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zinja-coder/jadx-ai-mcp

Plugin for JADX to integrate MCP server

Java ◇ ai Apache-2.0
★2.8KSTARS
⑂260FORKS
!8ISSUES
🏆#1,578GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for zinja-coder/jadx-ai-mcp
CSV

Momentum

+71

STARS · LAST 30 DAYS

2

PER DAY

#110

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+14+71+180
Per day222
Forks gained+1+5+13

jadx-ai-mcp gained 71 stars in the last 30 days, about 2 a day, and now has 2.8K. It is about 1 year old and has averaged roughly 2.8K stars a year. It ranks #110 among Java repositories and #1,578 across all languages on GitHubRepo.

Trending Record

jadx-ai-mcp has maintained a continuous presence across global trending indexes, peaking at #561. Below is the 30-day activity profile:

💡 Overview

jadx-ai-mcp is an open-source project written in Java: Plugin for JADX to integrate MCP server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, java, llm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/zinja-coder/jadx-ai-mcp.git
cd jadx-ai-mcp

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

jadx-ai-mcp coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with jadx-ai-mcp.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install jadx-ai-mcp using your package manager: `git clone https://github.com/zinja-coder/jadx-ai-mcp.git`

2

Initialize your project workspace or configuration file for jadx-ai-mcp.

3

Import jadx-ai-mcp into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `jadx-ai-mcp --help` to verify successful setup.

👍 Strengths

Active community backing with 2,824 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

zinja-coder/jadx-ai-mcp is currently ranked #1,578 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does jadx-ai-mcp do? +

Plugin for JADX to integrate MCP server

What language is jadx-ai-mcp written in? +

The primary language is Java. Topics include: ai, java, llm, mcp, mcp-server.

Is jadx-ai-mcp actively maintained? +

Yes, the last recorded push was on Sep 23, 2026 with 8 open issues being tracked.

How many stars does jadx-ai-mcp have? +

jadx-ai-mcp has 2,832 stars and 260 forks on GitHub.

How does jadx-ai-mcp rank among GitHub repositories? +

With 2,832 stars, zinja-coder/jadx-ai-mcp is ranked #1,578 globally across all repositories tracked on GitHubRepo and #110 among Java projects.

What license is jadx-ai-mcp distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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