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

Containerport

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/containerport

Install

Overview

Description from the maker (original English)

Run core Docker container operations: list, run, inspect, logs, images and volumes.

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: Developer tools

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": {
    "containerport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/containerport",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add containerport -- npx -y @reneturcios/containerport mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "containerport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/containerport",
        "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": {
    "containerport": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/containerport",
        "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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 Developer toolsi

  • More stars than 0% of the other 1387 servers in this category
  • Published to the registry more recently than 89% of the other 1387 servers in this category
  • Basic checks equal to or better than 100% of the other 1387 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 Containerport 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 (0.1.0) reached the registry 4 days 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, Docker on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

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MCP server for terminal commands, file operations, and process management

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Cloudflare MCP

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Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
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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.

containerport

containerport is a small MCP server and CLI for everyday Docker container work. It is a clean-room rebuild of a defined core subset of container operations — ten tools that map directly onto the Docker CLI: list, inspect, run, start, stop and remove containers, list and pull images, read container logs, and list volumes.

It is deliberately not Docker's MCP catalog/toolkit gateway. There is no compose support, no image building, no network or swarm management, no registry authentication, no exec-into-container, and no catalog/gateway tooling — just the container operations an agent reaches for most, executed honestly through the host's docker binary.

Every call is built as an argument array and run with execFile semantics — never a shell string — so image names, environment values and ports cannot be reinterpreted as shell syntax. A command passed to run-container runs through the container's own sh -c, not a host shell. The executor is injectable, which is how the test suite verifies the exact argument arrays with a fake.

The host needs a working docker CLI. When docker is absent, calls fail honestly with the underlying spawn error (ENOENT) instead of a fabricated result. The published container image bundles no docker binary: it expects a host executor (for example a mounted Docker socket workflow) and says so in its Dockerfile.

Install

npx @reneturcios/containerport list-containers --all

docker run -i ghcr.io/cloudcorprecords/containerport

CLI

containerport list-containers [--all]

containerport inspect-container containerport run-container [--name n] [--port 8080:80] [--env KEY=val] [--command "echo hi"] containerport start-container containerport stop-container containerport remove-container [--force] containerport list-images containerport pull-image containerport get-container-logs [--tail 100] containerport list-volumes containerport --version

Exit codes: 0 success, 1 docker error, 2 usage error.

MCP server

npx -y @reneturcios/containerport mcp
{

"mcpServers": { "containerport": { "command": "npx", "args": ["-y", "@reneturcios/containerport", "mcp"] } } }

Tools
ToolInputWhat it does
list_containersall (boolean, optional)docker ps [--all] --format json, parsed.
inspect_containercontainer_id (required)docker inspect, single document.
run_containerimage (required), name, ports[], env[], commanddocker run -d, returns the new container id.
start_containercontainer_id (required)docker start.
stop_containercontainer_id (required)docker stop.
remove_containercontainer_id (required), forcedocker rm [-f].
list_images—docker images --format json, parsed.
pull_imageimage (required)docker pull.
get_container_logscontainer_id (required), taildocker logs [--tail n].
list_volumes—docker volume ls, parsed driver/name pairs.

Executor failures — a missing docker binary, a daemon error, a nonexistent container — are reported as tool errors carrying the underlying message.

Development

npm install

npm run build npm test npm run dev

Tests run entirely on a fake executor: exact argument arrays, output parsing, and error propagation. No live Docker daemon is touched.

License

MIT — see LICENSE.

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