Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Local-first version control for AI work. Savepoint and resume your project state across chats.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
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 statearkIn .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 .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.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
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
Der Registry-Name wurde mit dem GitHub-Konto Askrion bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
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.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
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).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.5.3) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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.
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
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