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

bundlebox

de blackswanalphaversión 0.8.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.blackswanalpha/bundlebox

Instalar

Resumen

Descripción del creador (original en inglés)

Where the work is, packed before the agent reads: brief, symbol tables, findings, token bill.

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: Otros

Instalación

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

Antes de instalar

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 …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "bundlebox": {
      "command": "npx",
      "args": [
        "-y",
        "bundlebox",
        "mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add bundlebox -- npx -y bundlebox mcp

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "bundlebox": {
      "command": "npx",
      "args": [
        "-y",
        "bundlebox",
        "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "bundlebox": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "bundlebox",
        "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.

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 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub blackswanalpha, 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 Otrosi

  • Más estrellas que el 0% de los otros 32466 servidores de esta categoría
  • Publicado en el registro más recientemente que el 48% de los otros 32466 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32466 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 bundlebox?

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 (0.8.0) llegó al registro el mes pasado.

¿Qué apps pueden usarlo?

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

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, HotCodePush

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

HotCodePush

de hotcodepush-team

Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.

Se ejecuta en la nubeActualizado hoy
Instalar

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.

bundlebox The zero-token software factory for AI coding agents.

Scan, pack, route and run work across Claude Code, Codex, Gemini CLI, Cursor, Copilot, OpenCode, Aider and any custom agent, and measure every token a session used and was spared.

An AI coding agent is billed for what it reads, and most of what it reads is orientation, not judgement: where a symbol lives, whether two tables agree, which command proves a change, what changed since last week. bundlebox answers every question a parse, a count, a path check or a set difference can answer *before* the agent opens, packs the answers into a brief sized to the agent's window, opens the agent under a measured-minimal flag stack, and measures afterwards what the session used and what it was spared. It never calls a model itself.

bb genesis   ->  a world     a doc becomes surfaces, rules and capabilities  0 tokens

bb scan -> findings what is wrong, with evidence 0 tokens bb fix -> patches local actuators close what they can 0 tokens bb cookbook -> a board what the RUNNING system does, run by the kernel 0 tokens bb simulate -> limits what it does at a hundred callers 0 tokens bb compile -> units what to do about the rest, packed to one window bb pinpoint -> a brief where the work is, quoted and budgeted, before a model opens bb arc -> an index every declaration in one file, read in microseconds 0 tokens bb route -> lanes who does it, where, in what wave bb run -> sessions the only verb that spends bb finish -> a ledger what proves this done, declared first and run after 0 tokens bb git -> PRs commit, push, draft PR, review, gated merge 0 tokens bb runbook -> the system is it up, is it ANSWERING, what broke since 0 tokens bb recom -> an answer what was already driven, and whether it holds 0 tokens bb recom gate-> a decision and therefore whether to drive at all 0 tokens bb dotty -> a screen what it showed, as rows a session can diff 0 tokens bb sieve -> a window a tool result shrunk before it is billed twice 0 tokens bb uptake -> a verdict of everything wired in, what sessions reached for 0 tokens bb monitor -> the window what the 5-hour block has left, and the guard 0 tokens bb session -> the bill what a session used and saved, measured 0 tokens bb lathe -> automation what this box did by hand more than twice, as scripts 0 tokens bb env -> a checklist what a complete .bundlebox holds, and whether this has 0 tokens

Measured on the reference workspace (regenerate with bb session, bb tokens profile --probe, bb buckmaster episodes):

beforeafter
opening window per spawned session, before any work44.3k tokens29.2k tokens (−34%)
the same findings, planned5 sessions, 1.3M projected2 sessions, 351k (−74%)
one pipeline tick (bb pipeline run intake)226 agent turns133 s, 0 model tokens

Install

npm i -g bundlebox

or

curl -fsSL https://raw.githubusercontent.com/blackswanalpha/bundlebox/main/scripts/install.sh | sh

Needs Node ≥ 20 and git. Linux, macOS and Windows are supported: CI runs the full suite on all three against Node 20, 22 and 24. Two known gaps remain on Windows — a piped acceptance gate reports the last command's exit code rather than the first failure, because cmd.exe has no set -o pipefail (unpiped gates are exact), and bb session may not find transcripts, because the name Claude Code gives its projects directory there has not been verified. Three optional Rust and Python components make it faster and smarter, and everything degrades cleanly without them:

  • Rust kernel (bbk): tree walks, fingerprints, token estimates, duplicate windows, symbol indexes, acceptance gates with real timeouts, worktrees. bb kernel install fetches a release binary; bb kernel build compiles it with cargo. Without it the JS implementations run, and a selftest pins both to identical answers.
  • Rust index compiler (arc): compiles the derived symbol tables into one binary index the read and search guards answer from, 13x faster than scanning the tables in a cold hook process. bb arc build, recompiled by bb snapgen build when the tables move. Every reader falls back to scanning the tables when the index is absent, truncated or not an index, because "there is no index" and "nothing is declared" are different answers.
  • Python expert system (bundlebox_expert, stdlib only): the rule engine with explainable derivations, confidence shrinkage, transcript signals, the process model and memory. bb buckmaster needs python3 ≥ 3.9; nothing in the zero-token path does.

There are no npm dependencies. A cron worker at 03:00 runs what is on disk or it does not run.

Start here

cd your-repo

bb init # detect languages, agents and gates; write .bundlebox/config.json bb doctor # what this box can run, which runtime serves each op bb wire --apply # hooks, skills, instruction blocks and MCP entries for every agent bb env up --apply # build everything a session reads, so nothing is derived by searching bb scan # the detectors. Seconds, 0 tokens bb findings # what the store holds; bb explain for one bb pinpoint gaps # every open finding as a located, quoted, budgeted brief bb pinpoint next # make one of them the ACTIVE brief the guards answer from bb compile # findings -> units, each packed to one window (dry run) bb route # units -> lanes (dry run) bb run # writes the exact prompt and command per lane, spawns nothing bb run --apply # spawns the sessions bb finish check # run the acceptance ledger; unproven never reads as green bb session # what the last session used and saved

From a document instead of from the code:

bb genesis docs/PRD.md --base http://127.0.0.1:4400   # surfaces, rules, capabilities, a seeded corpus

bb genesis plan # what nothing covers, ranked and tiered bb genesis pack # one small brief per surface bb genesis send calendar --run --spend # the only step that costs anything bb cookbook check && bb cookbook run # the kernel executes what came back bb mainboard gaps # the first stage that does not hold, and its fix bb console # one page: the pipeline, the window, every session

Every verb is a dry run until --apply. Only run and bridge send can spend.

Wiring into agents

bb wire --apply installs four things per agent detected on the box: an instruction block between markers, hooks where the agent supports them, skills where it loads them, and an MCP server entry. bb unwire removes only its own blocks, entries, hook rows and skills.

agentinstructionshooksskillsMCP
Claude CodeCLAUDE.mdUserPromptSubmit (builds the brief), PreToolUse Read/Grep/Bash (serves it), SessionStart (table index), PostToolUse (the sieve, off until sieve.enabled), PreCompact, SessionEnd (the bill).claude/skills.mcp.json
Codex CLIAGENTS.md—.codex/skills.codex/config.toml
Gemini CLIGEMINI.md——.gemini/settings.json
Cursor.cursor/rules/bundlebox.mdc——.cursor/mcp.json
GitHub Copilot.github/copilot-instructions.md——.vscode/mcp.json
OpenCodeAGENTS.md——opencode.json
Cline / Roo.clinerules/bundlebox.md———
Windsurf.windsurf/rules/bundlebox.md———
Aider.aider.conf.yml reads AGENTS.md———
any commandlanes.custom_command with {prompt_file} {cwd} {model}———

Two skills ship and cost nothing until they trigger, which is the property an instruction block does not have: it arrives in every system prompt and is billed whether the session was about it or not. bb-finish is completion discipline backed by runnable gates; antislop is the prose ruleset with what each rule costs and what to write instead.

bb mcp serves bb_pinpoint, bb_context, bb_snapgen, bb_findings, bb_scan, bb_oversight_brief, bb_explain, bb_tokens_estimate and bb_session over stdio as JSON-RPC 2.0, with no dependency.

bb wire --apply writes the entry for every agent in the table above. For an agent it does not manage:

{ "mcpServers": { "bundlebox": { "command": "npx", "args": ["-y", "bundlebox", "mcp"] } } }

Claude Code takes it as one line, or as a plugin, which carries the two skills and the hooks with it:

claude mcp add bundlebox -- npx -y bundlebox mcp

or

/plugin marketplace add blackswanalpha/bundlebox /plugin install bundlebox@bundlebox

Full guide, including the agents not in this table, how to wire one bundlebox does not know about, and how to drive agents as lanes: [docs/agents.md](docs/agents.md). bb uptake then reports which of the installed surfaces the sessions reached for.

Advisory lost; enforcement is the fix

bb uptake measured the gap. Over 15 sessions on this workspace the MCP tools fired in 0, pinpoint in 3 of the 13 sessions that opened five or more distinct files, and the reference tables in 5 of the 15 that ran a search. Those 13 sessions opened between 30 and 598 files each. Everything wired in front of the agent was a recommendation, and a recommendation loses to the model's own habit about three times in four.

So the wiring changed kind.

Run it, do not recommend it. UserPromptSubmit builds the brief itself on a task-shaped prompt — 0.47s against a 15s budget, because every input pinpoint reads is a stored artefact and it computes none of them. What enters the window is the map, about 300 tokens.

Serve what it found. PreToolUse denies a read whose region the brief already quotes and hands the quote back in the denial reason; denies an exact duplicate read; denies a declaration search the symbol tables already answer and hands back the rows; and asks before opening a file that was cut for budget. A file in scope is never fully blocked — Claude Code needs one successful read before it will edit, so the denial names the range and that read is allowed. Grep is the declared tool and Bash is where the measured transcripts search, so both are guarded.

Rank on specificity and path. Enforcing a brief raises the cost of a bad locate. Inverse document frequency over the candidate set stops an exact match on a name the tree uses everywhere from outscoring a loose match on a rare one, and a directory named wire now counts as evidence about what a file is for. An explicitly named file is pinned first rather than scored.

The verbs

verbanswerscost
scan, findings, explain, fixsixteen generic detectors with evidence and expected-value triage; local actuators that write a patch before a file0
compile, route, context, gatesunits packed to a window with quoted regions and hoisted evidence; lanes with conflicts as affinity and waves; does this scope fit0

| run | lanes on t

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

Pregunta a PopNx