# x64dbg-mcp-server

> x64dbg-mcp-server — duty1g-x64dbg-mcp-server. Use this tool when you need to remotely control and automate x64dbg debugging sessions over HTTP. It solves problems related to programmatically interacting with the debugger, such as setting breakpoints and reading memory, by exposing its functionality to MCP-compatible AI assistants. The tool takes MCP commands as input and outputs debugger responses, making it ideal for use cases that require automated debugging and reverse engineering.

Canonical page: https://skillsregistry.net/skills/duty1g-x64dbg-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/duty1g-x64dbg-mcp-server

## Description

x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more.  Built with Zig — zero dependencies, single-binary output, cros

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/duty1g/x64dbg-mcp-server)

## 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": "duty1g-x64dbg-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/duty1g-x64dbg-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/duty1g-x64dbg-mcp-server/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
