# HopperPyMCP

> Use this tool when you need to analyze binary files and perform reverse engineering tasks, as it enables AI assistants to disassemble procedures, generate call graphs, and search strings through natural language interactions. It solves problems related to binary analysis, decompilation, and reference tracking, providing comprehensive capabilities for managing complex reverse engineering tasks. It takes binary files as input and outputs detailed analysis results, making it ideal for use cases involving malware analysis, software debugging, and security research.

Canonical page: https://skillsregistry.net/skills/dflatline-hopperpymcp  
JSON: https://api.skillsregistry.net/v1/skills/dflatline-hopperpymcp

## Description

A FastMCP server plugin for the Hopper disassembler that enables AI assistants to analyze binary files, disassemble procedures, generate call graphs, search strings, and manage reverse engineering tasks. Provides comprehensive binary analysis capabilities including decompilation, annotation tools, and reference tracking through natural language interactions.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yqil4or2wb)
- **Repository:** <https://github.com/dflatline/HopperPyMCP>

## 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": "dflatline-hopperpymcp"
    }
  }
}
```

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