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

BugProof

by sidinsearchversion 1.6.5i★ –iRuns on your computer
Registry nameio.github.sidinsearch/bugproof

Install

Overview

Description from the maker (original English)

Capture, replay, and debug failures with portable, executable bug artifacts

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": {
    "bugproof": {
      "command": "npx",
      "args": [
        "-y",
        "bugproof"
      ]
    }
  }
}

Run this in your terminal

claude mcp add bugproof -- npx -y bugproof

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "bugproof": {
      "command": "npx",
      "args": [
        "-y",
        "bugproof"
      ]
    }
  }
}

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": {
    "bugproof": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "bugproof"
      ]
    }
  }
}

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 sidinsearch, 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 32433 servers in this category
  • Published to the registry more recently than 11% of the other 32433 servers in this category
  • Basic checks equal to or better than 100% of the other 32433 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 BugProof 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 (1.6.5) reached the registry 5 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, Symantec Cloud DLP AIops

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

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.

BugProof

Executable bugs, not bug reports.

Capture a failing command into a portable .bug artifact that anyone can replay on their machine — same code, same env, same failure. Cryptographically signable. Cross-platform. Zero containers required.

https://github.com/user-attachments/assets/2315cfee-3ccf-40d7-830e-3a3d23731ab8



Why BugProof

"Works on my machine" is not a bug report.

Filing a backend or CLI bug today usually looks like this:

  • A screenshot of a terminal
  • A copy-pasted stack trace
  • A list of *probably* relevant files
  • A best-guess description of how the reporter ran the thing

Then the maintainer spends hours reconstructing the failure: matching versions, replicating the env, finding the right command, guessing at config. Most of that time is wasted.

BugProof captures the bug — not the description of it. One command produces a single .bug file containing the source snapshot, the exact command, the environment schema, the failure fingerprint, and replay metadata. Another developer runs bugproof replay bug.bug and reproduces the failure deterministically.

Think of it as Git for bugs: a portable, content-addressable, verifiable artifact that turns "can you reproduce?" into a one-liner.


Highlights

  • One-command capture. Wrap any failing command with bugproof capture -- and ship the result.
  • Deterministic replay. Source, env, command, and fingerprint travel together. Verdict is automatic.
  • No Docker. No daemon. Uses native OS primitives — Linux namespaces, Windows Job Objects, macOS Seatbelt.
  • Cryptographic signatures. Ed25519 sign/verify built in. Tamper-evident artifacts via bugproof keygen / --sign / verify.
  • Self-healing replay. --self-heal auto-installs missing npm/pip deps in the sandbox and retries.
  • Best-effort credential redaction. Env vars are scanned via pattern-matching + Shannon entropy. Known secret shapes (API keys, tokens, JWTs) are caught; low-entropy passwords and binary credentials may still leak.
  • Multi-language. Detects Node.js, Python, Ruby, Go, Rust, Java, C/C++, .NET, Kotlin build context automatically.
  • Cross-platform. Win ↔ Linux ↔ macOS replay, with command/env translation and architecture-mismatch guardrails.

Install

npm install -g bugproof

Requirements: Node.js 18+ and Git. Optional language toolchains (Python, Java, Go, Rust, …) are only needed if your captured command uses them.

Run a one-off health check after install:

bugproof doctor

GitHub Action — Capture CI Failures Automatically

Add a single step to any GitHub Actions workflow to auto-capture flaky/failing commands as .bug artifacts.

- name: Capture flaky test

uses: sidinsearch/BugProof/.github/actions/bugproof-action@main with: command: 'npm test -- --run flaky-suite' name: flaky-test-failure timeout: 300000

How it works: The action installs bugproof from npmjs.org (npm install -g bugproof) → wraps your command with bugproof capture → on failure, the .bug artifact is uploaded to the Actions run. Developers download and repro locally with bugproof replay.

Use cases:

  • Flaky CI tests: Capture the exact failure for local debugging
  • Cross-platform failures: A test passes on Linux CI but fails on macOS — capture the failure on both and diff
  • Intermittent crashes: bugproof capture -- node app.js bundles the crash state, env, and source

All inputs:

InputRequiredDefaultDescription
command✅—Command to capture (e.g. npm test)
name—bug_ Artifact name
timeout—300000Command timeout in ms
skip-secrets—falseSkip env secret scanning
upload-artifact—trueUpload .bug file as Actions artifact
node-version—24Node.js version for bugproof

The action lives at .github/actions/bugproof-action/action.yml in this repo. Reference it via uses: sidinsearch/BugProof/.github/actions/bugproof-action@main. BugProof is always installed from npmjs.org — no GitHub Packages token needed.


MCP Server — AI-Agent Integration

BugProof ships a built-in MCP (Model Context Protocol) server that exposes 10 tools plus Resources and Prompts for AI agents. Listed on the Official MCP Registry as io.github.sidinsearch/bugproof.

Setup
Claude Code

Add to ~/.claude/settings.json:

{

"mcpServers": { "bugproof": { "command": "npx", "args": ["-y", "bugproof", "mcp"] } } }

Cursor

Add to Cursor MCP config (Settings → Features → MCP):

{

"mcpServers": { "bugproof": { "command": "npx", "args": ["-y", "bugproof", "mcp"] } } }

Continue.dev

Add to ~/.continue/config.json:

{

"experimental": { "mcpServers": { "bugproof": { "command": "npx", "args": ["-y", "bugproof", "mcp"] } } } }

With bugproof installed globally

If you already have bugproof globally (npm install -g bugproof), omit npx -y:

{

"mcpServers": { "bugproof": { "command": "bugproof", "args": ["mcp"] } } }

No separate MCP install needed. npx -y bugproof mcp auto-downloads from npmjs.org and starts the server over stdio.

Tools
ToolDescriptionWhen an AI agent would use it
captureRun a command, capture as .bug artifact"Capture this failing test and tell me what changed"
replayReplay a .bug file, return verdict"Replay the artifact from CI and confirm it still fails"
inspectShow artifact metadata"What's in this .bug file without running it?"
diffCompare two artifacts"Compare the CI capture with my local capture — what's different?"
doctorCheck sandbox capabilities"Does this machine support full sandbox isolation?"
shareShare artifact via GitHub Gist"Share this bug with my team"
pullDownload artifact from Gist"Pull the bug artifact from this URL"
watchAuto-capture on command failure"Watch npm test and capture if it fails"
listList .bug artifacts in directory"Show me all bug artifacts in this project"
cleanRemove .bug artifacts"Clean up old bug artifacts from this directory"
Resources

AI agents can read .bug artifact contents directly via resource URIs:

  • bugproof://artifact/{path} — Read the raw .bug artifact (base64-encoded ZIP)
Prompts

Pre-built workflows for common AI agent tasks:

PromptDescription
capture-failureGuide to capture a failing command as a .bug artifact
replay-and-analyzeReplay an artifact and analyze the root cause
compare-bugsCompare two artifacts to find differences
Example AI session
User:   Capture the failing test and tell me what went wrong

Agent: [calls bugproof capture -- npm test -- --run flaky-suite] [calls bugproof inspect on the result] "The test failed with a timeout. Fingerprint matches a known Redis-unreachable pattern. Here's the captured stderr..."

The MCP server communicates over stdio (JSON-RPC 2.0). It shells out to the local bugproof CLI with --json output and returns structured results with both human-readable summaries and raw data. If bugproof isn't installed, npx -y fetches it from npmjs.org — no global install required.


AI Agent Skill

BugProof ships a distributable AI Agent Skill that teaches AI coding agents (Claude Code, Cursor, OpenCode, OpenClaw, Gemini CLI, GitHub Copilot, and others) how to use BugProof effectively. The skill follows the open Agent Skills standard — build once, use across any compatible agent.

What the Skill Does

When loaded, the skill gives AI agents complete knowledge of:

  • All 14 BugProof commands with flags and examples
  • Capture, replay, diff, and inspection workflows
  • Cross-platform replay patterns
  • MCP server configuration
  • Best practices for naming, security, and artifact management
  • 8 real-world examples (Node.js, Python, Go, Java, CI/CD, cross-platform, flaky tests)
How AI Agents Use It

Agents auto-load the skill when users mention:

  • "capture this bug"
  • "replay the bug"
  • "reproduce this failure"
  • "share this bug"
  • ".bug file"
  • "works on my machine"
  • "executable bug"

Or invoke directly: /bugproof

Install the Skill
Option 1: Clone This Repository
# Clone the BugProof repository

git clone https://github.com/sidinsearch/BugProof.git

Copy the skill to your agent's skills directory

Claude Code:

cp -r BugProof/skills/bugproof ~/.claude/skills/

OpenCode:

cp -r BugProof/skills/bugproof ~/.config/opencode/skills/

OpenClaw:

cp -r BugProof/skills/bugproof ~/.agents/skills/

Cursor:

cp -r BugProof/skills/bugproof ~/.cursor/skills/

Option 2: Download the Skill Directly
# Download just the skill

curl -L https://github.com/sidinsearch/BugProof/archive/refs/heads/main.tar.gz | tar xz cp -r BugProof-main/skills/bugproof ~/.claude/skills/

Skill Structure
skills/bugproof/

├── SKILL.md # Main instructions (required) ├── reference/ │ └── commands.md # Full command reference └── examples/ └── usage-examples.md # Real-world usage examples

Supported AI Agents
AgentSkill Directory
Claude Code~/.claude/skills/bugproof/
OpenCode~/.config/opencode/skills/bugproof/
OpenClaw~/.agents/skills/bugproof/
Cursor~/.cursor/skills/bugproof/
Gemini CLI~/.gemini/skills/bugproof/
GitHub Copilot.github/skills/bugproof/

The skill follows the open Agent Skills specification — any agent that supports the standard can use it.


60-Second Quick Start

# 1. Reproduce a failure

$ npm test FAIL Tests failed because Redis was unreachable.

2. Capture it

$ bugproof capture -- npm test ✔ Artifact captured! Path ./bug_1778049738215.bug Files 42 files (28.4 KB) Fingerprint sha256:c8b3...

3. Share the file (Slack, email, gist, attachment...)

4. Anyone replays it on their machine

$ bugproof replay bug_1778049738215.bug ✔ REPRODUCTION CONFIRMED Exit code exit 1 (match) Verdict Reproduction confirmed (exact fingerprint match)

Optional flow:

$ bugproof inspect bug.bug        # peek at the contents

$ bugproof diff old.bug new.bug # what changed between two captures $ bugproof share bug.bug # publish as a GitHub Gist

 

Commands

BugProof ships 14 commands. Every command supports --help and --json for machine-readable output.

CommandPurpose
bugproof captureRun a command, record everything, produce a .bug artifact
bugproof replayRe-execute an artifact, compare against expected fingerprint
bugproof watchTransparently wrap a command — capture *only* if it fails
bugproof inspectShow artifact contents (manifest, command, fingerprint, files)
bugproof diffSide-by-side comparison of two artifacts

| bugproof verify | Validate the Ed25519 signature on a .bug (standalon

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

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