# x64dbg

> Use this tool when you need to control a debugger through natural language conversations, simplifying dynamic analysis tasks such as executing console commands, checking debugging status, and retrieving module information. It solves problems related to manual debugger operation, providing an interface for AI assistants to send HTTP requests and receive outputs. The tool is ideal for use cases where automated debugging and analysis are required, with inputs including console commands and HTTP requests, and outputs including module lists and memory base addresses.

Canonical page: https://skillsregistry.net/skills/wasdubya-x64dbg  
JSON: https://api.skillsregistry.net/v1/skills/wasdubya-x64dbg

## Description

x64dbgMCP is a plugin for x64dbg that implements the Model Context Protocol, enabling AI assistants like Claude to interact with the debugger through HTTP requests. The plugin currently supports four core functions from the x64dbg SDK: executing console commands, checking if debugging is active, retrieving module lists, and finding memory base addresses. Developed by Wasdubya as their first repository, it aims to simplify dynamic analysis by allowing users to control x64dbg through natural language conversations with LLMs. The implementation includes both a C++ plugin component and a Python client script that bridges Claude Desktop with the debugger.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wasdubya-x64dbg)
- **Repository:** <https://github.com/wasdubya/x64dbgmcp>

## 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": "wasdubya-x64dbg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wasdubya-x64dbg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wasdubya-x64dbg/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
