# MCP Debugger

> Use this tool when you need to debug multi-language programs, such as Python, JavaScript/Node.js, and Rust, to identify and resolve issues using features like breakpoints, variable inspection, and stack traces. It enables step-through debugging via the Debug Adapter Protocol, providing detailed insights into program execution. Ideal for troubleshooting and testing AI-integrated applications, this debugger simplifies the debugging process for complex programs.

Canonical page: https://skillsregistry.net/skills/debugmcp-mcp-debugger  
JSON: https://api.skillsregistry.net/v1/skills/debugmcp-mcp-debugger

## Description

Enables AI agents to perform step-through debugging of Python, JavaScript/Node.js, and Rust programs using the Debug Adapter Protocol, with support for breakpoints, variable inspection, and stack traces.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vtn7qj7t9q)
- **Repository:** <https://github.com/debugmcp/mcp-debugger>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "debugmcp-mcp-debugger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/debugmcp-mcp-debugger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/debugmcp-mcp-debugger/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt