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Safeagent

作者:azender1版本 0.1.22i★ –i在你的电脑上运行
注册名称io.github.azender1/safeagent

安装

概览

作者提供的说明(英文原文)

Exactly-once execution guard for AI agents. Prevents duplicate payments and webhooks on retry.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "safeagent": {
      "command": "uvx",
      "args": [
        "safeagent-exec-guard"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add safeagent -- uvx safeagent-exec-guard

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "safeagent": {
      "command": "uvx",
      "args": [
        "safeagent-exec-guard"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "safeagent": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "safeagent-exec-guard"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 azender1 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32455 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32455 个服务器的 13% 更新
  • 基础检查结果等于或优于此分类中其他 32455 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Safeagent 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.22)于5个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, SSTracker free youth training

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

SSTracker free youth training

作者:sstracker.app

Free youth sports drills, practice plans and age-group answers for parents and coaches.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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.

Scope and outcome-based terms



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.


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:

ScenarioWithout SafeAgentWith SafeAgent
Stripe charge times out after acceptanceRetry may charge twiceSame key remains PENDING until provider reconciliation
Welcome email on signup retriedUser gets two welcome emailsSecond send returns SKIP
Webhook delivered twice (Stripe/GitHub/Twilio guarantee at-least-once)Event processed twiceSecond processing returns SKIP
Workspace provisioned on retryTwo workspaces createdSecond provision returns SKIP
AI agent tool call retried after crashDuplicate side effectSame key stays blocked; outcome is explicitly unresolved

Guarantee boundary: SafeAgent proves local claim state, not the external outcome. COMMITTED means the caller settled a receipt. PENDING means 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

只显示了开头部分;其余内容请在仓库中阅读

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