# IDA-YES-MCP Export Plugin

> Use this tool when you need to export decompiled C code from IDA Pro for in-depth analysis, solving problems like code comprehension and reverse engineering. It takes IDA Pro decompiled code as input and outputs structured, chunked files with function indexes, line number mapping, and other relevant data. Ideal for use alongside ida-pro-mcp, this plugin streamlines static code analysis and complements real-time query capabilities.

Canonical page: https://skillsregistry.net/skills/gh-nen9ma0-ida-yes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gh-nen9ma0-ida-yes-mcp

## Description

IDA Pro plugin that exports decompiled C code into chunked files optimized for analysis alongside ida-pro-mcp. Creates structured output with function indexes, line number mapping, strings, imports, exports, and CLAUDE.md guidance. Supports resume functionality and batch processing. Designed to complement ida-pro-mcp by providing static exports while leaving real-time queries to MCP. Written in Python for IDA Pro 8.3+.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-nen9ma0-ida-yes-mcp)
- **Repository:** <https://github.com/nen9ma0/ida-yes-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": "gh-nen9ma0-ida-yes-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-nen9ma0-ida-yes-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-nen9ma0-ida-yes-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
