Safeagent
Overview
Description from the maker (original English)
Exactly-once execution guard for AI agents. Prevents duplicate payments and webhooks on retry.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi2 of 2 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 34/wk · ★ 8
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Developer tools
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 2 of 2 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"safeagent": {
"command": "uvx",
"args": [
"safeagent-exec-guard"
]
}
}
}Run this in your terminal
claude mcp add safeagent -- uvx safeagent-exec-guardOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"safeagent": {
"command": "uvx",
"args": [
"safeagent-exec-guard"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"safeagent": {
"type": "stdio",
"command": "uvx",
"args": [
"safeagent-exec-guard"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account azender1, which owns the repo
- ✓ Pass
Still maintained
Code last changed 34 days ago
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Developer toolsi
- More stars than 87% of the other 5724 servers in this category
- Published to the registry more recently than 18% of the other 5724 servers in this category
- Basic checks equal to or better than 100% of the other 5724 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Safeagent safe?
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 34 days ago, and the latest version (0.1.22) reached the registry 5 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: REA, Netdata, Front-End Checklist
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
SafeAgent — Execution Guard for AI Agents
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"}'
→ {"status":"PROCEED","request_id":"..."}
Settle after the action fires
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"}}'
→ {"status":"committed","request_id":"..."}
Retry with the same request_id — returns SKIP
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"}'
→ {"status":"SKIP","request_id":"...","existing":{...}}
Free test endpoint — same logic, limited to 10 calls per IP
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"}'
→ {"status":"PROCEED","request_id":"...","test":true,"calls_remaining":9}
Indexed on Bazaar.
Measured CrewAI retry A/B
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
SafeAgent Control founding pilots
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.
Mycelium Trails
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.
Verified on Soma
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.
- Integrator badge — verified external client running Mycelium Trails in production
- Live trails — https://argentum-api.rgiskard.xyz/dashboard/trails?client=safeagent-prod
- Public audit — any auditor can verify SafeAgent executions independently
What it does
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.
The stack
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.
API
POST /claim
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": {...} }
POST /settle/{request_id}
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": "..." }
POST /claim/test
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 }
GET /audit
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.
Integration
Python
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()
Usage
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")
SaaS (Stripe / email / webhooks)
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}} )
CrewAI
from crewai import Agent
import sqlite3
guard_con = sqlite3.connect("safeagent_orders.db", check_same_thread=False)
... same guard pattern, keyed on tool_name + input hash + session_id
PR crewAIInc/crewAI#5822 adds pluggable idempotency backends. SafeAgent's SQLite schema is compatible.
WisePick
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 → Ba