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PopNx MCPMCP servers for people who use AI · explained in plain words

aictrl

by aictrl-devversion 1.0.0-beta.3i★ –iRuns in the cloud
Registry namedev.aictrl/aictrl

Install

Overview

Description from the maker (original English)

Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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.

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

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://aictrl.dev/mcp

Run this in your terminal

claude mcp add --transport http aictrl https://aictrl.dev/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "aictrl": {
      "url": "https://aictrl.dev/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": {
    "aictrl": {
      "type": "http",
      "url": "https://aictrl.dev/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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://aictrl.dev/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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain aictrl.dev (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

  • … 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 32403 servers in this category
  • Published to the registry more recently than 79% of the other 32403 servers in this category
  • Basic checks equal to or better than 100% of the other 32403 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 aictrl 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-beta.3) reached the registry 9 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, LickityClick

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
Install

LickityClick

by lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computer or cloudUpdated today
Install

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.

aictrl.dev engineering skills and plugin

Essential, vendor-neutral AI engineering skills for the AI SDLC: turning bug reports and requests into well-defined issues, root-cause analysis, implementing changes, code review and explaining pull requests. Install the skills alone, or install the aictrl.dev plugin to add the same skills plus OAuth-connected workflows that run in the cloud on aictrl.dev, turning backlog work into reviewed pull requests.

aictrl MCP server

The hosted aictrl MCP server gives coding agents access to project context, backlog tasks, code-review findings, and controlled workflow execution. Connect to https://aictrl.dev/mcp using Streamable HTTP and sign in with OAuth. No API key or local server process is required.

You need an aictrl account and membership of an aictrl organization. Repository-backed work also needs a GitHub repository connected through the aictrl GitHub App. Access follows your organization membership; workflow execution follows the published workflow's permissions and approval gates.

GitHub Copilot in VS Code:

  1. Open the Command Palette and run MCP: Add Server.
  2. Choose HTTP (HTTP or Server-Sent Events) and enter https://aictrl.dev/mcp. Name the server aictrl and choose the configuration destination.
  3. Start the server from VS Code's MCP controls and complete the browser sign-in when prompted.

See VS Code's MCP setup guide for configuration destinations and server controls.

In other MCP clients, add the same remote URL and complete OAuth when prompted. The Claude Code and Codex plugins below already include the MCP configuration. See SETUP.md for connection checks and troubleshooting.

Try these prompts after connecting:

  • "Check my aictrl account readiness."
  • "Which aictrl organizations can I use?"
  • "Show the backlog tasks for my organization."
  • "List the published workflows I can run."

This public repository contains the skills, client configuration, and registry metadata for the hosted service. The hosted server's source code is private.

Install

Skills only — Codex, Claude Code, OpenCode, and compatible agents

npx skills add aictrl-dev/skills

Claude Code plugin

/plugin marketplace add aictrl-dev/skills

/plugin install aictrl@aictrl-public

Codex plugin

codex plugin marketplace add aictrl-dev/skills --ref main

codex plugin add aictrl@aictrl-public

OpenCode — install the skills with npx skills add aictrl-dev/skills, then add the connected-workflow server to opencode.json and sign in:

{ "mcp": { "aictrl": { "type": "remote", "url": "https://aictrl.dev/mcp", "enabled": true } } }
opencode mcp auth aictrl

Cursor / direct OpenCode skills — skills use the cross-tool Agent Skills standard:

git clone https://github.com/aictrl-dev/skills && cd skills

./scripts/install.sh cursor # or: opencode | all

…or copy `skills/*` into your tool's skills dir (`~/.cursor/skills`, `~/.config/opencode/skills`).

Then ask for the task naturally or invoke a supported slash command, for example /create-issue, /implement-code-change, /code-review, /create-workflow, or /execute-workflow.

The Skills

SkillWhat it doesTry it
create-issueVague feature or chore → code-grounded issue with scope, acceptance criteria, tests, risks, and open questions./create-issue
create-bugSymptoms or regression → reproducible, evidence-backed bug and regression-test requirement./create-bug
spec-reviewIssue/spec → repository-grounded readiness verdict and concrete gap fixes./spec-review
implement-code-changeIssue → tested, reviewed, merge-ready PR locally or through an optional connected workflow./implement-code-change
create-prExact revision + evidence → concise reviewer-ready PR title and body, with rollout and verification claims kept honest./create-pr
code-reviewExact PR head → actionable correctness, security, reliability, and test findings; no code changes./code-review
judge-review-findingsCurrent-head findings → TRUE/FALSE/UNCERTAIN plus FIX/DEFER/IGNORE judgments./judge-review-findings
reply-to-code-reviewAccepted review findings → fixes, verification, evidence-backed replies, and bounded re-review./reply-to-code-review
root-cause-analysisIncident or recurring failure → evidence-driven causal analysis, sibling exposure map, and prevention portfolio./root-cause-analysis
create-workflowWorkflow intent → validated aictrl.dev workflow v2 YAML with portable inline task nodes./create-workflow
execute-workflowPublished workflow → explicitly authorized, idempotent start with safe monitoring, gates, cancellation, and durable handoff./execute-workflow
design-reviewDrop an HTML mock or screenshot — get a sharp, located critique across IA, value prop, hierarchy, trust/friction, and a11y. Ends with "Fix these 3 first."/design-review path/to/mock.html
measurement-planFeature → structured measurement plan: learning objectives, metrics table, product-analytics events, warehouse changes, event pipeline./measurement-plan
recording-product-demoPoint it at a repo with a web UI — it boots the app, preps demo data/auth, records a time-locked Playwright demo synced to prepared narration from your selected speech tools, and builds a publish kit (MP4 + captions + embed)./recording-product-demo
explain-changePR, commit range, or design document → a grounded technical explainer of the design, difficult trade-offs, and real rollout state./explain-change
ui-polishPoint it at a screen — it renders phone and desktop, measures what screenshots hide (column alignment, field widths, labels, tap targets, contrast, dead space), fixes the source and re-measures until the checks pass./ui-polish
ux-testingPoint it at a page or prototype and a few tasks — AI testers act as first-time users through the accessibility tree or screenshots, success is verified from page state (not the tester's claim), then a design-review and fix loop re-tests into a before/after scorecard. Optional simulated users screen layout hypotheses./ux-testing path/to/page.html
design-review in action

Input: a SaaS landing page mock.

Value Proposition — WEAK

Hero headline "Workflows made simple" says nothing about what the product does. Fix: replace with a one-liner that names the user, the problem, and the outcome.

Actionability — BROKEN Three competing CTAs above the fold (Start free, Book demo, Watch video). Fix: one primary CTA above the fold; demote the others below.

Every critique names the element. Every fix is concrete. No generic "improve clarity."

ux-testing in action

On an internal work-queue design, novice agent testers asked to start the most important ready work approved a security review instead (v5: 2 of 2). After the fix loop moved the ready work above the approvals, 3 of 3 started the right issue. Simulated users reproduced the same trap (72% clicked Approve), and checks against page state caught a tester who reported success after creating nothing. Write-up: AI usability testing on a backlog design.

Why these exist

These skills are free and standalone. aictrl.dev adds controlled remote execution, approvals, policy, history, integrations, and cost limits. implement-code-change can use an optional connected workflow, and execute-workflow safely operates an existing published workflow; local mode remains available for every launch skill except the connected-only execute-workflow.

The Claude and Codex plugins and the skills.sh install all consume the root skills/ directory directly. There are no vendor-specific copies to repin or hand-edit. Connected execution always uses the aictrl MCP identity at https://aictrl.dev/mcp; OAuth is requested only when a connected workflow is used.

Privacy, terms and support

The skills run locally and send nothing to aictrl.dev. The bundled aictrl MCP server is used only when you connect it with OAuth; what it collects and keeps is described in the privacy policy and terms. Support: aictrl.dev/support or info@aictrl.dev. Security reports: security.txt. Setup guidance for the MCP connection is in SETUP.md.

Optional third-party services and keys

Bundled helpers in two skills can send data to a third-party service, only in the steps below and only when you run them. Nothing runs on install. A key is read only for its step, sent only to the service named in that row, and never printed, logged or stored. Each key belongs to the service it is sent to: Google credentials go only to Google, the TypeSafe key only to TypeSafe, and a custom simulator key only to the endpoint you set alongside it. The bundled aictrl MCP server never receives any of them.

Narration is prepared using the user's selected speech tools (for example, ElevenLabs) or supplied as audio plus measured word timestamps. Those tools receive the narration text/audio under their own configuration. The plugin does not include a narration API client or read speech-provider credentials; its splitter processes the prepared files locally.

No other skill sends data to a third-party service; the browser-based skills (ui-polish, ux-testing) load only the app URL you give them.

SkillStepService and what is sentEnvironment variables read
recording-product-demoUpload to YouTube (publish.cjs --upload with publish.upload.type youtube, opt-in)Google (oauth2.googleapis.com, www.googleapis.com): the rendered MP4, title and description, uploaded to your own channelYT_CLIENT_ID, YT_CLIENT_SECRET, YT_REFRESH_TOKEN
recording-product-demoUpload to a bucket (publish.cjs --upload with publish.upload.type gcs or s3, opt-in)Google Cloud Storage or Amazon S3, through your own gcloud storage cp or aws s3 cp: the whole publish kit (MP4s, poster, captions, embed page, PUBLISH.md) to the bucket path you configureNone: the CLI uses its own signed-in credentials

| ux-testing | Simulated users (optional; agent testers need no key) | TypeSafe (api.typesafe.ai), or an endpoint you set: the page state and candidate actions for each simulated step | TYPESAFE_API_KEY (optional UX_SIM_MODEL overrides the default model), or

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

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