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

ControlKeel

by aryaminusversion 0.2.29i★ –iRuns on your computer
Registry nameio.github.aryaminus/controlkeel

Install

Overview

Description from the maker (original English)

Governed MCP workflows with policy validation, findings tracking, and review gates.

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.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

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

{
  "mcpServers": {
    "controlkeel": {
      "command": "npx",
      "args": [
        "-y",
        "@aryaminus/controlkeel"
      ]
    }
  }
}

Run this in your terminal

claude mcp add controlkeel -- npx -y @aryaminus/controlkeel

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "controlkeel": {
      "command": "npx",
      "args": [
        "-y",
        "@aryaminus/controlkeel"
      ]
    }
  }
}

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": {
    "controlkeel": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@aryaminus/controlkeel"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 aryaminus, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18334 servers in this category
  • Published to the registry more recently than 6% of the other 18334 servers in this category
  • Basic checks equal to or better than 100% of the other 18334 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 ControlKeel 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.29) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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

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 2 days ago
Install

ProAgentStore

by ProAgentStore

MCP-first control plane for ProAgentStore agents and private instances.

Runs in the 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.

ControlKeel

Turn the way your team works into enforceable memory for AI agents. - @arya_minus

ControlKeel is an agent control plane for day-to-day governed engineering. Through observation, findings and evaluation, it learns your intent rules, review taste and delivery habits, turning them into typed memory, policy checks and proof bundles. CK sits between your coding agents and production as a portable "company brain": comparing *intended* delivery against *actual* delivery and turning raw agent intent into policy-validated tasks.

If you're using an AI agent today, you probably have an *.md telling it how to behave. But a rules/specs file is just a promise made *to* the model. ControlKeel enforces the output. Beyond just catching bugs, CK solves the "Unknown Unknowns" problem: having to re-explain your domain knowledge in every single session.

Product loop

  1. Capture intent and policy — scope, risk, budget, domain pack, and human taste become CK state.
  2. Validate agent output — deterministic checks and optional advisory review produce findings before risky work reaches main.
  3. Gate only when needed — humans approve high-impact actions when intent, risk, or policy requires it.
  4. Persist evidence — findings, reviews, proofs, memory, cost, and task outcomes survive host switches.
  5. Improve with evals — traces and recurring failures become bounded regression evidence for specific suites and subjects.

The operating rule is simple: spend tokens on discovery, not rediscovery. Recurring behavior moves through a human-gated deterministic promotion path; once its regression evidence passes, checks, APIs, CLIs, or workflows handle the known case and agents handle only exceptions and genuinely new uncertainty.

ControlKeel transforms your domain knowledge from "raw" intent and "shelfware" documentation into a living system that remembers, enforces, and evolves.

Quick start

One-line setup via your agent

Copy/paste this into your agent (OpenCode, Codex, Claude, or another supported host):

Set up ControlKeel for this repository. Read and follow https://raw.githubusercontent.com/aryaminus/controlkeel/main/README.md, https://raw.githubusercontent.com/aryaminus/controlkeel/main/docs/getting-started.md, https://raw.githubusercontent.com/aryaminus/controlkeel/main/docs/support-matrix.md, and https://raw.githubusercontent.com/aryaminus/controlkeel/main/docs/agent-integrations.md. Install ControlKeel if missing, run `controlkeel setup`, detect this agent host, attach the strongest supported path with `controlkeel attach <host>`, then run `controlkeel attach doctor`, `controlkeel provider doctor`, `controlkeel status`, `controlkeel findings`, and the host-native MCP check. If CK is available only as MCP, call `ck_attach` for this host. Apply only safe local fixes and redact secrets from logs. Pause and ask before continuing if the host needs workspace trust, manual provider configuration, a restart after attach/plugin changes, or a plan-review approval that cannot auto-wait. Ensure the project is trusted and restart the host after attach/plugin changes.
CLI install

Install the CLI:

brew tap aryaminus/controlkeel && brew install controlkeel

or

npm i -g @aryaminus/controlkeel

or

curl -fsSL https://github.com/aryaminus/controlkeel/releases/latest/download/install.sh | sh

Windows PowerShell:

irm https://github.com/aryaminus/controlkeel/releases/latest/download/install.ps1 | iex

First governed run:

controlkeel

controlkeel setup controlkeel attach opencode # project scope by default; use another supported host as needed controlkeel attach doctor controlkeel provider doctor controlkeel status controlkeel findings

Run setup and attach from the repository you want to govern. Project scope writes host files only inside that repository. --scope user writes host-level files under your user configuration only for targets that explicitly support user scope; it does not turn project binding or proof state into global state.

For the complete first-run path, use docs/getting-started.md. For host truth, use docs/support-matrix.md and docs/agent-integrations.md.

Benchmark-backed evidence

ControlKeel includes a persisted benchmark engine. Current user-facing evidence is bounded to the named suite, subject, and scoring definition below; docs/benchmarks.md is the canonical reference for full tables, caveats, JSON exports, and agent-host protocols.

Verified with-vs-without-CK baseline (host_comparison_v1, 12 risky scenarios)

Verified with ControlKeel 0.3.45:

  • Risky suite host_comparison_v1: null_policy_baseline caught 0/12; controlkeel_validate caught 12/12, blocked 9/12, and hit expected rules 9/12 with median deterministic validation time 52 ms, 0 provider tokens.
  • Paired benign suite benign_baseline_v1: controlkeel_validate produced 0/10 catches, 0/10 blocks, FPR 0.000, median deterministic validation time 42 ms, 0 provider tokens.

Read the numbers precisely: deterministic scanner evidence is not the same as model-backed agent-host evidence. Reproduction commands and the OpenCode/Copilot/Claude/Codex comparison protocol live in docs/benchmarks.md.

What ships today

  • Local governance: CLI, the full local stdio MCP tool set, project binding, host attach/export bundles, scanner validation, findings, reviews, proof bundles, budgets, and typed memory.
  • Host and runtime support: native attach for supported hosts, runtime exports for headless/outer-loop systems, a narrower OAuth-scoped hosted MCP set, minimal A2A, and fallback validation/proxy paths.
  • Team/project operations: org membership, invitations, workspace GitHub repo bindings, service accounts, webhooks, workspace tool policy, and policy-set APIs.
  • Cloud evidence paths: opt-in cloud telemetry, workspace keys, cloud run packages, runtime callbacks, and dormant-until-configured bidirectional sync for findings, reviews, digests, and memory records.
  • Observability loop: timelines, memory quality, costs, trends, problem clusters, eval candidates, benchmark drafts/history, and promotion advisories.

Docs map

  • docs/README.md — documentation map by job
  • docs/getting-started.md — install to first finding
  • docs/support-matrix.md — canonical host/protocol inventory
  • docs/agent-integrations.md — integration mechanisms and support tiers
  • docs/benchmarks.md — benchmark scoring, metadata, and claim discipline
  • docs/observability-feedback-loop.md — local evidence-to-regression loop
  • docs/control-plane-claim-matrix.md — README claim-to-test matrix for governance, memory, cloud sync, and human gates
  • docs/api-reference.md and docs/cli-reference.md — code-aligned surfaces
  • docs/packages.md — package and distribution catalog
  • docs/self-hosting.md — self-host deployment guidance

Development

mix setup

mix phx.server mix test mix precommit

Phoenix + Ecto on SQLite. Uses Req for HTTP. Single-binary builds ship through Burrito and GitHub Releases.

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