Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Local MCP asset intelligence across Unity, Fab, Megascans, Gumroad & Cosmos.
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.
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
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.
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 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Tanshaydar 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 (1.5.0) kam vor 5 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du MCPB auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Georgia 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.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server for Georgian public data, read from the organizations that publish it.
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.
This project started because I wanted to prototype a dam.
Nothing serious — a short demo, maybe more if it worked out. Before building anything, I wanted to see what I already owned that could speed it up. So I searched my library for "dam": nothing came back. Of course nothing came back — no asset is *called* a dam. But spread across four packages I already owned were curved concrete meshes, a water system, some rocky terrain. Everything the dam needed. I'd had most of it for years and never once connected the pieces.
That's what ~1,500 assets across two stores did to me when this started — a library that has since grown past 7,500 assets across five ecosystems. Almost all of it from bundles and sales, none of it remembered. And it's not just me — no AI assistant knows either. Ask one for help and it either builds everything from scratch or sends you shopping, while hundreds of dollars of exactly-the-right-thing sits on your disk.
Quartermaster indexes everything you own across the Unity Asset Store, Fab, Quixel Megascans, Gumroad and Leartes Cosmos — locally, on your machine — and serves it to your coding agent over MCP. It's the tool I wished existed that day: ask about a dam, get told you already own curved concrete meshes.
you → "I want to build a dam — what do I have to work with?"
agent → search_owned_assets(...) finds the concrete meshes, water FX, terrain └─ Nordic Coastal Cliff (Quixel) · 5785 px/m · 2.03 × 2.92 × 2.44 m maps: Basecolor, Normal, Displacement, Cavity, AO, Roughness… validate_stack([...]) checks none of them fight each other import_asset_to_project(...) unpacks into Assets/, demos stripped
Every result is something you own or can claim free — nothing is invented.
*Typing a description, not a name — none of those results share a word with the query.*
Why *Quartermaster*? A quartermaster's job was never remembering what's in stores — it's making sure you're equipped when it's time to move. That's nearer the real problem than forgetting is. I hadn't lost anything; I knew I owned *stuff*. What I couldn't do was get from "I want to prototype a dam" to "open these four packages" without an hour of digging first — and *maybe more if it worked out* doesn't survive an hour of digging. Ideas that arrive that way don't get rejected. They just quietly don't happen, and you never find out whether they would have.
| Source | What comes in | How |
|---|---|---|
| Unity Asset Store | Owned packages, descriptions, gallery art | Authenticated harvest |
| Fab (Epic) | Owned Unreal and Unity listings | Authenticated harvest |
| Quixel Megascans / Megaplants | The catalog, with texel density, scan area and map lists | Public catalog sync |
| Gumroad | Owned products | Authenticated harvest |
| Leartes Cosmos | Owned and claimable Cosmos inventory, with deep screenshot galleries (18 on average, up to 71) | Authenticated harvest |
Everything lands in one SQLite table behind one search surface, so a query crosses all of them at once. Nothing is engine-scoped: a Megascans surface and a Unity shader come back from the same question if they both answer it.
Neither store will admit what you own.
Unity removed /account/purchases (404 since August 2026). Fab has no ownership API, no export button, nothing. Your purchase history exists only inside their private GraphQL, behind SSO, MFA, and bot detection.
Getting at it took four attempts, three of them failures:
That trick is most of this project. The rest — search, linting, unpacking — is honestly straightforward by comparison.
Two hard-won rules baked into the design, if you ever hack on this yourself:
taskkill without /F). An abrupt kill loses Unity's device-trust cookie and you'll get MFA-challenged on every future session.Fab's library view and the Megascans catalog are not the same list, and there is no export that reconciles them — you can hold rights to far more Megascans content than your library page displays. Whatever the cause, the practical result is the same: scrolling and hand-searching for something you already have.
Quartermaster sidesteps it. It syncs the Quixel Megascans and Quixel Megaplants seller catalogs from Fab directly — 5,580 listings as of this writing — independently of what your library view shows, and files them next to everything else you own, tagged by status:
Both are searchable, and every result says which it is, so an agent can tell "you own this" from "you can have this for nothing" without guessing.
Megascans rows also carry their physical specs where the listing publishes them — texel density, scan area, and the map list (basecolor, normal, displacement, cavity, AO, roughness…). That is the difference between an agent telling you it found a rock and an agent telling you it found a 1×1 m scan at 8192 px/m with displacement — which is the part that decides whether it's usable.
python -m src.store_client sync-quixel # catalog
python -m src.store_client enrich-quixel # texel density, scan area, maps
Search that understands intent & vision. This is the dam problem.
BAAI/bge-small-en-v1.5) — *"concrete structures for holding back water"* surfaces meshes and shaders whose listings never mention dams.Qdrant/clip-ViT-B-32) — searching *"gothic cathedral"* literally scores your screenshots and promo renders, finding assets even when their text descriptions are completely silent. A visual hit also hands back *which* screenshot matched, not just the cover art.match field — keyword, semantic+vision, keyword+semantic+vision — so you and your agent can see which signal fired. A pure-vision hit on a listing with useless marketing copy is a different kind of result than an exact title match, and it should be legible as one.docs/concepts.md.All three signals are fused with 3-way Reciprocal Rank Fusion (RRF) on your CPU. No GPU, no vector database process, no cloud API — ONNX Runtime and a numpy matrix, in the same process as everything else.
Measured on a ~7,500-asset vault: ~520 MB peak RAM with both models resident, ~1.4 s for the first query (loading BGE and CLIP), ~85 ms warm after that. The models load lazily, so an agent that never searches never pays for them.
Ground truth about your disk. Scans %APPDATA%/Unity/Asset Store-5.x/ and Epic's VaultCache so every result knows whether it's already downloaded or cloud-only. Agents prefer what's local — a zero-download import beats a 4 GB one.
A linter for stacks. Two vegetation renderers will fight. A MicroSplat module without core MicroSplat silently does nothing. A URP-only shader in an HDRP project renders pink. Quartermaster catches these before you spend an afternoon on them.
Direct unpacking. Extracts cached .unitypackage files straight into Assets/, dropping /Demo/, /Samples/, /Documentation/ and PDFs on the way in — typically 60–80% less bloat per package. Every declared path is normalized and asserted inside /Assets/; escapes are structurally impossible, not just filtered.
The standalone bundle — download Quartermaster-windows-x64.zip from Releases, unzip anywhere. No Python required.
Quartermaster.exe — Desktop GUI with Win+Alt+V spotlight search, store harvesting, library browsing, and direct unpacking.Quartermaster-mcp.exe — Standalone MCP stdio server for Claude Desktop, Cursor, Antigravity, and Windsurf.Your library data lives safely in %LOCALAPPDATA%\Quartermaster, so upgrades are simple folder replacements with zero data loss.
From source — needs Python 3.10+.
git clone https://github.com/Tanshaydar/Quartermaster.git
cd Quartermaster pip install -r requirements.txt
Seed your library:
1. Sign in. The one step that needs you. A normal browser window opens; 2FA and captchas behave exactly as they always do. Close it when you're done and the session persists locally.
python -m src.store_client login unity
python -m src.store_client login fab python -m src.store_client login gumroad # optional python -m src.store_client login cosmos # optional — Leartes Cosmos
2. Harvest and enrich. Long-running, resumable, safe to re-run — each picks up where it stopped.
python -m src.store_client fetch unity
python -m src.store_client fetch fab python -m src.store_client fetch gumroad # if you signed in above python -m src.store_client fetch cosmos # if you signed in above python -m src.store_client sync-quixel # Megascans/Megaplants catalog — no login needed python -m src.store_client enrich # descriptions and cover art, politely batched python -m src.store_client enrich-quixel # Megascans scan specs python -m src.store_client fab-deep-media # Fab only: plain HTTP is 403'd, galleries need the authed browser
**3. Build the local indexes, then scan your
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