ida-pro-mcp: AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP

by mrexodia · MCP Server · ★ 12.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: AI Reverse Engineering Tools

How to install ida-pro-mcp

pip install https://github.com/mrexodia/ida-pro-mcp/archive/refs/heads/main.zip

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiaiagentbinary-analysisida-pluginida-promcpmcp-servermodelcontextprotocolreverse-engineering

Quick Facts

Stars12,351
Forks1,460
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70/100
Open Issues50
Last Updated2026-09-26
Created2025-03-25
Platformsmcp, python
Est. Tokens~17k

About ida-pro-mcp

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.

Compatible Skills

These tools work well together with ida-pro-mcp for enhanced workflows:

  • IDAssistMCP — semantic(0.63)+rare_topics+same_lang+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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