# x64dbg

> Use this tool when you need to control and interact with the x64dbg debugger for tasks such as debug control, disassembly, and memory analysis. It solves problems related to reverse engineering, bug fixing, and software testing by providing a comprehensive set of 92 tools through a C++ plugin and Rust MCP server interface. With inputs including debugger commands and outputs including execution results, use x64dbg in contexts where low-level system control and inspection are required.

Canonical page: https://skillsregistry.net/skills/yynps737-x64dbg  
JSON: https://api.skillsregistry.net/v1/skills/yynps737-x64dbg

## Description

x64dbg provides AI agents with full control over the x64dbg debugger through 92 tools covering debug control, disassembly, registers, memory, breakpoints, threads, modules, stack, symbols, search, analysis, patches, tracing, exceptions, handles, control flow, PE parsing, and raw command execution. Implemented as a C++ plugin inside x64dbg with a Rust MCP server communicating via HTTP.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yynps737-x64dbg)
- **Repository:** <https://github.com/yynps737/x64dbg-hive>

## 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": "yynps737-x64dbg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yynps737-x64dbg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yynps737-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