# ida-headless-mcp

> ida-headless-mcp — zboralski-ida-headless-mcp. Use this tool when you need to perform automated binary analysis without a graphical interface, leveraging IDA Pro's capabilities via the Model Context Protocol to analyze and understand binary code. It solves problems related to reverse engineering, malware analysis, and software vulnerability research, providing outputs such as disassembly, control flow, and data flow information. Ideal for use cases where automated, headless analysis is required, such as in continuous integration pipelines or large-scale binary analysis tasks.

Canonical page: https://skillsregistry.net/skills/zboralski-ida-headless-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zboralski-ida-headless-mcp

## Description

Headless IDA Pro binary analysis via Model Context Protocol

## Trust

- **Trust score (0–1):** 0.85
- **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/zboralski/ida-headless-mcp)

## 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": "zboralski-ida-headless-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zboralski-ida-headless-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zboralski-ida-headless-mcp/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