# BinAssistMCP

> BinAssistMCP — jtang613-binassistmcp. Use this tool when you need to leverage AI-powered reverse engineering capabilities in Binary Ninja, enabling seamless integration with Large Language Models (LLMs) to analyze binaries and expose insights through the Model Context Protocol. It solves problems related to efficient binary analysis, automated reverse engineering, and enhanced threat detection. By providing a bridge between Binary Ninja and LLMs, BinAssistMCP accepts binary files and analysis requests as inputs and outputs actionable insights and analysis results.

Canonical page: https://skillsregistry.net/skills/jtang613-binassistmcp  
JSON: https://api.skillsregistry.net/v1/skills/jtang613-binassistmcp

## Description

A bridge between Binary Ninja and LLMs for AI-powered reverse engineering, exposing binary analysis tools through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djrqj9yz6q)
- **Repository:** <https://github.com/symgraph/BinAssistMCP>

## 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": "jtang613-binassistmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jtang613-binassistmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jtang613-binassistmcp/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