Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Wraps the WorkspaceGuard CLI as a single generic MCP tool for workspace usage checks.
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": {
"workspaceguard": {
"command": "uvx",
"args": [
"workspaceguard-cli",
"workspaceguard-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add workspaceguard -- uvx workspaceguard-cli workspaceguard-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"workspaceguard": {
"command": "uvx",
"args": [
"workspaceguard-cli",
"workspaceguard-mcp"
]
}
}
}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": {
"workspaceguard": {
"type": "stdio",
"command": "uvx",
"args": [
"workspaceguard-cli",
"workspaceguard-mcp"
]
}
}
}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 RudrenduPaul 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 (0.1.6) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Systemdox
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.
Your architecture in your agents' context: checks, specs, ADRs and docs over MCP, at write time.
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.
Install • Quickstart • CLI Reference • Comparison • FAQ
Per-workspace usage metering and fail-closed quota caps for one shared self-hosted AI assistant deployment (Odysseus or a compatible backend).
Run Odysseus (or a compatible self-hosted assistant) for your household or small team and there's no way to see who sent how many messages this month, or to stop one person's usage from burning through everyone else's API budget. WorkspaceGuard is a sidecar that adds that layer: per-workspace message counts, an optional monthly cap that fails closed, and a CLI (or JSON) report an admin or another agent can read.
npx workspaceguard-cli usage
-> alex [alex@example.com]: 812 messages this period, cap 1000 (81%) -> jordan [jordan@example.com]: 203 messages this period, cap unlimited
npm install -g workspaceguard-cli
Or run it without installing:
npx workspaceguard-cli usage
The package is workspaceguard-cli; the command it installs is workspaceguard. A genuine, independent Python port with the same CLI surface and --json shapes is published separately as workspaceguard-cli on PyPI (pip install workspaceguard-cli, see python/).
# Register the workspaces sharing one deployment (identity = the header value
workspaceguard add-workspace alex --identity alex@example.com workspaceguard add-workspace jordan --identity jordan@example.com
workspaceguard set-cap alex 1000
workspaceguard usage
Real output from a fresh install:
-> alex [alex@example.com]: 0 messages this period, cap 1000 (0%)
-> jordan [jordan@example.com]: 0 messages this period, cap unlimited
chat() entry point increments a per-workspace, per-month counter (src/core/usage.ts), isolated so one workspace's usage never leaks into another's.QuotaExceededError before the backend is ever called. If the usage store is corrupted or unreadable, WorkspaceGuard blocks requests instead of silently resetting everyone's count to zero (see CHANGELOG.md).workspaceguard usage --json returns structured output an orchestrator can parse directly, no screen-scraping.workspaceguard rotate-key re-encrypts a workspace's secrets under a new key and invalidates the old ciphertext.chat() in src/core/isolation-guard.ts is the single place every request flows through: resolve workspace, check quota, call backend, record usage.Every command accepts --json for a structured, agent-native output shape instead of the human-readable text shown below.
| Command | What it does |
|---|---|
workspaceguard init | Initializes the data directory and vault for this deployment. |
workspaceguard add-workspace --identity | Registers a workspace, idempotent on repeat calls for the same id. --identity is parsed positionally and must immediately follow ; it is not a free-standing flag. |
workspaceguard status [--json] | Lists configured workspaces. |
workspaceguard usage [--json] | Per-workspace message count, cap, and percent-used for the current month. |
workspaceguard set-cap | Sets or clears a workspace's monthly message cap. |
workspaceguard rotate-key | Rotates a workspace's vault encryption key (invalidates the old ciphertext). |
workspaceguard scan [--json] | Isolation config scan (scaffold stub, carried over from the original build; always returns an empty finding list today). |
workspaceguard -h, --help | Prints the command list above and exits 0. |
workspaceguard -V, --version | Prints the installed package version and exits 0. |
| Option | What it does |
|---|---|
--data-dir | Data directory for config, vault, and usage data. Takes precedence over WORKSPACEGUARD_DATA_DIR. |
--force | init only: regenerate the master key even if an existing key file at the resolved data dir looks corrupted or truncated. |
--json | Structured, agent-native output instead of human-readable text. |
[!WARNING]
--forcepermanently invalidates anything already encrypted under the old master key. Only use it when the existing key file is confirmed unrecoverable.
Data directory resolution, in order: --data-dir flag, then WORKSPACEGUARD_DATA_DIR env var, then ~/.workspaceguard. This used to default to the current working directory with no override -- running init from the wrong shell could silently write a live encryption key into an unrelated directory. init on an existing, valid key is idempotent (it loads and reuses that key); init on a key file that exists but doesn't decode to a valid key refuses to overwrite it without --force.
$ workspaceguard usage --json
{"ok":true,"usage":[{"workspaceId":"alex","identity":"alex@example.com","monthlyMessageCap":1000,"percentUsed":81,"period":"2026-07","messageCount":812,"estimatedBytes":48213}]}
The --json mode is what makes this agent-native rather than just human-convenient: an orchestrator or monitoring agent can call workspaceguard usage --json and parse the result directly instead of scraping terminal output.
import { createWorkspaceGuard, MockAdapter, QuotaExceededError } from "workspaceguard-cli";
const guard = await createWorkspaceGuard({ dataDir: "./data", backend: new MockAdapter() }); await guard.addWorkspace("alex", "alex@example.com"); await guard.setCap("alex", 1000);
try { await guard.chat("alex@example.com", "hello"); } catch (err) { if (err instanceof QuotaExceededError) { // alex is over their monthly cap } }
const report = await guard.usageReport();
The Python port exposes the same shape: from workspaceguard import create_workspace_guard, MockAdapter, QuotaExceededError.
WorkspaceGuard's Python distribution ships a Model Context Protocol server, so an MCP-compatible agent (Claude Desktop, Claude Code, an orchestrator) can call WorkspaceGuard directly as a tool instead of shelling out to the CLI and parsing text.
pip install "workspaceguard-cli[mcp]"
It exposes one tool, run, a generic subprocess wrapper: pass it the same argument list you'd pass on the command line, and it shells out to the installed workspaceguard binary, parses the resulting JSON, and returns it. Every failure mode (missing binary, launch error, timeout, non-zero exit, unparseable output) comes back as a plain {"error": ...} dict instead of raising, so a bad call can't crash the server.
run(args=["usage", "--json"])
To register it with an MCP-compatible client such as Claude Desktop, add it to the client's server config:
{
"mcpServers": { "workspaceguard": { "command": "workspaceguard-mcp" } } }
This assumes workspaceguard-mcp is already on PATH (installed via the mcp extra above). If you installed it somewhere else, replace "command" with the full path to the console script.
WorkspaceGuard is a sidecar, not a competing product. It sits in front of an Odysseus deployment (or a compatible backend) and adds the one layer that backend doesn't provide.
| Capability | WorkspaceGuard | Odysseus (native) |
|---|---|---|
| Per-user isolation (chat history, memory, API keys) | Not reimplemented; treated as already solved | Yes, built in by default |
| Per-workspace message counting | Yes | No |
| Monthly quota caps, fail-closed | Yes | No |
CLI / --json usage report | Yes | No |
| License | MIT | AGPL-3.0 |
This project originally set out to add per-user workspace isolation (separate chat history, memory, API keys) to a self-hosted AI chat platform. A feasibility spike found that Odysseus already enforces per-user ownership on chat history, memory, and API tokens by default, so building a competing isolation layer would have duplicated work Odysseus already does correctly.
WorkspaceGuard instead keeps its tested isolation engine (namespace separation, an AES-256-GCM vault with real key rotation, fail-closed identity resolution, a self-healing circuit breaker) as the identity-resolution substrate, and builds the layer Odysseus doesn't provide: usage metering and quota enforcement per workspace.
Free tier (this repo, MIT): per-workspace message counting, monthly cap enforcement, a CLI/JSON usage report. Not in this repo: a hosted, multi-tenant billing dashboard is a separate, closed-source product, mentioned here only as a roadmap item and never merged into this MIT codebase.
src/core/isolation-guard.ts -- the single choke point (chat()) every request flows through: resolve workspace, check quota, call backend, record usage.src/core/usage.ts -- the usage-metering engine this project adds: per-workspace, per-month counters with automatic period rollover, and QuotaExceededError enforcement.src/core/vault.ts, src/core/namespace.ts, src/core/circuit-breaker.ts -- the original isolation-engine code, kept as the identity and workspace-boundary substrate the metering layer reads from.src/adapters/ -- the BackendAdapter interface. MockAdapter is the only implementation today; a real Odysseus HTTP adapter has not been built yet.Backend-specific behavior never enters src/core/ directly. Everything goes through BackendAdapter.
WorkspaceGuard trusts an upstream identity header (default: Cf-Access-Authenticated-User-Email) to resolve the workspace.
[!WARNING]
This service must never be directly reachable from the network. Only r
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