# Debug-MCP

> Use this tool when you need to interactively debug Python code with precision and control. Debug-MCP solves problems of identifying and resolving errors in Python applications by providing features like breakpoints, step execution, and variable inspection through the Debug Adapter Protocol (DAP). It is ideal for use cases requiring in-depth code analysis and error resolution, accepting Python code as input and producing debugged code as output.

Canonical page: https://skillsregistry.net/skills/kaina3-debug-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kaina3-debug-mcp

## Description

Enables AI assistants to perform interactive Python debugging with breakpoints, step execution, and variable inspection using the Debug Adapter Protocol (DAP) through an MCP server interface.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xwiu8931sp)
- **Repository:** <https://github.com/Kaina3/Debug-MCP>

## 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": "kaina3-debug-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaina3-debug-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaina3-debug-mcp/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