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

Approval Gate MCP

de itcustomsolutionversión 0.4.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.itcustomsolution/approval-gate-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

Fail-closed human approval gates for AI agent actions. Default-deny, TTL expiry, audit log.

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": {
    "approval-gate": {
      "command": "npx",
      "args": [
        "-y",
        "@itcustomsolution/approval-gate-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add approval-gate -- npx -y @itcustomsolution/approval-gate-mcp

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "approval-gate": {
      "command": "npx",
      "args": [
        "-y",
        "@itcustomsolution/approval-gate-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": {
    "approval-gate": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@itcustomsolution/approval-gate-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 itcustomsolution, 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 32455 servidores de esta categoría
  • Publicado en el registro más recientemente que el 83% de los otros 32455 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32455 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 Approval Gate MCP?

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 (0.4.1) llegó al registro hace 7 días.

¿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, SSTracker free youth training

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

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.

approval-gate-mcp

An MCP server and library for requesting a human decision before a consequential agent action. Approvals expire, are single-use and can bind an operation to an exact payload.

The trusted executor must enforce the approval. Installing an MCP server does not prevent an agent from using another tool, and the gate is not a security boundary against processes with the same OS-user privileges. Read the trusted execution boundary and threat model before integration.

Release and verification

As of 31 October 2026, v0.4.1 on GitHub and 0.4.1 on npm are published. Source changes, GitHub releases and registry publication are separate states; these links identify the released version.

Requires Node.js 22+. See the MIT license, changelog and test suite. The 0.4.1 release notes describe the shipped changes. Tests apply to the revision and environment where they ran; they do not establish production certification. The quickstart below pins the published package; run npm test for your own checkout.

Why

Sending, deleting, publishing, spending and deploying need a decision tied to the actual operation. A general instruction to "ask first" leaves the executor to interpret an informal conversation. This project records a specific request, a human decision, an expiry and a single-use consume step that trusted execution code can enforce.

Use it when you control that execution boundary. If an agent can bypass it through a shell, another tool or direct file access, adding this server alone cannot enforce approval.

30-second quickstart

claude mcp add approval-gate -- npx -y @itcustomsolution/approval-gate-mcp@0.4.1

Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "approval-gate": { "command": "npx", "args": ["-y", "@itcustomsolution/approval-gate-mcp@0.4.1"] } } }

Approve or deny from your terminal with npx -p @itcustomsolution/approval-gate-mcp@0.4.1 approval-gate list.

Example

  1. Your agent wants to email a customer. It calls request_approval with action: "send email to alice@example.com, subject: Invoice 1042" and gets back id a1b2c3d4e5f6.
  2. It calls wait_for_approval. Nothing is sent.
  3. In your own terminal: approval-gate list, then approval-gate approve a1b2c3d4e5f6 looks right.
  4. The agent can observe approved, but that status does not authorize sending. The trusted executor calls executeApproved for that id and the exact action (plus operation/payload binding, if present) immediately around its send function. See Trusted execution boundary. It must not accept an agent-supplied or MCP JSON result as proof. Denial, timeout or expiry prevents a successful consume.
  5. ~/.approval-gate/audit.jsonl now has the request and your decision.

Design principles

  • Fail closed. The only thing that authorizes an action is a successful consume: consume_approval returning ok: true (once, for the exact approved action), or executeApproved in trusted code. Pending, approved-but-not-consumed, denied, expired, timeout, error: none of those is an authorization; all of them mean no.
  • The gate never executes anything. It records intent and decisions. Your agent asks first, then acts only on approval. Separation of decision and execution keeps the gate simple and auditable.
  • Decisions are out-of-band. A human approves or denies with a CLI in their own terminal, not inside the agent's context. The MCP tools cannot approve. The CLI asks for an interactive terminal and a re-typed confirmation, which is a speed bump, not authentication: anything running as your OS user (a shell, a PTY, or file access) can still get past it. See Threat model.
  • Only a consume authorizes. status: "approved" is informational. Status responses carry authorizesExecution: false and an effectiveStatus (approved_unconsumed, approved_expired, consumed, revoked, ...). Trusted code that performs the side effect should call executeApproved (see Trusted execution boundary), which consumes the approval itself. A consume result that arrived over MCP, from a file or from an agent is never proof of approval, however well-formed.
  • Everything is audited. Every request, decision, expiry, and consumption is appended to ~/.approval-gate/audit.jsonl (an append-only convention, not a tamper-proof log).
  • Requests expire. Default TTL is 1 hour; a stale approval is not an approval.
  • Approvals are single-use and bound to the action. consume_approval succeeds once, only for the exact action text that was approved (and, if the request carried them, the same operation name and the same canonical JSON payload), and only if the clock read after all of its persistence is still at or before the request's expiry.

Install

Requires Node.js 22 or later (Node 18 and 20 are past end of life; the MCP SDK's @hono/node-server dependency needs Node 20+).

From npm:

npm install -g @itcustomsolution/approval-gate-mcp@0.4.1   # installs `approval-gate` and `approval-gate-mcp`

From source:

git clone --branch v0.4.1 --depth 1 https://github.com/itcustomsolution/approval-gate-mcp.git

cd approval-gate-mcp npm ci --ignore-scripts npm test # builds the source and runs the tests node dist/cli.js list

Wire it into an MCP client

Claude Code:

claude mcp add approval-gate -- node /path/to/approval-gate-mcp/dist/index.js

Or in any MCP client config:

{

"mcpServers": { "approval-gate": { "command": "node", "args": ["/path/to/approval-gate-mcp/dist/index.js"] } } }

Tools

ToolPurpose
request_approvalRegister an intended action (action, reason, optional ttl_seconds, optional operation and JSON payload to bind). Returns an id (and payloadDigest).
check_approvalPoll a request's status: pending / approved / denied / expired.
wait_for_approvalBlock up to timeout_seconds for a decision. Timeout = still pending = not approved.
list_pendingList requests awaiting a human, oldest first, one page at a time (limit 1-100, default 50; pass nextCursor back as cursor).
consume_approvalCall right before acting. Succeeds once, only if approved, unexpired, and action (plus operation/payload, if the request had them) matches exactly. Anything else: do not proceed. Its JSON result is not a transferable credential.
decide_approvalDeny a pending request, or revoke an approved one that has not been consumed. Approving through MCP is refused by default, so an agent cannot approve its own request; approvals come from the CLI. Operators can opt in with APPROVAL_GATE_ALLOW_MCP_APPROVE=1 (not recommended).

The human side

approval-gate list                # pending requests

approval-gate show a1b2c3d4e5f6 approval-gate approve a1b2c3d4e5f6 looks right, ship it approval-gate deny a1b2c3d4e5f6 wrong recipient approval-gate revoke a1b2c3d4e5f6 changed my mind # approved but not yet consumed approval-gate list approved --limit 20 --after a1b2c3d4e5f6 # page through history approval-gate archive --older-than-days 30 # retention: move finished requests aside

show and the approve confirmation print the operation and the full canonical payload (escaped) when a request binds one: that is exactly what an executor will be allowed to run.

Suggested agent policy

Put something like this in your agent's system prompt or policy file:

Before any outbound or destructive action (send, publish, delete, purchase, deploy),

call request_approval and then wait_for_approval. When it returns approved, call

consume_approval with the same id and exact action text, and proceed only if it returns

ok: true. Never call decide_approval for your own requests.

Trusted execution boundary

When your own code (not the agent) performs the side effect, let the gate consume the approval at that boundary and run exactly the approved payload:

import { executeApproved } from "@itcustomsolution/approval-gate-mcp/dist/store.js";

// id comes from the agent; the action, operation and payload are what your code is about to run. await executeApproved(id, { action, operation: "smtp.send", payload: { to, subject, body } }, async (ctx) => { ctx.assertActive(); // re-check expiry immediately before the side effect await smtp.send(ctx.payload); // ctx.payload is a frozen copy of what the human approved });

executeApproved accepts no receipt. It performs the single-use consume itself (binding to the action text, and to the operation and payload if the request carried them), writes an execution_started audit line (fsync), checks expiry again, and only then calls your function. If the start record cannot be written, or the approval expired during that write, nothing runs. Call ctx.assertActive() again after any await that precedes the side effect.

assertConsumed(result, id, action, binding?) remains for code that calls consumeApproval itself: it accepts only a grant object issued by consumeApproval in the same process, once, for the same id/action/binding, before expiry. A copy, a JSON round trip (an MCP response, a file, an agent message) or a hand-built object is always refused. 0.3.0 accepted any well-shaped object; see the changelog.

Crash and replay semantics. Consumption is at-most-once: once .used is claimed the approval is spent, whatever happens next, including refusals after the claim (expired during persistence, audit failure). A crash after execution_started and before execution_finished means the outcome is unknown: inspect the external system and, if needed, create and approve a new request. Nothing is retried automatically, and there is no atomic guarantee between this gate's files and the external system your callback touches. Details: docs/authorization-states.md.

Limits

LimitValue
action, reason, decision reason8192 UTF-8 bytes each
requested_by256 bytes (self-reported, never authenticated)
operation1-128 of A-Z a-z 0-9 . _ : / -
payloadJSON only; 32 KiB canonical (RFC 8785), depth 32, 10000 values; no "__proto__" key
TTLMCP: integer 10 s to 7 days; library: any finite number up to 7 days (zero or negative gives an already-expired request)
Requests awaiting a decisionAPPROVAL_GATE_MAX_PENDING, default 100, 1 to 10000. Concurrent creators can overshoot by at most their own number. Invalid values fail closed.
List page1-100 (default 50)
State directoryNew requests are refused at 100,000 entries in requests/; listing refuses above 200,000. Reading, deciding, consuming and archive work at any size.

When the queue is full, request_approval fails with approval queue full until a human decides requests or they expire. Finished requests stay on disk until you run approval-gate archive, which moves only finished requests that were created and expired at least 8 days ago, so nothing archived can still be used. An MCP client can create and deny its own requests without a human, so it can fill requests/ up to the creation limit; that blocks new requests (an availability limit, like the queue cap), never a human's decisions. Each listing page reads every request file, so listing slows down as history grows until you archive. Paginated listing streams directory entries

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

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