# ida-pro-mcp-fusion

> ida-pro-mcp-fusion — rison1337-ida-pro-mcp-fusion. Use this tool when you need to enhance your IDA Pro workflow with AI-powered reverse-engineering capabilities, scalable multi-binary analysis, and persistent caching. It solves problems related to large-scale analysis, automation, and worker supervision, providing a robust interface for inputs such as binary files and outputs like detailed analysis reports. Ideal for use cases involving complex reverse-engineering tasks, malware analysis, and large-scale security research.

Canonical page: https://skillsregistry.net/skills/rison1337-ida-pro-mcp-fusion  
JSON: https://api.skillsregistry.net/v1/skills/rison1337-ida-pro-mcp-fusion

## Description

AI-powered MCP server for IDA Pro with Fusion enhancements. Provides persistent SQLite caching, multi-binary analysis, QiChuEntry integration, worker supervision, and scalable reverse-engineering workflows. Based on the mrexodia upstream with extensive extensions for automation and large-scale analysis.

## Trust

- **Trust score (0–1):** 0.14
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/elobwrbayz)
- **Repository:** <https://github.com/rison1337/ida-pro-mcp-fusion>

## 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": "rison1337-ida-pro-mcp-fusion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rison1337-ida-pro-mcp-fusion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rison1337-ida-pro-mcp-fusion/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