{"id":"ida-pro-mcp","name":"IDA Pro MCP","homepage":"https://github.com/mrexodia/ida-pro-mcp","repo_url":"https://github.com/mrexodia/ida-pro-mcp","category":"security","subcategories":["reverse-engineering","binary-analysis","malware-analysis"],"tags":["mcp","ida-pro","reverse-engineering","disassembly","decompilation","malware-analysis","binary-analysis","hex-rays","ctf","vulnerability-research"],"what_it_does":"MCP server that exposes IDA Pro's reverse engineering capabilities to AI agents. Enables decompilation, disassembly, xref analysis, function renaming, commenting, patching, debugger control, and arbitrary IDAPython execution through MCP tools.","use_cases":["AI-assisted binary reverse engineering and malware analysis","Automated function and variable renaming in disassembly","AI-driven vulnerability research in compiled binaries","CTF binary challenge solving with LLM assistance","Batch deobfuscation workflows with AI guidance"],"not_for":["Users without IDA Pro license (IDA Free not supported)","Source code analysis (use other tools for that)","Dynamic analysis without IDA Pro debugger setup","Non-technical users expecting automated malware detection"],"best_when":"You have IDA Pro 8.3+ and want AI to assist with reverse engineering tasks like renaming, commenting, decompilation analysis, and pattern recognition in binaries.","avoid_when":"You don't have an IDA Pro license, need free/open-source tooling only, or want fully automated malware detection without human review.","alternatives":["ghidra-mcp (Ghidra-based, free alternative)","radare2 with r2ai (open-source RE with AI)","Binary Ninja MCP (alternative disassembler)","Ghidra + ChatGPT manual workflow"],"af_score":75.2,"security_score":40.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github","github_awesome"],"priority":"low","status":"evaluated","version_evaluated":"unknown","last_evaluated":"2026-03-01T09:50:05.711741+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}