": "your-value"
}
}
}
}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": {
"entroly": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"entroly-mcp"
],
"env": {
"ENTROLY_MCP_PROFILE": "your-value",
"ENTROLY_MCP_PASSIVE": "your-value",
"ENTROLY_NO_DOCKER": "your-value"
}
}
}
}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 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub juyterman1000, 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 (1.0.88) llegó al registro hace 7 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv), Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, AikenDewit
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ 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.
Read, add and schedule your AikenDewit tasks and today's top three from ChatGPT or Claude.
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.
Entroly — Select AI context with auditable recovery.
Receipt-backed selection records: what was kept, what was omitted, and the handle that recovers the exact original bytes.
Compression you can undo, on your own repository, in one command — without replacing your model or agent architecture.
pip install -U entroly · entroly verify-claims · entroly simulate
Entroly is an open-source, local-first AI token-efficiency and Context Assurance layer: budgeted evidence selection, recoverable context compression, content-addressed evidence recovery, and auditable receipts. Works through VS Code, Claude Code, Cursor, Codex, OpenClaw, GitHub Copilot, Aider, and OpenAI/Anthropic-compatible apps.
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What is it? · Install · Quickstart · Benchmarks · Questions · Contribute
Entroly is a local-first context control plane for AI coding tools. It selects evidence within a token budget, preserves recoverable omissions, and records selection decisions in receipts. Three properties to evaluate on your task:
| 💰 Avoidable input cost | Smaller requests can reduce input cost when they reach a provider through an Entroly-controlled route. The result depends on the workload and provider cache — see the real numbers below. |
| 🔍 Recoverable originals | Receipt-backed recovery retains source material locally. Exact recovery requires the referenced store and source bytes to remain available; it does not guarantee answer quality. |
| 🧾 You can check its work | Every decision comes with a receipt: what was kept, what was left out, and why. |
Do I have to change my code? No. On hosts with a verified prompt hook, Entroly runs before the model plans. MCP-only integrations remain callable tools that an agent may skip; API traffic is intercepted only when it is routed through the Entroly proxy. Check entroly activation status --json instead of assuming an installed integration is active.
Do I need to pay for anything to try it? No. The two commands in the Install section below run on your own machine, with no API key, and show you real numbers on your own project before you connect anything paid. (Missing native-engine support is reported without downloading packages — see the note under Install.)
Switching coding agents mid-task? entroly-work resume reconstructs unfinished work from durable repository evidence, even if the previous agent left no handoff. The receiving agent must review the inferred state and acknowledge it before claiming work through Entroly. Start with entroly-work --project . --json resume --to-agent codex; the agent continuity guide shows the complete flow and how to measure whether it actually saves rediscovery work on your tasks.
Start with development setup and repository layout, then follow the architecture, style guide, and test instructions for the surface being changed. Source, delivery adapters, and benchmark evidence have different review requirements; the contributor guide explains their boundaries.
Not sure which one? Pick Python. It's the complete version and what
most people use. The other packages expose different runtime surfaces.
| Platform | Install | What you get |
|---|---|---|
| 🐍 Python (pip) — *recommended* | pip install -U entroly | Everything: the command-line tool, the server your AI editor talks to, and the code library |
| 📦 Node / npm | npm install -g entroly | Local Node/WASM CLI; the Python package has a broader CLI, SDK, and proxy surface |
| 🦀 Rust (source build) | cd entroly-core && cargo build --release --bin entroly-rs --features proxy | One self-contained program, no Python or Node needed |
| 🍺 Homebrew | brew install juyterman1000/entroly/entroly | The command-line tool on macOS/Linux |
| 🐳 Docker | docker pull ghcr.io/juyterman1000/entroly:latest | Runs in a container, nothing installed on your machine |
Prefer a package runner instead of a global install? These commands use the same published artifacts in an isolated tool cache:
# Node or Bun / WASM runtime
npx -y entroly@latest --help pnpm dlx entroly@latest --help bunx --bun entroly@latest --help
uvx --from entroly entroly --help pipx run --spec entroly entroly --help
The Node commands provide the local WASM CLI. The Python commands provide the complete CLI, SDK, MCP, proxy, verification, and native-engine path described above. Entroly's release workflow smoke-tests all five runners against the exact version before a release is considered complete.
Now check that it worked — free, no API key:
cd /your/repo
entroly verify-claims entroly simulate
Both run locally. Neither calls an AI or proves answer quality, activation, or a lower provider bill. Use a task-specific --query with simulate; if it reports Relevance ranking is OFF, run entroly doctor before evaluating the selection.
Runtime package repair is off by default. If the native engine is missing, query-conditioned selection is unavailable and reduction figures are labelled unearned. Install it explicitly with python -m pip install -U entroly-core, call entroly.repair() from Python, or set ENTROLY_ENABLE_SELF_HEAL=1 to permit startup repair. This downloads through the configured package index (normally PyPI). ENTROLY_NO_SELF_HEAL=1 and ENTROLY_AIR_GAP=1 override repair consent. See Privacy and recovery-data security.
Extras (entroly[proxy], entroly[native], entroly[full]), the standalone Rust binary, and uninstall steps: Engine & install options.
Contributing from source? Follow the reproducible development setup. Local installation and the normal test suite need no API key; .env.example documents only optional workspace, offline, provider, and proxy settings.
Start with the [local check](#install).
entroly goregisters an MCP
server for a detected editor and starts a proxy and dashboard. Route API
traffic through that proxy or use a supported host hook, then verify that
the integration actually ran. The table below shows the available paths.
| Your situation | Do this | What it gets you |
|---|---|---|
| 🟢 "I control my app's API base URL." *(pip / Python user)* | pip install -U entroly && entroly go | Starts the local proxy and dashboard; point your app at the displayed URL and check observed requests with entroly value --json |
| "I use Node, not Python." *(npm user)* | npm install -g entroly && entroly init | Node/WASM CLI and local MCP path; use Python for the full proxy and SDK path |
| "I want one binary, no runtime." *(Rust user)* | cargo build --release --bin entroly-rs --features proxy (from entroly-core/) | A single native program with no dependencies |
| "I use Claude Code, Codex, Gemini CLI, or VS Code agent plugins." *(plugin user)* | Install the Entroly plugin/extension for that host, submit one prompt, then run entroly activation status --json | A trusted prompt hook performs bounded local selection before planning; a receipt proves the hook ran |
| "I use Cursor with third-party configs enabled." | entroly activation install --host cursor --project . | Merges a reversible Claude-compatible prompt hook; native Cursor MCP remains advisory |
| "I use Kiro IDE 1.x or CLI 3.x." | entroly activation install --host kiro --project . | Installs a reversible project PromptSubmit hook whose stdout is added to agent context |
| "I use another MCP host." | entroly attach create --client claude --project . --ttl 4h --install or the client-specific command in the compatibility matrix | Scoped Entroly tools and receipts;
Solo se muestra el principio; lee el resto en el repo