Prototipo · Versión preliminar: todos los servidores del registro oficial, sincronizados cada 30 minutos. Las reseñas y las cuentas llegarán en una etapa posterior.
PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

FetchSandbox

de fetchsandboxversión 0.7.30i★ –iComputadora o nube
Nombre en el registroio.github.fetchsandbox/mcp

Instalar

Resumen

Descripción del creador (original en inglés)

A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.

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: Computadora o nube
  • Transporte: stdio, Streamable HTTP
  • Categoría: Otros
  • Debes completar: FETCHSANDBOX_API_KEY

Instalación

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

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en el servidor del creador: lo que le pidas pasa por su servidor.
  • Debes completar tú: FETCHSANDBOX_API_KEY, FETCHSANDBOX_TELEMETRY, FETCHSANDBOX_BASE_URL

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

¿Qué app usas?

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

Funciona en Claude para web, escritorio y móvil:

  1. Abre Settings → Connectors
  2. Presiona Add custom connector
  3. Pega la dirección de abajo y presiona Add
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Add2https://…3
https://fetchsandbox.com/mcp/v1

O ejecútalo en tu computadora

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

{
  "mcpServers": {
    "fetchsandbox": {
      "command": "npx",
      "args": [
        "-y",
        "fetchsandbox-mcp"
      ],
      "env": {
        "FETCHSANDBOX_API_KEY": "your-value",
        "FETCHSANDBOX_TELEMETRY": "your-value",
        "FETCHSANDBOX_BASE_URL": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add --transport http fetchsandbox https://fetchsandbox.com/mcp/v1

O ejecútalo en tu computadora

claude mcp add fetchsandbox --env FETCHSANDBOX_API_KEY=your-value --env FETCHSANDBOX_TELEMETRY=your-value --env FETCHSANDBOX_BASE_URL=your-value -- npx -y fetchsandbox-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "fetchsandbox": {
      "url": "https://fetchsandbox.com/mcp/v1"
    }
  }
}

O ejecútalo en tu computadora

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "fetchsandbox": {
      "command": "npx",
      "args": [
        "-y",
        "fetchsandbox-mcp"
      ],
      "env": {
        "FETCHSANDBOX_API_KEY": "your-value",
        "FETCHSANDBOX_TELEMETRY": "your-value",
        "FETCHSANDBOX_BASE_URL": "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "fetchsandbox": {
      "type": "http",
      "url": "https://fetchsandbox.com/mcp/v1"
    }
  }
}

O ejecútalo en tu computadora

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "fetchsandbox": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "fetchsandbox-mcp"
      ],
      "env": {
        "FETCHSANDBOX_API_KEY": "your-value",
        "FETCHSANDBOX_TELEMETRY": "your-value",
        "FETCHSANDBOX_BASE_URL": "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.

ChatGPT solo se conecta a servidores en internet:

  1. Abre ChatGPT en la web → Settings → Connectors (Apps)
  2. Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
  3. Pega la dirección de abajo, ponle un nombre y guarda
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Create2https://…3
https://fetchsandbox.com/mcp/v1

Los nombres de los menús pueden variar un poco según el plan y con el tiempo.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • FETCHSANDBOX_API_KEY secreto env
    Sign in using an account API key. Discovery is available anonymously; application planning, verification and managed local tunnels require authentication.
  • FETCHSANDBOX_TELEMETRY env
    Set to '0' to disable anonymous usage telemetry.
  • FETCHSANDBOX_BASE_URL env
    Override the FetchSandbox backend base URL (defaults to https://fetchsandbox.com). Useful for stage/self-hosted testing.

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

Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.

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 fetchsandbox, 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

  • … Aún sin revisar

    El endpoint responde

    Aún sin revisar; revisamos los endpoints por turnos

  • … Aún sin revisar

    Inicio de sesión con OAuth

    Aún sin revisar; revisamos los endpoints por turnos

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32505 servidores de esta categoría
  • Publicado en el registro más recientemente que el 67% de los otros 32505 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32505 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 FetchSandbox?

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?

Debes completar: FETCHSANDBOX_API_KEY

¿Se ejecuta en mi computadora o en la nube?

Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.7.30) llegó al registro hace 18 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, topo^alpin

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

topo^alpin

de topoalpin.app

Avalanche bulletins and mountain weather forecasts for any place in the Alps.

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.

fetchsandbox-mcp

Also on Smithery, npm and the official MCP registry.

A deterministic verification engine for agents, as an MCP server for FetchSandbox.

Your agent writes an integration. This checks whether it actually works — against a sandbox that behaves like the real provider, including the failures: retried webhooks, declined cards, rate limits, auth errors.

When it finds a bug, it can propose a fix and then prove it: the same failure is run against your code before and after the diff. Green only if it reproduced first and stopped after. You get a receipt URL either way.

Install

The MCP server runs locally through Node.js. Clients can resolve npx differently; Cursor on Mac may need the full path from command -v npx.

{

"mcpServers": { "fetchsandbox": { "command": "npx", "args": ["-y", "fetchsandbox-mcp@latest"], "env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" } } } }

Discovery and reference tools are available without a key. Application planning, verification and managed local tunnelling require sign-in or an API key from https://fetchsandbox.com/keys. See Accounts.

ClientFile
Claude Code.mcp.json in your project root, or claude mcp add
Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.json
Cursor~/.cursor/mcp.json, or .cursor/mcp.json in the repo
Zed~/.config/zed/settings.json, under context_servers
Codex~/.codex/config.toml, as [mcp_servers.fetchsandbox]
Cursor on Mac: tested setup

Get a real account key from https://fetchsandbox.com/keys. Run command -v npx and use that full path in ~/.cursor/mcp.json. This example is for Homebrew on Apple Silicon; replace the path if yours differs. On Windows, use where.exe npx to locate your installed command.

{

"mcpServers": { "fetchsandbox": { "command": "/opt/homebrew/bin/npx", "args": ["-y", "fetchsandbox-mcp@0.7.24"], "env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" } } } }

Replace fsk_your_key_here privately with the real raw key, without a Bearer prefix. The placeholder cannot authenticate. Check for a second FetchSandbox entry in .cursor/mcp.json in your project. Fully quit and reopen Cursor after saving; a window reload may retain the old MCP process. Enable the server if needed and confirm its tools load. A green connection alone does not prove that an application verification call is authenticated.

Restart the client afterwards. Anything else that speaks MCP takes the same command and args.

No terminal? Use the hosted endpoint

Browser-based builders — Lovable, Bolt, v0 — can't run npx. They connect straight to the hosted streamable-HTTP transport instead:

https://fetchsandbox.com/mcp/v1

Authenticate with a Bearer token, not "None" — paste the key from https://fetchsandbox.com/keys.

Same twins, same scenarios, seven tools: validate_integration, quickrun, run_workflow, verify_behavior, list_workflows, guide, coach.

The rest are not hidden — they cannot work there. find_bugs, fix_bug and prove_fix read your project from disk and a hosted server has no copy of it, so advertising them only produced sessions that dead-ended. To analyse your own code, run npx fetchsandbox-mcp locally in the project you want looked at.

Start with validate_integration. A green quickrun proves the provider behaves as documented; it does not touch your checkout endpoint, your webhook handler, or your email send. validate_integration hands you a fresh twin per provider and then reports what your code actually called.

Using it

Describe the problem the way you'd describe it to a colleague. You don't need to name a tool.

Customers are reporting more seats than they bought after a Paddle payment.

Can you find out why?

The agent works through: route the symptom, reproduce it against the provider sandbox, read your code, get a fix, prove the fix on your code. Each step hands back what the next one needs.

One thing worth knowing, because it's easy to get backwards: prove_fix needs the unfixed tree. Run it before you write the diff to disk, or there's no bug left to reproduce and no proof to be had.

Accounts

You don't need one to start. Install it, ask a question, and everything runs.

The first time a run produces something worth keeping — a receipt, or a set of findings — you'll get a short code and a link. Signing in takes about twenty seconds and does two things: the evidence behind your receipts stops being archived after 15 days, and the runs from that machine collect in one place. You'll be asked at most once a day, and never once you're signed in.

For CI, the hosted endpoint, or anywhere a browser isn't available, set a key instead. Create one at https://fetchsandbox.com/keys — sign in, then "Create a key". It looks like fsk_....

In an MCP client config, it goes in env:

"env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" }

In a shell or CI:

export FETCHSANDBOX_API_KEY=fsk_your_key_here

On the hosted endpoint, send it as Authorization: Bearer fsk_....

The key is also written to ~/.fetchsandbox/credentials.json when you sign in from an editor; the environment variable always wins.

Tools

Start with guide. It picks the right ones for what you asked.

Finding and fixing

ToolWhat it doesArguments
guideRoutes a symptom to a spec, workflow and known failure classintent*, hints
find_bugsAudits your project against known integration failure classes. No git remote needed — it reads the directory you point it atpath, spec, timeout_s
fix_bugReturns a git diff for one finding. Doesn't touch your filesbug*, fix_pattern, path, spec, timeout_s
get_jobRetrieve the same running job without starting another analysis or proofjob_id*
prove_fixRuns the failure against your code before and after the diff. Green only on a measured flipdiff*, bug, scenario, sandbox_id, path, timeout_s

Verifying an integration

ToolWhat it doesArguments
validate_integrationProves your own code against a provider, not that our twin works. Hands back a fresh twin per provider, then reads our request log to report what your app actually calledproviders, app_base_url, session_id
quickrunRuns one of OUR curated workflows against a bundled spec. Green here says the provider behaves as documented — it says nothing about your integrationspec_slug*, workflow_name*, scenario
run_workflowThe same, on a sandbox you already have — this is where you re-run with a scenario armedsandbox_id*, workflow_name*, scenario
verify_behaviorShows a failure class on reference handlers — buggy vs fixed. Not your codebug_pattern_id*, prompt, sandbox_id, flow_run_id
list_workflowsWorkflows AND the failure scenarios a spec can inject, in one answerspec_slug or spec_id
guideRoutes a symptom to the provider behaviour that explains it, and returns the next call with its arguments filled inintent*, hints
coachMulti-turn help building an integrationintent, session_id, user_response, context

Those seven are the whole of what a browser-based builder sees, and they are the only ones that need no filesystem. Everything below requires a local project.

On a machine with your code

ToolWhat it doesArguments
find_bugsAudits your project against known integration failure classespath, spec, timeout_s
fix_bugReturns a git diff for one finding. Doesn't touch your filesbug*, fix_pattern, path, spec, timeout_s
get_jobRetrieve the same running job without starting another analysis or proofjob_id*
prove_fixRuns the failure against your code before and after the diff. Green only on a measured flipdiff*, bug, scenario, sandbox_id, path, timeout_s
run_all_workflowsRuns several workflows in one callsandbox_id*, workflow_names
list_scenariosThe failures a spec can injectsandbox_id*
set_scenarioArms a failure on a sandboxsandbox_id*, scenario*
list_runsPast runs for a sandboxsandbox_id*, limit
list_specsSpecs already availablefilter
submit_proofPublishes a receipt for a runsandbox_id, flow_run_id, bug_pattern_id, summary, proofs

* = required.

What leaves your machine

find_bugs, fix_bug and prove_fix package the directory you point them at and upload it for analysis. Worth saying plainly, because the previous wording here implied the opposite.

Excluded before packing: .git, node_modules and build output, agent instruction files, and anything credential-shaped — .env*, *.pem, *.key, id_rsa*, *.tfstate, .npmrc, .aws, .ssh, .mcp.json, .mcp.*.json, mcp.json, and more.

Then the archive is read back and refused if it still contains something shaped like a live credential, wherever it lives and whatever it is called. A key in config/local.yml stops the upload and names the file. Patterns only cover what someone thought of; the scan is there for the rest.

If you would rather nothing left at all, the analysis needs the source today. That is the honest state.

Long-running work

The MCP response waits briefly, then returns status: running, its job_id, and a next_tool_call for get_job. Follow that call until status: done or error. It reads the existing backend job; it does not upload the project again or start another proof. Keep the original tree unchanged while the proof runs. A running job does not establish a pass.

This applies to discovery, proposed fixes, application proofs, and async reference verification. Direct library calls keep their blocking behavior. Job retention and ownership still belong to the existing backend. This change does not make its in-memory job tracker survive a backend restart.

Receipts are public to anyone holding the link

submit_proof attaches the real requests and responses from your app's before/after run to the receipt page, so the receipt shows your code's own behaviour. That page is served without a login — that is the point of it, you drop the link in a PR — which means the bodies on it are readable by anyone who has the link.

Provider execution can use a FetchSandbox twin or a recording test double; read the receipt's execution scope. A recording double does not establish twin or live-provider fidelity. But the request bodies are the ones your app built, and those can carry values from your config. Look at a receipt before you share it.

Configuration

Env varDefaultPurpose
FETCHSANDBOX_API_KEYnoneSign in without a browser. Overrides the stored credentials
FETCHSANDBOX_BASE_URLhttps://fetchsandbox.comPoint at a different backend
FETCHSANDBOX_TELEMETRYonSet to 0 to turn off

Telemetry records an opaque per-machine id (a random UUID in ~/.fetchsandbox/session.json), the tool name, latency, and whether the call succeeded. Not

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

Pregunta a PopNx