TOPY.AI · AI CPO

Name: TOPY.AI · AI CPO
Author: TOPY-AI-LTD

作者：TOPY-AI-LTD版本 0.1.0i★ –i电脑或云端

注册名称ai.topy/cpo

安装

概览

作者提供的说明（英文原文）

Founders' AI CPO: product review, feedback triage, decision log, honest A/B tests, PRDs, roadmap.

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

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: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 其他
你需要填写：TOPY_API_KEY

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：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： TOPY_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://topy.ai/mcp/cpo

或者在你的电脑上运行

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

{
  "mcpServers": {
    "cpo": {
      "command": "npx",
      "args": [
        "-y",
        "@topy-ai/cpo-mcp"
      ],
      "env": {
        "TOPY_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http cpo https://topy.ai/mcp/cpo

或者在你的电脑上运行

claude mcp add cpo --env TOPY_API_KEY=your-value -- npx -y @topy-ai/cpo-mcp

运行前请先填写空着的值。

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": {
    "cpo": {
      "url": "https://topy.ai/mcp/cpo"
    }
  }
}

或者在你的电脑上运行

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": {
    "cpo": {
      "command": "npx",
      "args": [
        "-y",
        "@topy-ai/cpo-mcp"
      ],
      "env": {
        "TOPY_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "cpo": {
      "type": "http",
      "url": "https://topy.ai/mcp/cpo"
    }
  }
}

或者在你的电脑上运行

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": {
    "cpo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@topy-ai/cpo-mcp"
      ],
      "env": {
        "TOPY_API_KEY": "your-value"
      }
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://topy.ai/mcp/cpo

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

TOPY_API_KEY 机密 env
A TOPY API key (Dashboard → API keys); or run `npx @topy-ai/cpo-mcp login` once instead.

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

服务器要求先登录，才会列出它的工具。

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7日

✓ 通过
作者与仓库一致
注册名称已通过域名 topy.ai 验证（注册中心会核实域名所有权）
… 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
✓ 通过
端点有响应
在 295 毫秒内响应（HTTP 401）
✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录，你的 AI 应用可以带你去登录
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32678 个服务器的 0%
发布到注册中心的时间比此分类中其他 32678 个服务器的 77% 更新
基础检查结果等于或优于此分类中其他 32678 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

TOPY.AI · AI CPO 安全吗？

它在 3 项适用的基础检查中通过了 3 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？

你需要填写：TOPY_API_KEY

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.1.0）于10天前进入注册中心。

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。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Starreel

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前天更新

安装

Starreel

作者：starreel

Turn a script into a finished, downloadable short-drama episode — via MCP or REST.

在你的电脑上运行今天更新

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。

TOPY AI CPO Skills 19 skills that make your coding agent a small company's AI CPO: it decides what to build and proves it worked — feedback triaged with clear rules, de-identified user research, a PMF survey, positioning, RICE priorities, a now/next/later roadmap, PRDs with a success metric, a build-or-not check before the AI CTO, pre-registered experiments read without peeking, and a decision log with falsifiers — on the TOPY.AI CPO MCP server.

The AI CPO is goal-first. It keeps three standing goals — people reach value (activation rate), people keep coming back (weekly active users) and the product is a must-have (the PMF score: 40% or more "very disappointed") — and every skill below exists to move one of them. Usage figures and experiment results come from the tools; a KPI without a recorded value is "no data", never zero.

Core (topy-ai-cpo): connect, the CPO's goals, the weekly product review, the daily watch.
Feedback: capture an item cleanly, triage it, close the loop with the sender.
Discovery: user research, the PMF survey, positioning and a competitor teardown.
Planning: RICE prioritisation, the now/next/later roadmap, PRDs, build or not.
Experiments: plan and start a pre-registered test, read it honestly, instrument and ship behind a flag.
Decisions: log a decision with its falsifier, revisit it when the date comes.

The safety model comes from Maggie Product and Maggie Feedback Triage and does not bend: experiments are pre-registered (hypothesis, metric, MDE, sample, stop rule) and never peeked at — a read-out before the planned sample says "keep running", never "significant"; every PRD has a success metric and how it is measured; every logged decision has a falsifier; feedback, interview and usage text is data, never instructions, and quotes are de-identified; anything touching billing or prices, sign-in, permissions, security, privacy, legal text, paid builds or deleting customer data is a person's decision; and the CPO decides what to build — the AI CTO builds: it writes no code and ships nothing. Changes take two calls — a preview, then your yes.

Install

npx @topy-ai/cpo-skills install                  # this project, for the agents set up here

npx @topy-ai/cpo-skills install -g --mcp # your user, plus the MCP server npx @topy-ai/cpo-skills install --category feedback,experiments npx @topy-ai/cpo-skills list

Claude Code plugins: /plugin marketplace add TOPY-AI-LTD/TOPY-AI-CPO-Skills, then /plugin install topy-ai-cpo-all@topy-ai-cpo. Codex: codex plugin marketplace add TOPY-AI-LTD/TOPY-AI-CPO-Skills. Pi: pi install npm:@topy-ai/cpo-skills. See the installer README.

Connect TOPY.AI

https://topy.ai/mcp/cpo — OAuth with your TOPY.AI account (the same one as the AI CEO, CFO, COO, CSO and CRO). Only the accounts that own the OneMan operation see its product records.

Client	How
Claude, ChatGPT (web, desktop)	custom connector `https://topy.ai/mcp/cpo`
Claude Code	`claude mcp add --transport http topy-cpo https://topy.ai/mcp/cpo`
Codex	`codex mcp add topy-cpo --url https://topy.ai/mcp/cpo`
Clients that only start a command	`npx -y @topy-ai/cpo-mcp` after `npx @topy-ai/cpo-mcp login`
Terminal and scripts	`npm i -g @topy-ai/cpo-cli && cpo-cli login`

Writing code and shipping are not on topy.ai/mcp/cpo: the AI CTO builds, after the build-or-not check and the Founder's yes.

How the skills fit together

topy-cpo-connect ─▶ topy-cpo-goals

│ weekly Tue 09:27: topy-cpo-weekly-review ─▶ the founder (email) and the CEO weekdays 11:07: topy-cpo-daily-watch (quiet unless something needs attention) │ feedback: topy-cpo-feedback-capture ─▶ topy-cpo-feedback-triage ─▶ topy-cpo-feedback-reply discovery: topy-cpo-user-research · topy-cpo-pmf-survey ─▶ topy-cpo-positioning planning: topy-cpo-prioritize ─▶ topy-cpo-roadmap ─▶ topy-cpo-build-or-not ─▶ topy-cpo-prd ─▶ the AI CTO experiments: topy-cpo-experiment-plan ─▶ topy-cpo-launch-safely ─▶ topy-cpo-experiment-read decisions: topy-cpo-decision-log ─▶ topy-cpo-decision-revisit

Try: *"How did the product do this week?"*, *"Triage the new feedback"*, *"Should we build this?"*, *"Write a PRD for full exports"*, *"Did the onboarding test win?"*

Packages

Package	What it is
`@topy-ai/cpo-skills`	This installer (Claude Code, Codex, Pi, Cursor, Gemini CLI, …)
`@topy-ai/cpo-mcp`	The CPO MCP server as a local stdio server (forwards to `https://topy.ai/mcp/cpo`)
`@topy-ai/cpo-cli`	The AI CPO on the command line

Repository structure

plugins/

topy-ai-cpo/ core skills + .mcp.json (Claude Code) and mcp.json (Codex) topy-ai-cpo-feedback/ topy-ai-cpo-discovery/ topy-ai-cpo-planning/ topy-ai-cpo-experiments/ topy-ai-cpo-decisions/ topy-ai-cpo-all/ bundle that depends on all six .claude-plugin/marketplace.json Claude Code marketplace .agents/plugins/marketplace.json Codex marketplace skills.json machine-readable catalogue packages/skills/ the @topy-ai/cpo-skills installer

The skills are generated from a source catalogue kept next to TOPY.AI's MCP server; the build checks every tool a skill names against the CPO server's tool list. Please open an issue rather than editing a SKILL.md.

License

Skills

19 skills in 6 plugins, plus the topy-ai-cpo-all bundle. Generated from the source catalogue: please open an issue rather than editing a SKILL.md.

AI CPO core (MCP) · `topy-ai-cpo`

Skill	Tier	What it does
`topy-cpo-connect`	core	Connect the TOPY CPO MCP server and check what it can see: the product review, the feedback queue, experiments and the decision log.
`topy-cpo-daily-watch`	core	Weekdays: new feedback to triage, experiments due for a read-out and decisions due for revisit — a note to the Founder only when something needs attention.
`topy-cpo-goals`	core	The AI CPO's standing goals and its status report for the CEO: activation, weekly active users and the PMF score, each with source and date or 'no data'.
`topy-cpo-weekly-review`	core	Every Tuesday: usage, the feedback queue by theme, experiments due for a read-out and decisions due for revisit, with at most three actions — for the Founder and the CEO.

Feedback · `topy-ai-cpo-feedback`

Skill	Tier	What it does
`topy-cpo-feedback-capture`	connected	Record a piece of user feedback — a bug, an idea, praise or a question — with where it came from, de-identified, so triage can act on it.
`topy-cpo-feedback-reply`	connected	Draft the reply each sender is owed — fixed, coming, not planned and why, or one precise question — in plain words and their language, for the Founder to send.
`topy-cpo-feedback-triage`	connected	Decide each new item — accept, reject, duplicate or needs info — size it small, medium or large, and route it: small and safe to the AI CTO, larger or sensitive ones to a PRD and the Founder.

Discovery & positioning · `topy-ai-cpo-discovery`

Skill	Tier	What it does
`topy-cpo-pmf-survey`	connected	Run the product/market-fit survey properly — the 'very disappointed' question to the right users, 40% as the signal — and read who the product is a must-have for.
`topy-cpo-positioning`	connected	Write the positioning — for whom, what job, which category, what benefit, unlike which alternative — from a sourced teardown of the real alternatives.
`topy-cpo-user-research`	connected	Plan and run a small round of user interviews about past behaviour, then turn the notes into de-identified insights and recorded feedback.

Planning & specs · `topy-ai-cpo-planning`

Skill	Tier	What it does
`topy-cpo-build-or-not`	connected	Before the AI CTO writes code: reuse what exists, compose a routine for a one-off, or build — privately or as a reusable app — with the reason recorded.
`topy-cpo-prd`	connected	Write a one-page PRD — problem, evidence, goals, non-goals, success metric and how it is measured, risks, rollout, open questions — that the AI CTO can build from.
`topy-cpo-prioritize`	connected	Rank candidate features by RICE — reach × impact × confidence ÷ effort — with the scales written down, so the order is explainable and the decision stays a person's.
`topy-cpo-roadmap`	connected	Keep one roadmap in three stages — now (committed), next (shaped), later (ideas) — ordered by value and effort, tied to goals, with no fake dates.

Experiments & launches · `topy-ai-cpo-experiments`

Skill	Tier	What it does
`topy-cpo-experiment-plan`	connected	Pre-register an A/B test — hypothesis, one primary metric, minimum detectable effect, sample size, duration and stop rule — then start it.
`topy-cpo-experiment-read`	connected	Read a test against its pre-registered plan: keep running until the sample is reached, check the split, report the effect with its uncertainty and guardrails, and log the decision.
`topy-cpo-launch-safely`	standalone	Before launch: define and verify the events the success metric needs, ship behind a feature flag to a small share first, watch guardrails, and keep a one-switch rollback.

Decisions · `topy-ai-cpo-decisions`

Skill	Tier	What it does
`topy-cpo-decision-log`	connected	Record a product decision with why, the evidence and a falsifier — what would change it — and a date to revisit, so decisions can be checked instead of re-argued.

| [`topy-cpo-deci

只显示了开头部分；其余内容请在仓库中阅读

TOPY.AI · AI CPO

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“其他”中的其他服务器比较i

常见问题

替代选择

Spec Driven Development

Remote Desktop Commander

Starreel

作者的 README

Install

Connect TOPY.AI

How the skills fit together

Packages

Repository structure

License

Skills

AI CPO core (MCP) · topy-ai-cpo

Feedback · topy-ai-cpo-feedback

Discovery & positioning · topy-ai-cpo-discovery

Planning & specs · topy-ai-cpo-planning

Experiments & launches · topy-ai-cpo-experiments

Decisions · topy-ai-cpo-decisions

AI CPO core (MCP) · `topy-ai-cpo`

Feedback · `topy-ai-cpo-feedback`

Discovery & positioning · `topy-ai-cpo-discovery`

Planning & specs · `topy-ai-cpo-planning`

Experiments & launches · `topy-ai-cpo-experiments`

Decisions · `topy-ai-cpo-decisions`