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 zboralski · MCP Server · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ida-headless-mcp safe to install? View the security audit →
IDA Headless MCP Server Headless IDA Pro binary analysis via Model Context Protocol. Go orchestrates multi-session concurrency while Python workers handle IDA operations. Architecture Key features: Multi-session concurrency via process isolation 52 MCP tools for binary analysis Automatic session timeouts (4 hours default, configurable) Paginated results with configurable limit (default 1000) Il2CppDumper metadata import for Unity games unflutter metadata import for Flutter/Dart apps Prerequisites IDA Pro 9.0+ or IDA Essential 9.2+ idalib: install and activate: See IDA as a Library documentation. Go 1.21+ with protoc tools: Python 3.10+ with dependencies: Optional: [Il2CppDumper](https
| Stars | 160 |
| Forks | 17 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.7368235025194/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-14 |
| Created | 2025-11-13 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~15k |
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ida-headless-mcp is Headless IDA Pro binary analysis via Model Context Protocol. It is categorized as a MCP Server with 160 GitHub stars.
ida-headless-mcp is primarily written in Python. It covers topics such as claude, claude-code, codex.
You can find installation instructions and usage details in the ida-headless-mcp GitHub repository at github.com/zboralski/ida-headless-mcp. The project has 160 stars and 17 forks, indicating an active community.
ida-headless-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ida-headless-mcp on Agent Skills Hub include Overture, ask-user-questions-mcp, jadx-mcp-server. 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: