Decision QC — AI Devil's Advocate

Name: Decision QC — AI Devil's Advocate
Author: ugo2000

by ugo2000version 1.0.0i★ –iRuns in the cloud

Registry nameio.github.ugo2000/decision-qc

Install

Overview

Description from the maker (original English)

Devil's-advocate QC API for AIs: post a decision, get strongest counter-argument. 0.1 USDT/call

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 checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://random-monetize.onrender.com/mcp

Run this in your terminal

claude mcp add --transport http decision-qc https://random-monetize.onrender.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "decision-qc": {
      "url": "https://random-monetize.onrender.com/mcp"
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "decision-qc": {
      "type": "http",
      "url": "https://random-monetize.onrender.com/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://random-monetize.onrender.com/mcp

Menu names can differ slightly by plan and over time.

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.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ugo2000, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 18352 servers in this category
Published to the registry more recently than 23% of the other 18352 servers in this category
Basic checks equal to or better than 100% of the other 18352 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 Decision QC — AI Devil's Advocate safe?

It passed 1 of 1 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Hunter Killer

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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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.

决策质检 M2M API · Decision QC M2M API

一个由 AI 运营、面向其他 AI 的"魔鬼代言人"质检服务。你的 agent 做一个决定，它立刻给出最尖锐的反对意见——按次付费，USDT 实时结算。

An AI-run "devil's advocate" QC service for other AIs. Your agent makes a decision; it returns the sharpest counter-argument. Pay-per-call, settled in USDT.

English below. 中文先。

这是什么 / What it is

你的 AI agent 在重大决定前，调一下这个接口，就能拿到一份结构化的"反对意见"——最强反驳、关键风险、一个该反问自己的问题。帮你（和你的 agent）少踩坑。

Before your AI agent commits to a big decision, call this endpoint to get a structured counter-argument: the strongest rebuttal, key risks, and one question you should ask yourself. Helps you (and your agent) avoid blind spots.

由 DeepSeek 驱动，真实生成反对意见（非模板）
每次调用 0.1 USDT(TRC20)，先付款后服务（TRC20 最小充币 0.1 USDT，故单次调用即一次到账转账）
付款实时进卖方钱包，链上验真，不托管、不抽水
同时是 MCP server，支持被 Claude/Cursor/Cline 等客户端自动发现调用

Powered by DeepSeek (real generated counter-arguments, not templates). 0.1 USDT(TRC20) per call, pay-first. Payments land in the seller wallet in real time, verified on-chain, no escrow. Also an MCP server, discoverable by Claude/Cursor/Cline etc.

在线地址 / Live endpoint

https://random-monetize.onrender.com

落地页（中英文可切换）：https://random-monetize.onrender.com/ Landing page (zh/EN toggle): https://random-monetize.onrender.com/

怎么调 / How to call

REST（最简单）

curl -X POST https://random-monetize.onrender.com/api/argue \

-H "Content-Type: application/json" \ -d '{"decision":"Quit my stable job to run a one-person company?","caller":"your-agent-id","tx_hash":"YOUR_USDT_TX_HASH"}'

付款方式 / Payment：先向卖方钱包转入 0.1 USDT(TRC20)（TRC20 最小充币额 0.1 USDT，单次即一笔到账），拿到交易哈希 tx_hash 再调。 Payment: first send 0.1 USDT(TRC20) to the seller wallet (TRC20 minimum deposit is 0.1 USDT per transfer, so one payment = one call), then call with the resulting tx_hash.

卖方收款钱包 / Seller wallet (TRC20): TYxynR5V17FYB49osvU3rUkiD7vW2ov634
单价 / Price: 0.1 USDT per call（TRC20 最小充币 0.1 USDT）
不付钱直接调会被拒 / Without payment: rejected with payment_required

MCP（标准，被 AI 客户端自动发现） 端点 / Endpoint: POST https://random-monetize.onrender.com/mcp（protocol 2024-11-05）工具 / Tool: decision_qc，参数 / params: decision / caller / tx_hash

Python 嵌入你的 agent / Embed in your agent 参考 buyer_agent.py——把里面的 call_qc() 嵌进你的工作流，每当 agent 要做决定先来质检。 See buyer_agent.py — embed call_qc() into your workflow; QC before every decision.

为什么值得接 / Why wire it in

你的 agent 做决定时多一双"反对的眼睛"，少一次翻车
成本极低（0.1 USDT ≈ ¥0.72），比一次错误决策便宜太多
机器对机器，零人工，付完即用

Your agent gets a "second opposing eye" before deciding, for a tiny cost (0.1 USDT ≈ ¥0.72) — far cheaper than one bad call. Machine-to-machine, zero human in the loop.

诚实边界 / Honest note

服务、收款、付款链上验真、MCP 被发现通道已全部就绪。当前真实外部付费调用为 0 —— 这不是代码问题，是"还没被足够多的 agent 发现并使用"。如果你用了、觉得值，转发给也在跑 agent 的朋友就是最好的推广。

The service, payout, on-chain payment verification, and MCP discovery are all live. Real external paid calls are currently 0 — not a code issue, just "not yet discovered by enough agents". If you use it and find it useful, passing it to fellow agent-runners is the best promo.

本地运行 / Run locally

pip install -r requirements.txt   # 零依赖，仅标准库也可跑

export DEEPSEEK_API_KEY=你的key # 不填则返回演示反对意见 python seller.py # 监听 0.0.0.0:8001

看账本 / View ledger: 浏览器开 http://127.0.0.1:8001/status See ledger at http://127.0.0.1:8001/status

部署 / Deploy

已部署到 Render（render.yaml 在仓库根）。改完代码需在 Render 服务页点 Manual Deploy → Deploy latest commit 才生效（git push 不会自动部署）。 Deployed on Render (render.yaml at repo root). After pushing, click Manual Deploy → Deploy latest commit on Render (git push alone does not auto-deploy).

文件 / Files

seller.py：决策质检 API + MCP server（卖方AI）
buyer_agent.py：真实外部调用方模板，可嵌进你的 agent
requirements.txt：零依赖（标准库即可）；链上自动转账依赖见 requirements-payout.txt
smithery.yaml：MCP 市场发布配置
render.yaml：Render 部署配置

Decision QC — AI Devil's Advocate

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Hunter Killer

README from the maker

决策质检 M2M API · Decision QC M2M API

这是什么 / What it is

在线地址 / Live endpoint

怎么调 / How to call

为什么值得接 / Why wire it in

诚实边界 / Honest note

本地运行 / Run locally

部署 / Deploy

文件 / Files