# IDA Pro

> Use this tool when you need to automate reverse engineering and binary analysis tasks, or integrate Large Language Models with IDA Pro's database for enhanced analysis capabilities. It solves problems related to manual binary analysis and enables programmatic searching and reading of IDA databases. The tool accepts IDA database inputs and outputs analysis results, ideal for use cases requiring automated binary file analysis and reverse engineering workflows.

Canonical page: https://skillsregistry.net/skills/mx-iris-ida-pro  
JSON: https://api.skillsregistry.net/v1/skills/mx-iris-ida-pro

## Description

A Model Context Protocol server for programmatically reading and searching IDA databases via Large Language Models. Developed by Mx-Iris, this early-stage project aims to provide tools for reverse engineering and binary analysis automation, with a focus on enabling LLM interaction with IDA Pro's database. The server is currently under active development and will eventually support a more streamlined workflow for analyzing binary files.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mx-iris-ida-pro)
- **Repository:** <https://github.com/mxiris-reverse-engineering/ida-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": "mx-iris-ida-pro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mx-iris-ida-pro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mx-iris-ida-pro/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