TOPY.AI · AI CPO

Registre officiel IA et agents

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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)

Claude Code

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

Configuration JSON (Claude Desktop, Cursor, VS Code)

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

NPM package @topy-ai/cpo-mcp

Claude Code

claude mcp add topy-ai-ai-cpo -e 'TOPY_API_KEY=<your topy_api_key>' -- npx -y @topy-ai/cpo-mcp@0.1.0

Configuration JSON (Claude Desktop, Cursor, VS Code)

{
    "mcpServers": {
        "topy-ai-ai-cpo": {
            "command": "npx",
            "args": [
                "-y",
                "@topy-ai/cpo-mcp@0.1.0"
            ],
            "env": {
                "TOPY_API_KEY": "<your topy_api_key>"
            }
        }
    }
}

Variables d'environnement

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

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire

TOPY AI CPO Skills
Install
Connect TOPY.AI
How the skills fit together
Packages
Repository structure
License
Skills

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

MIT © TOPY AI LTD. Privacy: topy.ai/privacy.

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-decision-revisit`	connected	When a decision's revisit date comes, check its falsifier against what the tools now show, and keep it, change it or extend the date — with a new log entry.

Questions fréquentes

Qu'est-ce que TOPY.AI · AI CPO ?

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

Comment installer TOPY.AI · AI CPO ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http topy-ai-ai-cpo 'https://topy.ai/mcp/cpo'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour TOPY.AI · AI CPO ?

Oui. Il attend TOPY_API_KEY, à renseigner dans sa configuration.

TOPY.AI · AI CPO est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient TOPY.AI · AI CPO ?

Il est publié par TOPY-AI-LTD. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.

Détails du serveur

Référencé dans: Registre MCP officiel
Éditeur: TOPY-AI-LTD
Catégorie: IA et agents
Exécution: Distant + Local
Étoiles GitHub: ★ 0
Licence: MIT
Langage: JavaScript
Dernier commit: 27 oct. 2026
Tickets ouverts: 0
Version: 0.1.0
Publié le: 27 oct. 2026

ai.topy/cpo

Serveurs similaires

Kotlin & Java Library Sources Kotlin/Java library sources, public API and KDoc from the real Maven sources jar, for A...
Prompt Maker Studio Your prompt library in any MCP client: list, fetch, save and version prompt templates.
Fulcra Use your Fulcra secure context lake to collaborate with other agents, read and write da...
TechFabric Write TechFabric posts from your agent. Walk through posts, compare studies, check read...
Airlox End-to-end encrypted sessions where agents share messages, files and runnable Python.
Bourdon Recognition-first cross-agent memory federation. One shared memory across all your agents.
WorldSignals Real-world events for agents: new companies, insolvencies, tenders, funding, layoffs, o...
Threads by 1Social Publish and schedule Threads posts from your AI assistant.

IA et agents