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jadx-ai-mcp

Connector Development Solid
Works inClaude Code Claude Cowork Claude Chat
Solid Scanned — metadata only

Enables AI-assisted reverse engineering and code analysis within JADX, reducing time spent manually inspecting decompiled Android/Java bytecode and improving…

Plugin for JADX to integrate MCP server

2,959 starsApache-2.0 (commercial OK)FreeNo code needed

Enables AI-assisted reverse engineering and code analysis within JADX, reducing time spent manually inspecting decompiled Android/Java bytecode and improving security audit accuracy.

Security teams and mobile app auditors analyzing APK or compiled Java code with AI-powered contextual insights.

Claude Code Claude Cowork Claude Chat

https://github.com/zinja-coder/jadx-ai-mcp

By zinja-coder

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add jadx-ai-mcp -- npx -y jadx-ai-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.

First thing to try

Once it’s connected, paste this into Claude:

Decompile and analyze Android APK files through JADX integration
CostFree

Trust Signals Auto-scanned

Stars2,959Contributors9Last updated2026-10-19LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-30 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Quiet

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): 2,817 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 2,817 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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