--- title: "jadx-ai-mcp vs jadx-mcp-server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/zinja-coder-jadx-ai-mcp-vs-zinja-coder-jadx-mcp-server" tools: ["zinja-coder-jadx-ai-mcp", "zinja-coder-jadx-mcp-server"] --- # jadx-ai-mcp vs jadx-mcp-server *GraphCanon updated Jul 27, 2026* ## Verdict Pick jadx-ai-mcp if jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering; pick jadx-mcp-server if decision-Critical Facts for jadx-mcp-server. [jadx-ai-mcp](https://github.com/zinja-coder/jadx-ai-mcp) reports 2.6k GitHub stars, 232 forks, and 9 open issues, last pushed May 28, 2026. [jadx-mcp-server](https://github.com/zinja-coder/jadx-mcp-server) has 730 stars, 116 forks, and 3 open issues, last pushed May 28, 2026. Figures are from public GitHub metadata via [jadx-ai-mcp's repository](https://github.com/zinja-coder/jadx-ai-mcp) and [jadx-mcp-server's repository](https://github.com/zinja-coder/jadx-mcp-server). | | [jadx-ai-mcp](/tools/zinja-coder-jadx-ai-mcp.md) | [jadx-mcp-server](/tools/zinja-coder-jadx-mcp-server.md) | | --- | --- | --- | | Tagline | Plugin for JADX to integrate MCP server | MCP server for JADX-AI Plugin | | Stars | 2,551 | 730 | | Forks | 232 | 116 | | Open issues | 9 | 3 | | Language | Java | Python | | Adopt for | jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering. | Decision-Critical Facts for jadx-mcp-server | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Licensed under Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jadx-ai-mcp](/tools/zinja-coder-jadx-ai-mcp.md) | [jadx-mcp-server](/tools/zinja-coder-jadx-mcp-server.md) | | --- | --- | --- | | Open issues (now) | 9 | 3 | | Full report | [trust report](/tools/zinja-coder-jadx-ai-mcp/trust.md) | [trust report](/tools/zinja-coder-jadx-mcp-server/trust.md) | ## Decision facts: jadx-ai-mcp - **Adopt for:** jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering. ## Decision facts: jadx-mcp-server - **Hosting:** self hosted - **Pricing:** freemium - **Requirements:** Primarily developed for use with the JADX-AI Plugin; ensures compatibility when integrating AI capabilities into reverse engineering workflows. - **Adopt for:** Decision-Critical Facts for jadx-mcp-server - **License detail:** Licensed under Apache-2.0 ## Choose when ### Choose jadx-ai-mcp if… - jadx-ai-mcp is primarily Java; jadx-mcp-server is Python. - Tags unique to jadx-ai-mcp: java, llm, mcp. - Also covers Developer Tools. - Use jadx-ai-mcp when you are working with JAVA applications requiring enhanced reverse engineering capabilities or AI-driven analysis specifically integrated through the Model Context Protocol (MCP) ### Choose jadx-mcp-server if… - jadx-mcp-server is primarily Python; jadx-ai-mcp is Java. - Requirements: Primarily developed for use with the JADX-AI Plugin; ensures compatibility when integrating AI capabilities into reverse engineering workflows.. - Tags unique to jadx-mcp-server: android-hacking, android-reverse-engineering, application-security, mobile-security. - Also covers Evaluation & Observability. - When you need to integrate AI-assisted functionalities into the process of reverse engineering Android applications with the JADX-AI Plugin. ## When NOT to use jadx-ai-mcp - Avoid using jadx-ai-mcp if your development workflow does not involve JAVA or the use of an MCP server - Do not opt for this plugin when your specific needs do not align with AI-driven analysis or reverse engineering tasks, as it is specifically tailored for these functionalities ## When NOT to use jadx-mcp-server - Not recommended for projects that require integration with non-Python environments, as it can lead to significant interoperability challenges. - Avoid using this tool if you are looking for generalized AI frameworks not particularly focused on Android or reverse engineering tasks. ## Common questions ### What is the difference between jadx-ai-mcp and jadx-mcp-server? jadx-ai-mcp: Plugin for JADX to integrate MCP server. jadx-mcp-server: MCP server for JADX-AI Plugin. See the comparison table for live GitHub stats and shared categories. ### When should I choose jadx-ai-mcp over jadx-mcp-server? Choose jadx-ai-mcp over jadx-mcp-server when jadx-ai-mcp is primarily Java; jadx-mcp-server is Python; Tags unique to jadx-ai-mcp: java, llm, mcp; Also covers Developer Tools; Use jadx-ai-mcp when you are working with JAVA applications requiring enhanced reverse engineering capabilities or AI-driven analysis specifically integrated through the Model Context Protocol (MCP). ### When should I choose jadx-mcp-server over jadx-ai-mcp? Choose jadx-mcp-server over jadx-ai-mcp when jadx-mcp-server is primarily Python; jadx-ai-mcp is Java; Requirements: Primarily developed for use with the JADX-AI Plugin; ensures compatibility when integrating AI capabilities into reverse engineering workflows.; Tags unique to jadx-mcp-server: android-hacking, android-reverse-engineering, application-security, mobile-security; Also covers Evaluation & Observability; When you need to integrate AI-assisted functionalities into the process of reverse engineering Android applications with the JADX-AI Plugin. ### When should I avoid jadx-ai-mcp? Avoid using jadx-ai-mcp if your development workflow does not involve JAVA or the use of an MCP server Do not opt for this plugin when your specific needs do not align with AI-driven analysis or reverse engineering tasks, as it is specifically tailored for these functionalities ### When should I avoid jadx-mcp-server? Not recommended for projects that require integration with non-Python environments, as it can lead to significant interoperability challenges. Avoid using this tool if you are looking for generalized AI frameworks not particularly focused on Android or reverse engineering tasks. ### Is jadx-ai-mcp or jadx-mcp-server more popular on GitHub? jadx-ai-mcp has more GitHub stars (2,551 vs 730). Stars measure visibility, not whether either tool fits your constraints. ### Are jadx-ai-mcp and jadx-mcp-server open source? Yes - both are open-source projects on GitHub (jadx-ai-mcp: Apache-2.0, jadx-mcp-server: Apache-2.0). ### Where can I find alternatives to jadx-ai-mcp or jadx-mcp-server? GraphCanon lists graph-backed alternatives at [jadx-ai-mcp alternatives](/tools/zinja-coder-jadx-ai-mcp/alternatives) and [jadx-mcp-server alternatives](/tools/zinja-coder-jadx-mcp-server/alternatives) ([jadx-ai-mcp markdown twin](/tools/zinja-coder-jadx-ai-mcp/alternatives.md), [jadx-mcp-server markdown twin](/tools/zinja-coder-jadx-mcp-server/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/zinja-coder-jadx-ai-mcp-vs-zinja-coder-jadx-mcp-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jadx-ai-mcp or jadx-mcp-server? jadx-ai-mcp: Steady. jadx-mcp-server: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for jadx-ai-mcp and jadx-mcp-server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jadx-ai-mcp trust report](/tools/zinja-coder-jadx-ai-mcp/trust); [jadx-mcp-server trust report](/tools/zinja-coder-jadx-mcp-server/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=zinja-coder-jadx-ai-mcp`](/api/graphcanon/graph?tool=zinja-coder-jadx-ai-mcp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_