Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Exactly-once execution guard for AI agents. Prevents duplicate payments and webhooks on retry.
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": {
"safeagent": {
"command": "uvx",
"args": [
"safeagent-exec-guard"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add safeagent -- uvx safeagent-exec-guardIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"safeagent": {
"command": "uvx",
"args": [
"safeagent-exec-guard"
]
}
}
}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": {
"safeagent": {
"type": "stdio",
"command": "uvx",
"args": [
"safeagent-exec-guard"
]
}
}
}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 azender1 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 (0.1.22) kam vor 5 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, BankBridge
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.
Works in any MCP agent, including local models. Read-only bank accounts, spending, investments.
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.
POST /claim · safeagent-production.up.railway.app Dashboard: safeagent-dashboard-2.vercel.app
# Claim an action — free, no payment header required
curl -s -X POST https://safeagent-production.up.railway.app/claim \ -H "Content-Type: application/json" \ -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'
curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \ -H "Content-Type: application/json" \ -d '{"result":{"status":"completed"}}'
curl -s -X POST https://safeagent-production.up.railway.app/claim \ -H "Content-Type: application/json" \ -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'
curl -s -X POST https://safeagent-production.up.railway.app/claim/test \ -H "Content-Type: application/json" \ -d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:bar:2026-05-19T13:31:00-04:00"}'
Indexed on Bazaar.
A credential-free experiment exercises CrewAI 1.15.21's actual same-process \ToolUsage._use\ retry against SafeAgent 0.1.23. Across 30 post-effect/pre-confirmation trials, the unguarded path recorded two effects per logical action; the SafeAgent path recorded one effect and retained a \PENDING\ claim for reconciliation.
Scope: scripted deterministic LLM and harmless effect recorded through an out-of-process capability-separated ledger. This does not validate process death, fresh-worker recovery, a real external provider, or SafeAgent Control reconciliation.
Method, source, tests, hashes, and 180-trial evidence
Two bounded, read-only reconciliation pilots are open for outside operators. There is no fee unless SafeAgent Control identifies a previously unknown, reproducible discrepancy that the operator agrees is actionable.
This implementation is a Mycelium Provider. Each completed action submits a trail to ARGENTUM with a content-addressed action_ref (JCS+SHA-256 over the four preimage fields). The returned mycelium_trail_id is included in every receipt for independent verification.
SafeAgent is the first verified external integrator on Soma — the Mycelium agent catalog. Every production execution is anchored on-chain via Mycelium Trails and independently verifiable without going through the operator.
SafeAgent is a durable execution-claim guard. It suppresses concurrent and repeated attempts that use the same stable request_id, and preserves unresolved attempts for reconciliation instead of silently retrying them.
Every action gets a stable request_id derived from the logical action. A new key returns PROCEED; a settled key returns SKIP with its stored result. A key left PENDING after a timeout or crash remains blocked because local state alone cannot prove whether the provider accepted the action. Recover it only after checking provider evidence or using provider-native idempotency.
State machine: CLAIMABLE → PENDING → COMMITTED; later claims observe PENDING or SKIP.
Common failure modes SafeAgent prevents:
| Scenario | Without SafeAgent | With SafeAgent |
|---|---|---|
| Stripe charge times out after acceptance | Retry may charge twice | Same key remains PENDING until provider reconciliation |
| Welcome email on signup retried | User gets two welcome emails | Second send returns SKIP |
| Webhook delivered twice (Stripe/GitHub/Twilio guarantee at-least-once) | Event processed twice | Second processing returns SKIP |
| Workspace provisioned on retry | Two workspaces created | Second provision returns SKIP |
| AI agent tool call retried after crash | Duplicate side effect | Same key stays blocked; outcome is explicitly unresolved |
Guarantee boundary: SafeAgent proves local claim state, not the external outcome.
COMMITTEDmeans the caller settled a receipt.PENDINGmeans unresolved—not failed and not confirmed successful. End-to-end exactly-once effects require provider-native idempotency and/or reconciliation with the provider's authoritative records.
SafeAgent is the durable claim and duplicate-suppression layer in an agent execution integrity stack:
Polaris (commit-gated authorization)
└── AgentGraph safety verdict (pre-execution safety gate) └── SafeAgent (durable claim guard) ← you are here └── Mycelium Trails (on-chain anchor)
Each layer is independently authored and independently verifiable. None trusts the others.
Gate an action. Returns PROCEED on first call, SKIP on any repeat.
Request body:
{
"request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "action": "order" }
request_id — stable identifier derived from what the agent is doing. Same inputs = same key.action — the action type being gated (e.g. payment.send, email, trade, order)Response:
{ "status": "PROCEED", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00" }
Retry with the same payload:
{ "status": "SKIP", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "existing": {...} }
Settle a claim after the action fires. Advances status from PENDING to COMMITTED.
curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \
-H "Content-Type: application/json" \ -d '{"result":{"status":"completed","txid":"abc123"}}'
{ "status": "committed", "request_id": "..." }
Free test endpoint — same logic, no payment required. Limited to 10 calls per IP total.
curl -s -X POST https://safeagent-production.up.railway.app/claim/test \
-H "Content-Type: application/json" \ -d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:6:bar:2026-05-19T13:31:00-04:00"}'
{ "status": "PROCEED", "request_id": "...", "test": true, "calls_remaining": 9 }
Full claim history. Filter by agent_id, action, status, or timestamp range.
curl "https://safeagent-production.up.railway.app/audit?agent_id=bot-1&status=COMMITTED"
{"items": [...], "total": 5, "limit": 100, "offset": 0}
Parameters: agent_id, action, status, from_ts, to_ts, limit (max 1000), offset.
import requests
def claim(request_id: str, action: str) -> dict: r = requests.post( "https://safeagent-production.up.railway.app/claim", headers={"Content-Type": "application/json"}, json={"request_id": request_id, "action": action} ) return r.json() # {"status": "PROCEED"|"SKIP", "request_id": "..."}
def settle(request_id: str, result: dict) -> dict: r = requests.post( f"https://safeagent-production.up.railway.app/settle/{request_id}", headers={"Content-Type": "application/json"}, json={"result": result} ) return r.json()
response = claim("payment:customer-123:invoice-456", "payment.send") if response["status"] == "PROCEED": result = send_payment(...) settle("payment:customer-123:invoice-456", {"status": "completed"}) elif response["status"] == "SKIP": print("Already executed, skipping")
For production Stripe PaymentIntents, use the permit-gated adapter documented in SafeAgent Boundary. It keeps the Stripe credential outside the agent, passes the consumed permit ID to Stripe as the native idempotency key, persists the provider correlation, verifies webhook signatures and supports authoritative read-back. The simple claim/settle snippet below illustrates the generic API only; it is not the provider adapter.
Run the bounded test-mode example in examples/stripe_payment_intent_guard.py. The verification record documents the observed end-to-end result: one successful Stripe sandbox PaymentIntent, an exact replay blocked before provider dispatch, and authoritative reconciliation by retrieve.
import requests
def safe_stripe_charge(customer_id, amount, idempotency_key): request_id = f"stripe:charge:{customer_id}:{idempotency_key}"
response = requests.post( "https://safeagent-production.up.railway.app/claim", headers={"Content-Type": "application/json"}, json={"request_id": request_id, "action": "stripe_charge"} ).json()
if response["status"] == "SKIP": return response.get("existing")
charge = stripe.PaymentIntent.create( amount=amount, currency="usd", customer=customer_id, idempotency_key=request_id, ) requests.post( f"https://safeagent-production.up.railway.app/settle/{request_id}", headers={"Content-Type": "application/json"}, json={"result": {"charge_id": charge.id}} ) return charge
Webhook deduplication — stable event IDs suppress repeated processing after a settled result; unresolved PENDING events stay blocked for investigation:
def handle_stripe_webhook(event):
response = requests.post( "https://safeagent-production.up.railway.app/claim", headers={"Content-Type": "application/json"}, json={"request_id": event["id"], "action": "stripe_event"} ).json()
if response["status"] == "SKIP": return {"ok": True}
provision_subscription(event) requests.post( f"https://safeagent-production.up.railway.app/settle/{event['id']}", headers={"Content-Type": "application/json"}, json={"result": {"processed": True}} )
from crewai import Agent
import sqlite3
guard_con = sqlite3.connect("safeagent_orders.db", check_same_thread=False)
PR crewAIInc/crewAI#5822 adds pluggable idempotency backends. SafeAgent's SQLite schema is compatible.
WisePick is a deterministic routing layer for agent runtimes. The integration splits capability selection from durable, idempotent execution — WisePick answers *what* and *which provider*, SafeAgent answers *whether this logical work already ran*.
Stack:
WisePick /v1/decide → DashClaw → SafeAgent → Mycelium Trails → BaNur der Anfang wird gezeigt; den Rest findest du im Repo