ida-pro-mcp
Reduces reverse engineering cycle time by integrating IDA Pro's binary analysis with LLM reasoning, enabling faster vulnerability discovery and malware analy…
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
- Ask Claude to identify malware behavior patterns in IDA Pro disassembly output and suggest defenses.
- Generate variable names and function descriptions for stripped binaries analyzed in IDA Pro.
- Find security vulnerabilities by having Claude analyze decompiled code structures from IDA Pro.
Reduces reverse engineering cycle time by integrating IDA Pro's binary analysis with LLM reasoning, enabling faster vulnerability discovery and malware analysis without context switching.
Security teams and threat analysts conducting malware triage, vulnerability research, or legacy binary assessment.
https://github.com/mrexodia/ida-pro-mcp
By mrexodia
How to Get It
claude mcp add ida-pro-mcp -- npx -y ida-pro-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Identify malware behavior patterns in IDA Pro disassembly output and suggest defenses
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 11,391 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 11,391 GitHub stars; contributors unknown; last commit 0d ago; license MIT.