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

Stateark

de Askrionversión 0.5.3i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Askrion/stateark

Instalar

Resumen

Descripción del creador (original en inglés)

Local-first version control for AI work. Savepoint and resume your project state across chats.

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": {
    "stateark": {
      "command": "npx",
      "args": [
        "-y",
        "stateark"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add stateark -- npx -y stateark

Abrir en Cursor

O copia la configuración tú

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

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

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": {
    "stateark": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "stateark"
      ]
    }
  }
}

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 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub Askrion, 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 32602 servidores de esta categoría
  • Publicado en el registro más recientemente que el 30% de los otros 32602 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32602 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 Stateark?

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 (0.5.3) llegó al registro hace 2 meses.

¿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, Rystic

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 anteayer
Instalar

Rystic

de Rystic-Inc

Start, seed, clock, inspect and diff Rystic API simulators from your agent.

Se ejecuta en tu computadoraActualizado 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.

StateArk

Never explain your project to an AI twice.

Your chat is a workspace, not an archive. StateArk turns a working session into a versioned, portable project state that any new chat can pick up. Open terminal and write:

npx stateark

Then quit Claude Desktop completely (Cmd+Q) and reopen it. That is the whole install.

*(Prefer to install from source? npm install && npm run build && npm run setup — see INSTALL.md. Undo any time with npx stateark remove.)*

Here what we had in mind developing stateark - we address a problem millions of users have...

You:  ...three hours of work...

You: Savepoint -> my-project v0.3 written to ~/StateArk

(next day, new chat, empty context)

You: Resume my-project -> decisions, constraints, rejected approaches, open questions, and the actual files - all current, none of the detours

Local by default. Savepoints are ordinary folders of Markdown, JSON and your real files. Nothing is uploaded. If StateArk disappears tomorrow, you still have everything.

~/StateArk/projects/my-project/v0.3/

state.md <- the canonical state, readable in any editor state.json manifest.json <- every artifact with its SHA-256 artifacts/ app.py schema.sql

Commands

In the chatWhat happens
Savepointconsolidate the session into a new version
Resume load the latest state into a fresh chat
History list the versions
Diff what actually changed between two savepoints
In the terminal
npx statearkregister with Claude Desktop
npx stateark reportanonymised local usage summary, printed for you only
npx stateark removeunregister; savepoints are kept

What makes it more than a summary

  • Carry-forward. Files you do not re-submit are copied into the new version with their original hash, so a forgetful model cannot silently lose your schema.
  • Integrity checks. StateArk cannot see your chat - so it checks what it *can*: truncation markers (// ... rest unchanged), files that collapsed in size, files the state describes but never handed over, savepoints identical to their predecessor. It warns, it never blocks: the savepoint is always written.
  • Journal. Between savepoints the model quietly records turning points, so a Savepoint at the end of a long session does not depend on a degraded context. Only for projects you already saved once - scratch conversations are never touched.

Requirements

Node 20+. Claude Desktop, or Claude Code (claude mcp add --transport http ...). It also runs under other local MCP hosts — users have it working with Codex and Hermes against the same store.

Hosted clients that dial your server from the vendor's cloud (Claude web, ChatGPT web) cannot reach localhost. See INSTALL.md.

Several agents at once

Supported, and worth saying plainly because it is the setup that broke first. Writes to a project are serialised across processes, so two agents cannot claim the same version number. If a savepoint reports that another process is busy, repeat it in a moment — nothing is lost. A process that dies mid-write releases its lock automatically.

If your store lives in Dropbox, OneDrive or iCloud Drive: several agents on one machine are fine. Two machines writing the same store simultaneously is a sync conflict, which the sync client resolves and StateArk cannot.

VariableDefault
STATEARK_LOCK_WAIT_MS60000how long to wait for another process before giving up
STATEARK_LOCK_STALE_MS120000when a lock is assumed to belong to a dead process
STATEARK_FS_RETRIES6retries when a sync client holds a file open

Licence

Elastic License 2.0. Use it for anything including commercially, read and modify the source, share the package. You may not offer it to third parties as a hosted or managed service. Your savepoints are yours and are not covered by this licence.


Architecture

ChatGPT / Claude / Gemini-capable MCP client

| v StateArk Local Agent <- 127.0.0.1 only, by default | v ~/StateArk/projects <- SOURCE OF TRUTH | | optional v Supabase <- mirror / backup / transport

A Savepoint is an ordinary directory, not a proprietary database:

StateArk/projects/my-project/

journal.ndjson # entries recorded since the last savepoint project.json # index (self-healing: rebuilt from disk if corrupt) v0.3/ state.md # human- and LLM-readable canonical state + integrity warnings state.json # the same state, structured meta.json # version, lineage, platform, sync status, warnings manifest.json # artifacts with SHA-256, stored/pending, carried_forward_from journal.ndjson # the entries this savepoint consolidated artifacts/ app.py schema.sql prototype.zip

If StateArk disappears, those files remain usable.

Install

Requires Node 20+.

npm install

npm run typecheck npm test # 97 checks against a throwaway store — run this first npm start

No .env is needed for local-only mode. Copy .env.example to .env only if you want to change the port, the store location, or enable the Supabase mirror.

On first run StateArk generates a random access key and stores it in ~/StateArk/.access-key (mode 0600). The startup banner prints your endpoints:

MCP:         http://localhost:8787/mcp/<key>

Upload page: http://localhost:8787/upload/ Health: http://localhost:8787/health

Security model

The HTTP entrypoint is a local server on your own machine, so StateArk assumes any web page you visit is hostile:

ControlDefault
Bind address127.0.0.1 (STATEARK_BIND to change)
Access keyrandom per install, in /.access-key, constant-time compared
Origin headerloopback only, plus STATEARK_ALLOWED_ORIGINS
Host headerloopback only, plus STATEARK_ALLOWED_HOSTS (DNS-rebinding guard)
CORSechoes the validated origin, never *
Upload formsingle-use CSRF token, capped body size
Non-loopback bindrefuses to start unless the access key is ≥ 24 chars

Before exposing the agent over HTTPS: set a long STATEARK_ACCESS_KEY, set STATEARK_ALLOWED_HOSTS to your tunnel hostname, and put a real reverse proxy in front.

Platform reality

Local-first and hosted LLMs are different networking environments. Claude Desktop/Code and other local MCP clients can talk to the local agent directly. A hosted ChatGPT/Gemini client generally cannot reach localhost on your computer. For those you would need a secure HTTPS route to your running local agent — remote access is on the roadmap and does not exist yet.

If you are setting this up, in this order:

  1. run StateArk locally;
  2. test Savepoint and Resume from a local MCP client;
  3. enable Supabase sync only if you actually want a mirror;
  4. expose the agent over HTTPS only after the three steps above work.

Local-only mode — the default

Leave SUPABASE_URL, SUPABASE_SECRET_KEY and STATEARK_OWNER_ID unset. Cloud sync stays off and files never leave the machine. Default store: ~/StateArk (override with STATEARK_LOCAL_ROOT).

This is what you get out of the box. The Supabase section below is opt-in.

Local + Supabase sync

Run the migrations in the Supabase SQL editor, in order:

  1. supabase/migrations/001_stateark.sql
  2. supabase/migrations/002_artifacts.sql
  3. supabase/migrations/003_hardening.sql

Then set SUPABASE_URL, SUPABASE_SECRET_KEY (server-side Secret key, never a publishable key), STATEARK_OWNER_ID, and STATEARK_STORAGE_BUCKET.

Cloud is a mirror, not the master:

  • the local savepoint is committed first and a cloud failure cannot invalidate it;
  • cloud deletion does not delete local data;
  • sync status lives in meta.json (disabled / pending / synced / failed);
  • retry a failed push with the sync_savepoint tool.

Text/code artifacts up to 2 MB are mirrored inline in Postgres; everything else goes to the private Storage bucket. The mirror is not end-to-end encrypted — the Supabase project can read what it stores. Sync is off by default for exactly that reason; turn it on only for a project you would be comfortable putting in any hosted database.

Savepoint behaviour

When you say Savepoint, the host LLM should:

  • reconstruct the latest valid state rather than summarise chronology;
  • retain governing decisions, requirements and constraints;
  • keep rejected approaches only when the reason matters;
  • send exact text/code as transfer=text;
  • send binary bytes as transfer=base64 only when truly available;
  • otherwise mark the artifact transfer=pending instead of fabricating it;
  • omit files that have not changed — they are carried forward automatically;
  • never abbreviate a file with ... rest unchanged.

Local creation is atomic: StateArk writes a temporary bundle and renames it only when complete. Artifact names are sanitised; if a name had to be changed, manifest.json records the original under original_name.

Integrity checks

Every savepoint is compared against its predecessor. Findings are returned in the tool result and rendered at the top of state.md. The savepoint is always written — a check never costs you work, it only tells the model to come clean.

CodeMeaning
artifact_carried_forwardfile was not re-submitted and not declared deleted, so it was copied from the previous version
artifact_became_pendingcontent that was stored is now only pending
artifact_shrankfile collapsed to under 50% of its previous size
truncation_markerstored text contains ... rest unchanged, [...], … gekürzt and similar
no_changethis savepoint is identical to the previous one
journal_not_reflecteddecisions were journalled but the submitted state lists none
artifacts_mentioned_but_missingthe state text names a file (schema.sql, app.py, …) that was never handed over as an artifact

The last one is the check that matters most in practice. StateArk cannot read your chat, so a filename appearing in the prose is the only available clue that the model *described* a file instead of preserving it. The warning is phrased as a question, because a named file may legitimately be planned or live outside the conversation.

Journal

note_event records one short line per turning point, silently, and only for projects that already exist in StateArk. Untracked projects return tracked: false and nothing is written — that is the filter that keeps scratch conversations out.

At the next Savepoint the journal is consolidated into the new version and cleared. It is never cleared before the savepoint is durably on disk.

Inspect pending entries with the journal tool. Nudging is based on entry count (STATEARK_JOURNAL_NUDGE_AT, default 20), never on a timer.

Diff

diff_savepoints with no version arguments compares the latest savepoint against its predecessor: LCS line diff on the text fields, set diff on the lists, SHA-256 comparison on the artifacts, plus an attention block for anything that looks like silent loss.

Artifacts

Every stored artifact has a SHA-256. Pending files are explicit in manifest.json and in the resume_project output, so the LLM cannot quietly pretend a file exists.

If a binary cannot travel through MCP, open the local upload page printed at startup and attach it to the existing project/version. This resolves the pending manifest entry.

Resume

`Resume My Projec

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

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