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Guard

by codapultversion 0.13.3i★ –iRuns on your computer
Registry nameio.github.codapult/guard

Install

Overview

Description from the maker (original English)

Local-first architecture guardrails and project context for JS/TS AI coding agents.

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": {
    "guard": {
      "command": "npx",
      "args": [
        "-y",
        "@codapult/guard"
      ]
    }
  }
}

Run this in your terminal

claude mcp add guard -- npx -y @codapult/guard

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "guard": {
      "command": "npx",
      "args": [
        "-y",
        "@codapult/guard"
      ]
    }
  }
}

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

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 codapult, 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 32371 servers in this category
  • Published to the registry more recently than 89% of the other 32371 servers in this category
  • Basic checks equal to or better than 100% of the other 32371 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 Guard 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 (0.13.3) 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 on your computer.

What can I use instead?

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

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

DepTime

by cschmertz

What changed in a Python library, in which release, and what replaces it. Answered locally.

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.

@codapult/guard

Architecture guardrails for AI-assisted development

Codapult Guard helps teams preserve the architecture that makes their project work as it changes. It maps a JavaScript or TypeScript codebase, lets the team approve project-specific boundaries, and checks future changes locally and in CI. AI agents can use the same project context and verification results as developers.

Catch project-specific regressions

A type checker can confirm that code is valid TypeScript. It cannot know that this project requires client components to stay away from persistence modules. Once the team approves that boundary, Guard can detect a violating import in changed files and show which rule was triggered.

Project boundary:  Client → Server Action → Service → Repository → Database

Possible regression: Client ─────────────────────────────────────→ Database

Guard discovers the architecture in the repository; it does not prescribe one universal structure or activate proposed rules without approval.

Get started

Requirements: Node.js >=20.19 and a JavaScript or TypeScript project.

# pnpm

pnpm add -D @codapult/guard pnpm exec codapult-guard init

npm

npm install --save-dev @codapult/guard npx codapult-guard init

Review the generated project model, proposed rules, contracts, and baseline under .codapult/guard/ before relying on the results. Then run Guard's architecture checks:

pnpm exec codapult-guard verify --no-project-checks --tools off

verify can run your configured project checks and detected adapters. The flags above limit this run to Guard's built-in checks. With npm, run npx codapult-guard verify --no-project-checks --tools off. See the complete guide for initialization and daily workflows.

Use Guard with an AI agent

Install a managed instruction block for your agent so it knows when to load Guard context and run verification:

pnpm exec codapult-guard install-agent codex

Supported hosts and MCP setup are in the AI-agent integration guide and host integration guides.

The MCP server uses host-managed local stdio, with no network listener or application-level authentication. The host and operating system control process access and workspace permissions; see the security model.

Choose a GitHub setup

Choose a preset from the existing workflow templates and follow only the hosting steps for that level of protection. Most projects can start with standard PR checks.

PresetUse it whenGuide
PR checksYou want Guard findings and a required check on ordinary pull requests.GitHub PR checks
Trusted PR verificationThe Guard check must come from a protected workflow source, including for fork PRs.Trusted PR setup
Merge queueYour repository merges through a GitHub merge queue.Merge queue setup

If you are unsure, use PR checks first. It is useful CI feedback, but its workflow lives in the project being checked and can be changed by a pull request. Choose trusted verification when the check itself must be protected from that change.

What Guard does

  • Learns project-specific structure, dependencies, boundaries, and existing findings.
  • Checks approved architecture rules and contracts without imposing a universal architecture.
  • Shows change impact and prepares bounded, redacted context for AI review.
  • Runs configured project checks and adapters when enabled; it does not replace them.
  • Produces deterministic CLI, JSON, and SARIF results for local use and CI.

Guard is local-first and does not call an LLM. The AI host owns model access, edits, and its repair loop. Guard complements TypeScript, ESLint or Biome, tests, SAST, and dependency scanners; it does not replace them.

Documentation

  • GitHub setup presets — choose and configure the CI level you need.
  • Complete Guard guide — commands, policy, results, security, and advanced workflows.
  • AI-agent integration — managed instructions and MCP workflow.
  • Host integrations — Codex, Cursor, Claude Code, Copilot, Gemini CLI, and generic MCP clients.
  • Policy mutation controls — approval and protected policy behavior.
  • Extensions — adapters, output formats, and integration boundaries.

For contributors

Maintainer checks and project fixture coverage are documented in the fixture guide and release guide.

More from Codapult

Starting a SaaS from scratch? Codapult is a production-ready Next.js SaaS foundation built for AI-assisted development, with modular architecture, built-in AI, MCP context, and source code under your control.

License

MIT. See LICENSE.

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