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Stateark

von AskrionVersion 0.5.3i★ –iLäuft auf deinem Computer
Name in der Registryio.github.Askrion/stateark

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

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

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft auf deinem Computer
  • Transport: stdio
  • Kategorie: Sonstiges

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf deinem Computer mit den Rechten deines Benutzerkontos (Dateien, Netzwerk, Apps).
  • Die Registry nennt keinen Schlüssel zum Eintragen.

Du brauchst

  • npmNode.js installiert (für den Befehl npx)

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein

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

Führe das in deinem Terminal aus

claude mcp add stateark -- npx -y stateark

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

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

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

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

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto Askrion bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • – Nicht zutreffend

    Endpunkt antwortet

    Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen

Im Vergleich mit anderen in Sonstigesi

  • Mehr Sterne als 0 % der anderen 32461 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 30 % der anderen 32461 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 32461 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist Stateark sicher?

Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.5.3) kam vor 2 Monaten in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

Spec Driven Development

von formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Läuft auf deinem Computer★ 440MITAktualisiert vor 14 Monaten
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Remote Desktop Commander

von desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Läuft in der Cloud★ 211Aktualisiert gestern
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dotnet-mcp

von Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

Läuft auf deinem ComputerAktualisiert heute
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README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

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

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