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Dmcps

by RMAAPKversion 1.0.0i★ –i–
Registry nameio.github.thealidev/dmcps

Install

Overview

Description from the maker (original English)

DMCPS: Highly secure, isolated MCP server environment giving AI agents sandboxed shell access.

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: –
  • Transport:
  • Category: Other

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

The maker has not listed install details in the registry. See the maker’s README below.

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

  • ! Caution

    Maker matches the repo

    The publisher (thealidev) is not the repo owner (RMAAPK); someone else may have listed it

  • … 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 32564 servers in this category
  • Published to the registry more recently than 56% of the other 32564 servers in this category
  • Basic checks equal to or better than 31% of the other 32564 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 Dmcps safe?

It passed 0 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 (1.0.0) reached the registry 31 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.

What can I use instead?

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

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

Tools MCP

by First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

Runs on your computerUpdated 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.

🛡️ DMCPS (Docker Model Context Protocol Secured)

DMCPS V3 is the ultimate enterprise-grade sandbox for AI coding agents, completely re-engineered to run natively on Google Cloud Run. By utilizing Google's serverless container infrastructure, you can give AI agents (like Claude Desktop, Cursor, or Gemini) full terminal and filesystem execution without ever risking your host machine.

🌟 Hackathon Exclusive Features

  1. Native Google Cloud Run Architecture: Zero-friction automated deployments via cloudbuild.yaml. Designed from the ground up to utilize Google's serverless containers.
  2. Product Hunt PKCE OAuth Flow: The web dashboard is secured using Product Hunt's official API. Authenticate your makers and manage your AI sandbox instantly using your Product Hunt account.
  3. Enterprise Open Source (BSL-1.1): Codebase is fully open for developers to inspect the kernel-level protections and deploy to their own GCP environment, while legally protecting commercial/enterprise use.
  4. Kernel-Level Locks: Non-root Alpine execution with dropped Linux capabilities (cap_drop: ALL).
  5. Absolute Root Illusion: The AI is assigned a direct root user within the disposable container, tricking it into feeling absolute freedom without any "Permission denied" frustrations, keeping it from getting stuck in looping errors.

🚀 Getting Started on Google Cloud

Deploying DMCPS V3 is incredibly simple using Google Cloud Build.

  1. Navigate to Cloud Build Triggers in your Google Cloud Console.
  2. Click Connect Repository and link this GitHub repository.
  3. Set the trigger to watch the v3-beta branch.
  4. Point the configuration to the included /cloudbuild.yaml file.
  5. Click Run.

Google Cloud Build will automatically build the container, push it to your Container Registry, and deploy it as a highly scalable Google Cloud Run service!

🔒 Security & Dashboard Whitelisting

This is built as a robust Node.js/Express backend daemon, featuring a "military-grade" secured dashboard to strictly manage which directories the AI is allowed to touch.

  • Strict Whitelisting: The AI cannot read, write, or execute commands outside of directories explicitly whitelisted via the web dashboard. (Directory traversal attempts like ../ are mathematically blocked).
  • Product Hunt Integration: Secure login restricted to Product Hunt makers using PKCE OAuth 2.0 flow.
  • Auto-Generated API Keys: Connect to your MCP server using a dynamically generated Bearer token to ensure only authorized agents can execute tools on your server.
  • Pre-installed AI Toolkit: Foundational tools (git, python3, curl, bash, make, jq) are pre-baked into the image so the AI is immediately ready to work.

🛠️ MCP Tools Exposed to the AI

Once authenticated and restricted to a whitelisted folder, the AI has access to:

  1. ph_graphql_query - Run deep analytics queries against the Product Hunt API.
  2. read_file - Read text from a file.
  3. write_file - Write content to a file.
  4. list_directory - List all files in a folder.
  5. run_shell_command - Execute terminal commands strictly within the isolated workspace.

🧪 Local Testing

You can easily test the entire stack locally or on an AWS instance before pushing to Google Cloud Run:

git clone -b v3-beta https://github.com/RMAAPK/dmcps.git

cd dmcps git checkout v3-beta docker compose up -d --build

*Note: Ensure you port-forward to `https://localhost:5000` to properly test the Product Hunt OAuth Redirect URI.*
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