Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Debugger

by Digital-Defianceversion 1.1.8i★ –iRuns on your computer
Registry nameio.github.Digital-Defiance/mcp-debugger

Install

Overview

Description from the maker (original English)

Node.js and TypeScript debugging with 25+ tools for AI 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: 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": {
    "debugger": {
      "command": "npx",
      "args": [
        "-y",
        "@ai-capabilities-suite/mcp-debugger-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add debugger -- npx -y @ai-capabilities-suite/mcp-debugger-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "debugger": {
      "command": "npx",
      "args": [
        "-y",
        "@ai-capabilities-suite/mcp-debugger-server"
      ]
    }
  }
}

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": {
    "debugger": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ai-capabilities-suite/mcp-debugger-server"
      ]
    }
  }
}

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 Digital-Defiance, 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 1390 servers in this category
  • Published to the registry more recently than 2% of the other 1390 servers in this category
  • Basic checks equal to or better than 100% of the other 1390 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 MCP Debugger 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 (1.1.8) reached the registry 11 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: 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

by github

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
Install

Desktop Commander

by wonderwhy-er

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

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

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

MCP ACS Debugger Server

🔗 Repository

This package is now maintained in its own repository: [https://github.com/Digital-Defiance/mcp-debugger-server](https://github.com/Digital-Defiance/mcp-debugger-server)

This repository is part of the AI Capabilitites Suite on GitHub.

An enterprise-grade Model Context Protocol (MCP) server that provides comprehensive debugging capabilities for Node.js and JavaScript applications via Chrome DevTools Protocol. This server enables AI agents (Kiro, Amazon Q, GitHub Copilot) to interactively debug Node.js code with 25+ specialized tools, offering everything from basic breakpoint management to advanced CPU/memory profiling and hang detection. For multi-language debugging (Python, Java, Go, etc.), use the VS Code extension which leverages Debug Adapter Protocol.

🎯 Key Features

Core Debugging Capabilities
  • Node.js/JavaScript Support: Debug Node.js applications and JavaScript code via Chrome DevTools Protocol
  • TypeScript Support: Full TypeScript debugging with source map resolution
  • Breakpoint Management: Set, remove, toggle, and list breakpoints with optional conditions, hit counts, and logpoints
  • Execution Control: Continue, step over, step into, step out, and pause execution with precise control
  • Variable Inspection: Inspect local and global variables, evaluate expressions, and watch variables with change detection
  • Call Stack Navigation: View and navigate through call stack frames with context switching
Advanced Features
  • Hang Detection: Detect infinite loops and hanging processes with configurable timeouts and sampling intervals
  • Source Map Support: Full source map support for debugging TypeScript and transpiled JavaScript with original source locations
  • Performance Profiling: CPU profiling, memory profiling, heap snapshots, and performance timeline tracking
  • Test Framework Integration: Debug Jest, Mocha, and Vitest tests
  • Session Management: Support for multiple concurrent debug sessions with complete isolation
  • Chrome DevTools Protocol: Direct integration with Node.js Inspector Protocol for low-level debugging
Enterprise Features
  • Observability: Structured logging, metrics collection, health check endpoints, and Prometheus metrics export
  • Security: Authentication, rate limiting, sensitive data masking, audit logging, and session timeout enforcement
  • Production Ready: Circuit breakers, retry logic with exponential backoff, graceful shutdown, and resource limits
  • Monitoring: Performance metrics, session recording, and comprehensive error tracking

📦 Installation

System Requirements
  • Node.js: >= 18.0.0
  • NPM: >= 8.0.0
  • Operating Systems: macOS, Linux, Windows
  • CPU Architectures: x64, arm64
Quick Start (NPM - Recommended)
# Install globally

npm install -g @ai-capabilities-suite/mcp-debugger-server

Verify installation

ts-mcp-server --version

Alternative Installation Methods
Using NPX (No Installation Required)
# Run directly without installing

npx @ai-capabilities-suite/mcp-debugger-server

Using Docker
# Pull and run the Docker image

docker pull digitaldefiance/mcp-debugger-server:latest docker run -d --name mcp-debugger digitaldefiance/mcp-debugger-server:latest

Or use docker-compose (see DOCKER-DEPLOYMENT.md)

docker-compose up -d

From Source
# Clone the repository

git clone https://github.com/digital-defiance/ai-capabilities-suite.git cd ai-capabilities-suite

Install dependencies

npm install

Build the packages

npx nx build @ai-capabilities-suite/mcp-debugger-core npx nx build @ai-capabilities-suite/mcp-debugger-server

Run the server

node packages/mcp-debugger-server/dist/src/cli.js

⚙️ Configuration

Kiro Configuration

Add to .kiro/settings/mcp.json:

{

"mcpServers": { "debugger": { "command": "ts-mcp-server", "args": [], "env": { "NODE_ENV": "production" }, "disabled": false, "autoApprove": [ "debugger_start", "debugger_set_breakpoint", "debugger_continue", "debugger_step_over", "debugger_inspect", "debugger_get_stack" ] } } }

Claude Desktop Configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "debugger": { "command": "ts-mcp-server", "args": [] } } }

VS Code Configuration

Add to .vscode/settings.json:

{

"mcp.servers": { "debugger": { "command": "ts-mcp-server", "args": [], "enabled": true } } }

Environment Variables

Optional environment variables for advanced configuration:

# Enable debug logging

DEBUG=mcp:*

Set custom timeout (milliseconds)

MCP_DEBUGGER_TIMEOUT=60000

Enable authentication

MCP_DEBUGGER_AUTH_TOKEN=your-secret-token

Enable rate limiting

MCP_DEBUGGER_RATE_LIMIT=100

Enable audit logging

MCP_DEBUGGER_AUDIT_LOG=true

🛠️ Available Tools

The MCP ACS Debugger Server provides 25 specialized tools organized into 8 categories:

Session Management
1. debugger_start

Start a new debug session with a Node.js process.

Parameters:

  • command (string, required): The command to execute (e.g., "node", "npm")
  • args (string[], optional): Command arguments (e.g., ["test.js"])
  • cwd (string, optional): Working directory for the process
  • timeout (number, optional): Timeout in milliseconds (default: 30000)

Example:

{

"command": "node", "args": ["app.js"], "cwd": "/path/to/project", "timeout": 30000 }

Response:

{

"status": "success", "sessionId": "session-123", "state": "paused", "pid": 12345 }

2. debugger_stop_session

Stop a debug session and cleanup all resources.

Parameters:

  • sessionId (string, required): The debug session ID

Example:

{

"sessionId": "session-123" }

Breakpoint Management
3. debugger_set_breakpoint

Set a breakpoint at a specific file and line number.

Parameters:

  • sessionId (string, required): The debug session ID
  • file (string, required): The file path (absolute or relative)
  • line (number, required): The line number (1-indexed)
  • condition (string, optional): Optional condition expression (e.g., "x > 10")

Example:

{

"sessionId": "session-123", "file": "/path/to/file.js", "line": 42, "condition": "count > 5" }

4. debugger_remove_breakpoint

Remove a breakpoint from the session.

Parameters:

  • sessionId (string, required): The debug session ID
  • breakpointId (string, required): The breakpoint ID to remove
5. debugger_toggle_breakpoint

Toggle a breakpoint between enabled and disabled states.

Parameters:

  • sessionId (string, required): The debug session ID
  • breakpointId (string, required): The breakpoint ID to toggle
6. debugger_list_breakpoints

Get all breakpoints for a debug session.

Parameters:

  • sessionId (string, required): The debug session ID

Response:

{

"status": "success", "breakpoints": [ { "id": "bp-1", "file": "/path/to/file.js", "line": 42, "condition": "x > 10", "enabled": true, "verified": true } ] }

Execution Control
7. debugger_continue

Resume execution until the next breakpoint or program termination.

Parameters:

  • sessionId (string, required): The debug session ID
8. debugger_step_over

Execute the current line and pause at the next line in the same scope.

Parameters:

  • sessionId (string, required): The debug session ID
9. debugger_step_into

Execute the current line and pause at the first line inside any called function.

Parameters:

  • sessionId (string, required): The debug session ID
10. debugger_step_out

Execute until the current function returns and pause at the calling location.

Parameters:

  • sessionId (string, required): The debug session ID
11. debugger_pause

Pause a running debug session.

Parameters:

  • sessionId (string, required): The debug session ID
Variable Inspection
12. debugger_inspect

Evaluate a JavaScript expression in the current execution context.

Parameters:

  • sessionId (string, required): The debug session ID
  • expression (string, required): The JavaScript expression to evaluate

Example:

{

"sessionId": "session-123", "expression": "user.name + ' ' + user.age" }

13. debugger_get_local_variables

Get all local variables in the current scope.

Parameters:

  • sessionId (string, required): The debug session ID
14. debugger_get_global_variables

Get global variables accessible from the current scope.

Parameters:

  • sessionId (string, required): The debug session ID
15. debugger_inspect_object

Inspect an object's properties with nested resolution.

Parameters:

  • sessionId (string, required): The debug session ID
  • objectId (string, required): The object ID from a previous inspection
  • maxDepth (number, optional): Maximum depth to traverse (default: 2)
Variable Watching
16. debugger_add_watch

Add an expression to the watch list.

Parameters:

  • sessionId (string, required): The debug session ID
  • expression (string, required): The expression to watch
17. debugger_remove_watch

Remove an expression from the watch list.

Parameters:

  • sessionId (string, required): The debug session ID
  • watchId (string, required): The watch ID (expression) to remove
18. debugger_get_watches

Get all watched expressions with their current values.

Parameters:

  • sessionId (string, required): The debug session ID
Call Stack
19. debugger_get_stack

Get the current call stack with function names and file locations.

Parameters:

  • sessionId (string, required): The debug session ID

Response:

{

"status": "success", "stack": [ { "function": "myFunction", "file": "/absolute/path/to/file.js", "line": 42, "column": 10 } ] }

20. debugger_switch_stack_frame

Switch the execution context to a specific stack frame.

Parameters:

  • sessionId (string, required): The debug session ID
  • frameIndex (number, required): The frame index (0 = top frame)
Hang Detection
21. debugger_detect_hang

Detect if a process hangs or enters an infinite loop.

Parameters:

  • command (string, required): The command to execute
  • args (string[], optional): Command arguments
  • cwd (string, optional): Working directory
  • timeout (number, required): Timeout in milliseconds
  • sampleInterval (number, optional): Sample interval for loop detection (default: 100ms)

Example:

{

"command": "node", "args": ["script.js"], "timeout": 5000, "sampleInterval": 100 }

Response (hung):

{

"status": "success", "hung": tr

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

Ask PopNx