Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Fail-closed human approval gates for AI agent actions. Default-deny, TTL expiry, audit log.
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": {
"approval-gate": {
"command": "npx",
"args": [
"-y",
"@itcustomsolution/approval-gate-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add approval-gate -- npx -y @itcustomsolution/approval-gate-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"approval-gate": {
"command": "npx",
"args": [
"-y",
"@itcustomsolution/approval-gate-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": {
"approval-gate": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@itcustomsolution/approval-gate-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 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto itcustomsolution 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 (0.4.1) kam vor 7 Tagen 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, Symantec Cloud DLP AIops
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.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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.
An MCP server and library for requesting a human decision before a consequential agent action. Approvals expire, are single-use and can bind an operation to an exact payload.
The trusted executor must enforce the approval. Installing an MCP server does not prevent an agent from using another tool, and the gate is not a security boundary against processes with the same OS-user privileges. Read the trusted execution boundary and threat model before integration.
As of 31 October 2026, v0.4.1 on GitHub and 0.4.1 on npm are published. Source changes, GitHub releases and registry publication are separate states; these links identify the released version.
Requires Node.js 22+. See the MIT license, changelog and test suite. The 0.4.1 release notes describe the shipped changes. Tests apply to the revision and environment where they ran; they do not establish production certification. The quickstart below pins the published package; run npm test for your own checkout.
Sending, deleting, publishing, spending and deploying need a decision tied to the actual operation. A general instruction to "ask first" leaves the executor to interpret an informal conversation. This project records a specific request, a human decision, an expiry and a single-use consume step that trusted execution code can enforce.
Use it when you control that execution boundary. If an agent can bypass it through a shell, another tool or direct file access, adding this server alone cannot enforce approval.
claude mcp add approval-gate -- npx -y @itcustomsolution/approval-gate-mcp@0.4.1
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "approval-gate": { "command": "npx", "args": ["-y", "@itcustomsolution/approval-gate-mcp@0.4.1"] } } }
Approve or deny from your terminal with npx -p @itcustomsolution/approval-gate-mcp@0.4.1 approval-gate list.
request_approval with action: "send email to alice@example.com, subject: Invoice 1042" and gets back id a1b2c3d4e5f6.wait_for_approval. Nothing is sent.approval-gate list, then approval-gate approve a1b2c3d4e5f6 looks right.approved, but that status does not authorize sending. The trusted executor calls executeApproved for that id and the exact action (plus operation/payload binding, if present) immediately around its send function. See Trusted execution boundary. It must not accept an agent-supplied or MCP JSON result as proof. Denial, timeout or expiry prevents a successful consume.~/.approval-gate/audit.jsonl now has the request and your decision.consume_approval returning ok: true (once, for the exact approved action), or executeApproved in trusted code. Pending, approved-but-not-consumed, denied, expired, timeout, error: none of those is an authorization; all of them mean no.status: "approved" is informational. Status responses carry authorizesExecution: false and an effectiveStatus (approved_unconsumed, approved_expired, consumed, revoked, ...). Trusted code that performs the side effect should call executeApproved (see Trusted execution boundary), which consumes the approval itself. A consume result that arrived over MCP, from a file or from an agent is never proof of approval, however well-formed.~/.approval-gate/audit.jsonl (an append-only convention, not a tamper-proof log).consume_approval succeeds once, only for the exact action text that was approved (and, if the request carried them, the same operation name and the same canonical JSON payload), and only if the clock read after all of its persistence is still at or before the request's expiry.Requires Node.js 22 or later (Node 18 and 20 are past end of life; the MCP SDK's @hono/node-server dependency needs Node 20+).
From npm:
npm install -g @itcustomsolution/approval-gate-mcp@0.4.1 # installs `approval-gate` and `approval-gate-mcp`
From source:
git clone --branch v0.4.1 --depth 1 https://github.com/itcustomsolution/approval-gate-mcp.git
cd approval-gate-mcp npm ci --ignore-scripts npm test # builds the source and runs the tests node dist/cli.js list
Claude Code:
claude mcp add approval-gate -- node /path/to/approval-gate-mcp/dist/index.js
Or in any MCP client config:
{
"mcpServers": { "approval-gate": { "command": "node", "args": ["/path/to/approval-gate-mcp/dist/index.js"] } } }
| Tool | Purpose |
|---|---|
request_approval | Register an intended action (action, reason, optional ttl_seconds, optional operation and JSON payload to bind). Returns an id (and payloadDigest). |
check_approval | Poll a request's status: pending / approved / denied / expired. |
wait_for_approval | Block up to timeout_seconds for a decision. Timeout = still pending = not approved. |
list_pending | List requests awaiting a human, oldest first, one page at a time (limit 1-100, default 50; pass nextCursor back as cursor). |
consume_approval | Call right before acting. Succeeds once, only if approved, unexpired, and action (plus operation/payload, if the request had them) matches exactly. Anything else: do not proceed. Its JSON result is not a transferable credential. |
decide_approval | Deny a pending request, or revoke an approved one that has not been consumed. Approving through MCP is refused by default, so an agent cannot approve its own request; approvals come from the CLI. Operators can opt in with APPROVAL_GATE_ALLOW_MCP_APPROVE=1 (not recommended). |
approval-gate list # pending requests
approval-gate show a1b2c3d4e5f6 approval-gate approve a1b2c3d4e5f6 looks right, ship it approval-gate deny a1b2c3d4e5f6 wrong recipient approval-gate revoke a1b2c3d4e5f6 changed my mind # approved but not yet consumed approval-gate list approved --limit 20 --after a1b2c3d4e5f6 # page through history approval-gate archive --older-than-days 30 # retention: move finished requests aside
show and the approve confirmation print the operation and the full canonical payload (escaped) when a request binds one: that is exactly what an executor will be allowed to run.
Put something like this in your agent's system prompt or policy file:
Before any outbound or destructive action (send, publish, delete, purchase, deploy),
call
request_approvaland thenwait_for_approval. When it returnsapproved, call
consume_approvalwith the same id and exact action text, and proceed only if it returns
ok: true. Never calldecide_approvalfor your own requests.
When your own code (not the agent) performs the side effect, let the gate consume the approval at that boundary and run exactly the approved payload:
import { executeApproved } from "@itcustomsolution/approval-gate-mcp/dist/store.js";
// id comes from the agent; the action, operation and payload are what your code is about to run. await executeApproved(id, { action, operation: "smtp.send", payload: { to, subject, body } }, async (ctx) => { ctx.assertActive(); // re-check expiry immediately before the side effect await smtp.send(ctx.payload); // ctx.payload is a frozen copy of what the human approved });
executeApproved accepts no receipt. It performs the single-use consume itself (binding to the action text, and to the operation and payload if the request carried them), writes an execution_started audit line (fsync), checks expiry again, and only then calls your function. If the start record cannot be written, or the approval expired during that write, nothing runs. Call ctx.assertActive() again after any await that precedes the side effect.
assertConsumed(result, id, action, binding?) remains for code that calls consumeApproval itself: it accepts only a grant object issued by consumeApproval in the same process, once, for the same id/action/binding, before expiry. A copy, a JSON round trip (an MCP response, a file, an agent message) or a hand-built object is always refused. 0.3.0 accepted any well-shaped object; see the changelog.
Crash and replay semantics. Consumption is at-most-once: once .used is claimed the approval is spent, whatever happens next, including refusals after the claim (expired during persistence, audit failure). A crash after execution_started and before execution_finished means the outcome is unknown: inspect the external system and, if needed, create and approve a new request. Nothing is retried automatically, and there is no atomic guarantee between this gate's files and the external system your callback touches. Details: docs/authorization-states.md.
| Limit | Value |
|---|---|
action, reason, decision reason | 8192 UTF-8 bytes each |
requested_by | 256 bytes (self-reported, never authenticated) |
operation | 1-128 of A-Z a-z 0-9 . _ : / - |
payload | JSON only; 32 KiB canonical (RFC 8785), depth 32, 10000 values; no "__proto__" key |
| TTL | MCP: integer 10 s to 7 days; library: any finite number up to 7 days (zero or negative gives an already-expired request) |
| Requests awaiting a decision | APPROVAL_GATE_MAX_PENDING, default 100, 1 to 10000. Concurrent creators can overshoot by at most their own number. Invalid values fail closed. |
| List page | 1-100 (default 50) |
| State directory | New requests are refused at 100,000 entries in requests/; listing refuses above 200,000. Reading, deciding, consuming and archive work at any size. |
When the queue is full, request_approval fails with approval queue full until a human decides requests or they expire. Finished requests stay on disk until you run approval-gate archive, which moves only finished requests that were created and expired at least 8 days ago, so nothing archived can still be used. An MCP client can create and deny its own requests without a human, so it can fill requests/ up to the creation limit; that blocks new requests (an availability limit, like the queue cap), never a human's decisions. Each listing page reads every request file, so listing slows down as history grows until you archive. Paginated listing streams directory entries
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