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

Outbound OS

de RecepioHQversión 0.2.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.RecepioHQ/outbound-os

Instalar

Resumen

Descripción del creador (original en inglés)

Evidence-gated email outreach MCP with dry-run defaults and explicit send approvals.

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: Streamable HTTP
  • Categoría: Marketing y redes sociales

Instalación

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

Antes de instalar

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": {
    "outbound-os": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add outbound-os -- docker run -i --rm ghcr.io/recepiohq/outbound-os-mcp:0.2.1

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "outbound-os": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
      ]
    }
  }
}

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": {
    "outbound-os": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
      ]
    }
  }
}

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 8 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub RecepioHQ, 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 Marketing y redes socialesi

  • Más estrellas que el 0% de los otros 3592 servidores de esta categoría
  • Publicado en el registro más recientemente que el 69% de los otros 3592 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 3592 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 Outbound OS?

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 (0.2.1) llegó al registro hace 15 días.

¿Qué apps pueden usarlo?

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

¿Qué puedo usar en su lugar?

En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

MCP YouTube Transcript

An MCP server retrieving transcripts of YouTube videos

de jkawamotoEn crecimiento★ 495Actualizado hace 11 días

Se ejecuta en tu computadora

Google Analytics MCP

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

de surendranbEn crecimiento↓ 1,1 mil/sem★ 244Actualizado hace 11 días

Se ejecuta en tu computadora

BibiGPT YouTube Video Summarizer

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

de JimmyLvInicial★ 137Actualizado hace 11 días

Se ejecuta en la nube✓ bibigpt.co

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.

Outbound OS

[Try the interactive policy demo — no installation or signup](https://recepiohq.github.io/outbound-os/)

Official MCP Registry: Outbound OS — active listing (v0.2.1). Public OCI package: ghcr.io/recepiohq/outbound-os-mcp:0.2.1. The MCP server is designed for local operation and has no built-in authentication; never publish its HTTP port to the public Internet.

Use it in an AI coding client: Docker + Claude Code / Cursor MCP quickstart — local-only, no mailbox credentials, three actual MCP tools available for inspection.

Change synthetic buyer, mailbox, evidence, duplicate, and approval conditions in your browser. The interface executes the same deterministic gate and draft-preflight modules as the CLI; it makes no outbound API calls and sends no email. A PASS in this demo is *not* authorization to send a real message. Use Copy scenario link to share the exact synthetic inputs and verdict with another developer; the link never contains real addresses or message data.

*Screenshot from the real browser demo, with synthetic fixtures only.*

Most AI outbound tools optimize for sending more. Outbound OS is built to know when not to send.

Start.

Check. Send.

Those are operator intents, not bypass commands.

Every outbound action still has to pass Buyer Selection, evidence checks, mailbox verification, dedupe, factual preflight, commercial review, deliverability/rate controls, explicit authorization, and an exact approval hash.

Outbound OS is a free, MIT-licensed reference implementation of a decision-gated outbound workflow. It is inspired by the workflow used in the private Zoho MCP operation, but this repository contains no private campaign data, deal state, credentials, or Git history from that project.

Why this exists

A typical outbound stack asks: How do we send more?

Outbound OS starts earlier:

  1. Is this organization worth contacting?
  2. Is the evidence strong enough to justify outreach?
  3. Is the route and mailbox verified?
  4. Have we contacted the organization already?
  5. Is every personalized claim supportable?
  6. Is the exact message still the one that was reviewed and approved?
  7. Is deliverability healthy enough to send now?
  8. Did a human reply, making this a deal instead of a cold lead?

A failed hard gate means STOP.

One-command CLI demo — no global installation

Requires Node.js 22+ and npm. This installs the MIT-licensed release archive into npm's temporary cache (not the global package directory) and executes a synthetic comparison of an allowed and a blocked send:

npm exec --yes --package=https://github.com/RecepioHQ/outbound-os/releases/download/v0.2.1/outbound-os-0.2.1.tgz -- outbound-os demo --compare

This exact command was tested on Windows with Node.js 22/npm 10: it returned PASS for the allowed scenario, BLOCK for an unverified mailbox, blocked.transport_calls=0, and live_sent=false. It downloads the package over HTTPS; it does not connect to a real mailbox or transmit an email.

Prefer the live browser demo if you do not have Node.js installed.

Run as an installable CLI

Optional global install from the verified v0.2.1 release

Requirements: Node.js 22+ and npm. This downloads an MIT-licensed archive attached to the official v0.2.1 GitHub Release, not an npm-registry package.

npm install --global https://github.com/RecepioHQ/outbound-os/releases/download/v0.2.1/outbound-os-0.2.1.tgz

outbound-os demo --json

Verification: The published v0.2.1 GitHub Release and its attached archive were tested on Windows; the installed CLI passed its synthetic comparison. For integrity-sensitive use, verify the archive checksum against the release notes before installing.

No email is sent in the demo. Live sending remains off by default and every real send requires approved context and hard-gate checks.

Node.js 22+ and Git are required. The source is MIT licensed. No mailbox credentials, ChatGPT account, or API keys are needed for the offline demo.

Try from source (recommended first run)
git clone https://github.com/RecepioHQ/outbound-os.git

cd outbound-os npm ci node bin/outbound-os.js --help node bin/outbound-os.js demo --json

Optional global command from a local package archive
npm pack

npm install --global ./outbound-os-0.2.1.tgz outbound-os demo --json

The .tgz is built locally from the checked-out source and should be reviewed before installation. On Windows, use PowerShell with the same commands (or replace ./ with .\\). The archive-install path is verified on Windows with an isolated npm prefix. The project is not claiming publication on the npm registry.

Do not use `npm install -g github:RecepioHQ/outbound-os` as a recommended path: on one verified Windows/npm 10 installation it produced a dangling junction into npm's temporary Git clone. The packed archive avoids that observed issue.

The demo uses reserved example domains, a mock mailbox and a dry-run transport: no real emails are sent. For real operations, follow provider configuration and security requirements. The start, check and send commands still invoke the existing state, verification and hard-gate code; installing the CLI grants no permission to bypass them.

60-second demo

Compare a permitted dry run with a blocked attempt

The comparison uses real gate evaluation against synthetic fixtures and mock transports. One message satisfies the checks, while a second message has an unknown mailbox verification result and must be blocked before the transport is called.

# In a checkout of the latest source:

npm ci node bin/outbound-os.js demo --compare

The output includes allowed.send_decision=PASS, blocked.send_decision=BLOCK, a reason from the mailbox_verification gate, and blocked.transport_calls=0. These are synthetic checks, not claims that any real mailbox was verified or any live email was sent.

Requirements: Node.js 22+.

npm install

npm test npm run demo

The demo is entirely synthetic and makes no network calls. It walks through:

Synthetic buyer

↓ Buyer Selection → READY ↓ Verified evidence + mailbox + dedupe + review gates ↓ Dry-run send → SIMULATED (not a live send) ↓ Synthetic human reply ↓ Cold eligibility stops ↓ Deal Mode → engaged

Example output:

{

"buyer_state": "READY", "send_decision": "PASS", "transport_status": "simulated", "live_sent": false, "cold_eligible_after_reply": false, "deal_stage": "engaged" }

Architecture

flowchart TD

A[Operator: CLI or ChatGPT/MCP] --> B{Intent} B -->|Start| C[Task / Skill Router] B -->|Check| D[Mailbox Reconciliation] B -->|Send| E[Hard Gate Engine]

C --> F[Buyer Research] F --> G[Buyer Selection] G --> H[(Persistent State + Event Ledger)]

D --> I[Reply / Delivery Classifier] I --> H I -->|Verified human reply| J[Deal Mode] J --> H

E --> K[Evidence + Contact Route] K --> L[Mailbox Verification] L --> M[Dedupe] M --> N[Factual Preflight] N --> O[Commercial Review] O --> P[Deliverability / Rate / Cap] P --> Q[Authorization + Approval Hash] Q -->|PASS| R[Transport] R -->|default| S[Dry Run] R -->|explicit live opt-in| T[Zoho Adapter]

The model can recommend work, but it cannot override the mechanical gate engine beneath it.

Buyer Selection

The public engine evaluates four evidence-backed dimensions:

  • Strategic fit — is there a credible reason the organization should care?
  • Commercial-capacity evidence — is there attributable evidence that outreach is commercially justified?
  • Decision access — is there a credible route to an appropriate decision maker or official channel?
  • Trigger / timing evidence — is there a reason the outreach is timely?

Evidence is explicitly classified as VERIFIED, INFERRED, or UNKNOWN.

UNKNOWN never becomes a positive score just because the system needs more volume.

Results are READY, HOLD, or SKIP, with inspectable reasons.

See docs/buyer-selection.md.

Hard gates

The default send chain is fail-closed:

GateFailure behavior
Buyer SelectionHOLD / BLOCK
Evidence qualityBLOCK
Contact routeBLOCK
Mailbox verificationBLOCK
Organization/contact dedupeBLOCK
Factual personalizationBLOCK
PreflightBLOCK
Commercial reviewBLOCK
Deliverability healthBLOCK
Rate / volume capBLOCK
Explicit authorizationHOLD
Exact approval hashBLOCK

Strict mailbox verification passes only valid. invalid, catch_all, unknown, and error are blocked by default.

Changing the recipient, subject, plain-text body, or HTML after approval invalidates the approval hash.

See docs/hard-gates.md.

Persistent state — not chat memory

Operational state lives outside the conversation:

  • append-only JSONL lifecycle ledger;
  • derived JSON state projection written atomically;
  • organization-level and contact-level dedupe;
  • persistent Deal Mode state after a human reply.

By default runtime state is stored under state/, which is excluded from Git. You can override it with OUTBOUND_OS_DATA_DIR.

A new ChatGPT/MCP session can reload the same state instead of reconstructing a deal from conversational memory.

See docs/state-and-ledger.md.

Deal Mode

A verified human reply removes the organization from cold eligibility and creates or updates a deal record containing fields such as:

  • latest human reply;
  • stage;
  • verified facts;
  • inferred context;
  • unknowns;
  • objections;
  • pricing context;
  • commitments;
  • next justified action.

Time alone does not advance a deal stage.

See docs/deal-mode.md.

Skills

The repository separates task discipline instead of relying on one catch-all prompt:

  • buyer-research — attributable evidence, no invented authority/budget/intent;
  • cold-outreach — verified facts plus all outbound gates;
  • delivery-recovery — permanent-vs-temporary delivery handling;
  • engaged-deal — human-reply workflow and deal context.

The skills guide behavior. They do not bypass the mechanical rules in code.

Zoho Mail adapter

Outbound OS includes a public-safe Zoho Mail adapter built against documented Zoho APIs.

It supports:

  • OAuth refresh-token exchange;
  • mailbox reads with limited retry on clearly transient read failures;
  • conservative normalization of known-contact human replies, common auto-replies, permanent delivery failures, and temporary delays;
  • exact approved-message sending;
  • no blind retry after an ambiguous send mutation;
  • post-send reconciliation by returned message ID.

Unmatched inbox mail is ignored rather than being promoted into a deal.

Live sending is disabled unless all required provider configuration is present and:

OUTBOUND_OS_LIVE_SEND=1

See .env.example and docs/provider-adapters.md.

ChatGPT / MCP

The optional chatgpt/ package exposes the same three intents as MCP tools:

  • start
  • check
  • send

The MCP server binds to 127.0.0.1 by default. That is intentional: mailbox reads expose private data, and sending email c

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

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