No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mrexodia · MCP Server · ★ 12.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ida-pro-mcp safe to install? View the security audit →
IDA Pro MCP Simple MCP Server to allow vibe reversing in IDA Pro. https://github.com/user-attachments/assets/6ebeaa92-a9db-43fa-b756-eececce2aca0 The binaries and prompt for the video are available in the mcp-reversing-dataset repository. Prerequisites Python (3.11 or higher) Use to switch to the newest Python version IDA Pro (8.3 or higher, 9 recommended), IDA Free is not supported Supported MCP Client (pick one you like) Amazon Q Developer CLI Augment Code Claude Claude Code Cline Codex Copilot CLI Crush Cursor Gemini CLI Kilo Code Kiro LM Studio Opencode Qodo Gen Qwen Coder Roo Code Trae VS Code [VS Code Insiders](
| Stars | 12,214 |
| Forks | 1,448 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.2075632440197/100 |
| Open Issues | 45 |
| Last Updated | 2026-09-21 |
| Created | 2025-03-25 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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ida-pro-mcp is AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.. It is categorized as a MCP Server with 12.2k GitHub stars.
ida-pro-mcp is primarily written in Python. It covers topics such as ai, aiagent, binary-analysis.
You can find installation instructions and usage details in the ida-pro-mcp GitHub repository at github.com/mrexodia/ida-pro-mcp. The project has 12.2k stars and 1448 forks, indicating an active community.
ida-pro-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ida-pro-mcp on Agent Skills Hub include ghidra-mcp, fastapi_mcp, mcp-use. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: