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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Airlox

de claudezssversión 0.1.5i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.claudezss/airlox

Instalar

Resumen

Descripción del creador (original en inglés)

Run your coding agent's commands on machines you own: a sandboxed job slot, not an SSH login.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Herramientas para desarrolladores

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: AIRLOX_OWNER_INVITE_DIR, AIRLOX_NAME, AIRLOX_RELAY

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Descargar el archivo .mcpb del creador

El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.

Ejecuta esto en tu terminal

claude mcp add airlox --env AIRLOX_OWNER_INVITE_DIR=your-value --env AIRLOX_NAME=your-value --env AIRLOX_RELAY=your-value -- npx -y airlox mcp --allow-dir your-value

Completa los valores vacíos antes de ejecutarlo.

Este necesita valores en su línea de comandos, así que copia la configuración y complétalos.

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "airlox": {
      "command": "npx",
      "args": [
        "-y",
        "airlox",
        "mcp",
        "--allow-dir",
        "your-value"
      ],
      "env": {
        "AIRLOX_OWNER_INVITE_DIR": "your-value",
        "AIRLOX_NAME": "your-value",
        "AIRLOX_RELAY": "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 necesita valores en su línea de comandos, así que copia la configuración y complétalos.

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "airlox": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "airlox",
        "mcp",
        "--allow-dir",
        "your-value"
      ],
      "env": {
        "AIRLOX_OWNER_INVITE_DIR": "your-value",
        "AIRLOX_NAME": "your-value",
        "AIRLOX_RELAY": "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.

Valores que debes completar

  • AIRLOX_OWNER_INVITE_DIR env
    Where to save the owner link of each session the agent creates, for you to open. The tools cannot read it.
  • AIRLOX_NAME env
    The name other participants see.
  • AIRLOX_RELAY env
    The relay for new sessions (for a self-hosted relay).

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub claudezss, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Herramientas para desarrolladoresi

  • Más estrellas que el 0% de los otros 4924 servidores de esta categoría
  • Publicado en el registro más recientemente que el 78% de los otros 4924 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 4924 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Airlox?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.5) llegó al registro hace 10 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js, Python (uv), MCPB en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP

Alternativas

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

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

de githubMuy usado★ 34,2 milActualizado hace 5 días

Computadora o nube

Desktop Commander

MCP server for terminal commands, file operations, and process management

de wonderwhy-erMuy usado↓ 709,6 mil/sem★ 10,2 milActualizado hace 17 días

Se ejecuta en tu computadora

Cloudflare MCP

Cloudflare MCP servers

de cloudflareEn crecimiento★ 4,4 milActualizado hace 14 meses

Se ejecuta en la nube✓ mcp.cloudflare.com

README del creador

Abrir el README

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.

Airlox

A sandboxed job slot on machines you own, for any coding agent: run tests and commands there instead of handing the model an SSH login. End-to-end encrypted sessions for messages, files and code between agents, too.

airlox.app · Use cases · Design · Protocol · Self-hosting


A machine for your agent

Give a coding agent a job slot on hardware you own (the GPU box, the build server behind the firewall) instead of an SSH login. With the airlox binary installed, on the agent's side:

airlox machine add gpu-box --image ghcr.io/me/ci:latest

It prints one command to run on the machine, waits for that runner to join, and approves exactly it (at a terminal it shows the runner's key first and asks; --yes skips that):

airlox runner join --code 7-guitar-orbit --name gpu-box --sandbox docker --image ghcr.io/me/ci:latest --workspace

Then, from any checkout, as often as you like:

airlox run --on gpu-box --tree -- pytest -x tests/
gpu-box · job 7Qk… · pytest -x tests/ · tree 412 files, 3.1 MB (18 changed)

============================= test session starts ============================== collected 212 items … ── completed · exit 1 · 41.2 s · peak 318 MB · signed by runner gpu-box

The job is a shell command run with the image's tools (or, with --sandbox local, the machine's own), sandboxed, without network unless you add the machine with --network. --tree sends the working tree as it is right now, uncommitted and untracked files included and ignored ones left out (it refuses files named like credentials, such as .env or *.pem, unless --tree-allow names them; --tree-exclude and .airloxignore leave files out; Git LFS files go as their pointers, so leave large fixtures out and send them with --input), and the job starts in your current directory within it. The runner keeps a workspace per sender, syncing each tree into it, so node_modules, target/ and .venv survive and the second run of the afternoon is fast (--fresh starts over); after the first run, only the files that changed are uploaded. Output streams as it happens; the signed result is the authority. airlox run --shell ci.sh sends a script, and airlox run file.py still sends Python.

A hosted agent (Claude Code on the web, Codex cloud) gets the machine's sender invite in AIRLOX_INVITE (airlox machine invite gpu-box, or --code for a one-time code) and runs airlox run --tree -- pytest. airlox run --no-wait hands back a job id; airlox result --wait 2h -- or airlox listen --once picks it up later, and airlox job ls lists jobs. airlox machine ls shows each machine's runners, kinds, image and last job; airlox machine approve adds a second box to a pool (--on pool/gpu targets a label); airlox machine rm closes it. On the machine, airlox runner serve restarts the runner after failures, and airlox runner install-service --code … installs it as a systemd user unit or a launchd agent, with the PATH you install it from.

The image needs python3, since the job shim is a Python script: the official node, rust and golang images lack it, so add it to yours (the runner checks at startup and says so).

Machines are sessions underneath (below), with their invites kept under ~/.cache/airlox/machines/. A machine is a job slot, not a login: jobs run in the sandbox with the limits the session signed, and the sender invite can do nothing else. For a trusted local agent and a machine you can already SSH into, SSH is fine.

What a session is

Airlox gives two or more agents (or an agent and a person) a private, temporary place to work together. One party creates a session and hands out invite links; each link carries the keys for one role. Participants share text, Markdown, Python, ZIP archives and images, and in execute sessions they can send Python to a runner on someone else's machine and receive its output and files back. The relay in the middle only ever sees ciphertext.

Features

  • A job slot, not a login. A headless runner on your machine executes signed shell or Python jobs, one process each, in a Docker container (no network unless allowed, read-only root, dropped capabilities, time and memory limits) or, on Linux, a namespace and Landlock sandbox, and posts back a signed result with the output, exit code and any files the job wrote. No LLM runs on the machine.
  • Your working tree, warm. --tree sends the checkout as it is, uncommitted changes included and credential-named files refused; the runner keeps a workspace per sender, so dependencies and build output survive between runs and only changed files are uploaded after the first.
  • Works where SSH does not. Both ends make outbound HTTPS to the relay: machines behind NAT or a firewall, and hosted agents (Claude Code on the web, Codex cloud) whose sandboxes have no SSH client and no key store.
  • The relay never sees content. Every item is encrypted with AES-256-GCM under its own key and signed with Ed25519, on your relay or ours. Keys travel only in the invite link's fragment, which browsers never send to the server; the relay keeps no database and nothing after a session ends.
  • Roles, not accounts. Owner, sender, observer and runner invites grant exactly what each participant may do, proven by a certificate signed with that role's key and fixed in the manifest the owner signed. A sender invite handed to a hosted agent can submit sandboxed jobs to approved runners and nothing else; the owner approves each runner before it receives work.
  • Also a room for agents. The same session carries messages, Markdown, ZIPs and images between agents and people: hand a review to a bot on another machine, let a lead observe, or have two agents wake each other with addressed messages.
  • One protocol core. Cryptography, wire formats and input validation live in a single Rust crate, used natively by the relay and runner, by Python through PyO3 and by the browser through WebAssembly, and checked against shared conformance vectors.

How it works

 agent (SDK) ─┐                                   ┌─ runner (airlox runner join)

│ HTTPS + server-sent events │ browser UI ──┼───────────▶ relay ◀───────────┤ │ ciphertext and signatures only │ agent (SDK) ─┘ (airlox.app) └─ agent (SDK)

  1. The owner creates a session. Its signed manifest fixes the mode, lifetime, allowed content types and, for execute sessions, the job limits.
  2. The owner shares invite links of the form https://airlox.app/s/ #…, with the session key and a role key after the #.
  3. Participants join with a certificate for their role, then post encrypted, signed items. Every participant verifies every item locally; the relay checks signatures and limits but cannot read content.
  4. In an execute session a sender targets a runner by name or label and sends a shell command or Python file, with its working tree or other inputs. The runner verifies the job, syncs the tree into that sender's workspace, runs the job in its sandbox, streams its output and returns a signed result bound to that job.

The full design is in docs/DESIGN.md and the wire format in docs/protocol.md.

Getting started

Install

The airlox binary is the command-line client, the runner and the MCP server. Any of these puts it on your PATH:

npm install -g airlox        # or run it with npx -y airlox …

pip install airlox # with the Python SDK; or run it with uvx airlox …

There are prebuilt binaries for macOS (arm64, x64), Linux (arm64, x64; static, so any distribution) and Windows (x64), also on the releases page, each with SHA256SUMS. On Windows, runners use Docker or the process sandbox (docs/windows-runner.md). Elsewhere (and wherever pip finds no wheel, such as Alpine, so installs the SDK without the command), build it with cargo install --git https://github.com/claudezss/airlox airlox.

From the command line
airlox session create --json                 # prints invite links per role

export AIRLOX_INVITE=' ' airlox send text "Build finished." airlox send file report.md AIRLOX_INVITE=' ' airlox watch # print items as they arrive airlox send text "Review parser.py?" --to coder # address it; --reply-to links an answer airlox listen --once --json # block until something concerns you, print it, exit airlox listen --agent codex --resume --from owner # or wake an agent per batch (--fresh for a new conversation; claude, --exec) airlox delivery # who has fetched your items

Every command takes the invite from AIRLOX_INVITE (or --invite, which is visible to other local users in ps) and prints JSON with --json. See airlox --help.

From an AI agent

Coding agents with a shell (Claude Code, Codex, Cursor, Gemini CLI) use the CLI; skills/airlox/SKILL.md teaches them how. Add it to your agent's skills, or point the agent at it.

Agents talking to agents wake only for what concerns them: messages addressed to them (--to), replies to their own items (job results included), and the owner's messages to everyone (a message without --to wakes only its replied-to author, unless the owner sent it). Claude Code runs airlox listen --once in the background and is woken when it exits; Codex and other headless agents are started per batch by airlox listen --agent codex|claude --resume (or --fresh; one is required, so the folder's most recent conversation is never woken by accident) or --exec, which pass only item ids, never message text. The woken agent reads them with its airlox MCP server, which joins as the listener (listen hands it AIRLOX_INVITE, AIRLOX_NAME, AIRLOX_CACHE_DIR and AIRLOX_DESCRIPTION from its own flags or environment), and only the airlox read and reply tools are pre-approved for it. Codex's shell tool is told to drop AIRLOX_*, so the invite stays out of what the agent runs; headless Claude Code cannot run Bash unasked. Codex runs only in a git repository. --agent requires --from, since a woken agent acts on what the sender asks: --from owner lets only the owner wake it, and a participant key is just as safe. A display name or role: is not: anyone with an invite picks their own name, and a role is shared by everyone who joined with that link (listen warns about names). Without --from anyone can wake an --exec command too, so agents can talk to each other; give it --from owner unless every participant is trusted. --run-timeout (default 30m) kills a command that hangs, with everything it started (its own process group on Linux and macOS; on Windows only the command itself), and Ctrl-C to listen stops it too. --pending-timeout (default 60s) skips an item that cannot be fetched, and wakes for it if it arrives later (not across a restart). A reply chain of more than 8 agent posts in a row with no person in between

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx