Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Local-first version control for AI work. Savepoint and resume your project state across chats.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
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": {
"stateark": {
"command": "npx",
"args": [
"-y",
"stateark"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add stateark -- npx -y statearkPégalo 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.
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.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Askrion, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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).
El repo de GitHub cambió por última vez –, y la última versión (0.5.3) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Rystic
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Start, seed, clock, inspect and diff Rystic API simulators from your agent.
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.
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
| In the chat | What happens |
|---|---|
Savepoint | consolidate 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 stateark | register with Claude Desktop |
npx stateark report | anonymised local usage summary, printed for you only |
npx stateark remove | unregister; savepoints are kept |
// ... 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.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.
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.
| Variable | Default | |
|---|---|---|
STATEARK_LOCK_WAIT_MS | 60000 | how long to wait for another process before giving up |
STATEARK_LOCK_STALE_MS | 120000 | when a lock is assumed to belong to a dead process |
STATEARK_FS_RETRIES | 6 | retries when a sync client holds a file open |
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.
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.
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
The HTTP entrypoint is a local server on your own machine, so StateArk assumes any web page you visit is hostile:
| Control | Default |
|---|---|
| Bind address | 127.0.0.1 (STATEARK_BIND to change) |
| Access key | random per install, in /.access-key, constant-time compared |
Origin header | loopback only, plus STATEARK_ALLOWED_ORIGINS |
Host header | loopback only, plus STATEARK_ALLOWED_HOSTS (DNS-rebinding guard) |
| CORS | echoes the validated origin, never * |
| Upload form | single-use CSRF token, capped body size |
| Non-loopback bind | refuses 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.
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:
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.
Run the migrations in the Supabase SQL editor, in order:
supabase/migrations/001_stateark.sqlsupabase/migrations/002_artifacts.sqlsupabase/migrations/003_hardening.sqlThen 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:
meta.json (disabled / pending / synced / failed);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.
When you say Savepoint, the host LLM should:
transfer=text;transfer=base64 only when truly available;transfer=pending instead of fabricating it;... 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.
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.
| Code | Meaning |
|---|---|
artifact_carried_forward | file was not re-submitted and not declared deleted, so it was copied from the previous version |
artifact_became_pending | content that was stored is now only pending |
artifact_shrank | file collapsed to under 50% of its previous size |
truncation_marker | stored text contains ... rest unchanged, [...], … gekürzt and similar |
no_change | this savepoint is identical to the previous one |
journal_not_reflected | decisions were journalled but the submitted state lists none |
artifacts_mentioned_but_missing | the 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.
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_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.
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 My Projec
Solo se muestra el principio; lee el resto en el repo