TOPY.AI · AI CPO

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

by TOPY-AI-LTDversion 0.1.0i★ –iComputer or cloud

Registry nameai.topy/cpo

Install

Overview

Description from the maker (original English)

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

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 checksi3 of 3 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: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Other
You need to fill in: TOPY_API_KEY

Install

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

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: TOPY_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

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://topy.ai/mcp/cpo

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Or run it on your computer

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

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

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

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

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

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

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://topy.ai/mcp/cpo

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

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 against the domain topy.ai (the registry checks domain ownership)
… 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
✓ Pass
Endpoint responds
Responded in 295 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… 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 32673 servers in this category
Published to the registry more recently than 77% of the other 32673 servers in this category
Basic checks equal to or better than 100% of the other 32673 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 TOPY.AI · AI CPO safe?

It passed 3 of 3 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?

You need to fill in: TOPY_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 10 days 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, Systemdox

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.

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

Only the beginning is shown; read the rest in the repo

TOPY.AI · AI CPO

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

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

Systemdox

README from the maker

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`