--- title: "awesome-mcp-servers vs jadx-ai-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/punkpeye-awesome-mcp-servers-vs-zinja-coder-jadx-ai-mcp" tools: ["punkpeye-awesome-mcp-servers", "zinja-coder-jadx-ai-mcp"] --- # awesome-mcp-servers vs jadx-ai-mcp *GraphCanon updated Aug 25, 2026* ## Verdict Pick awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration; 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. [awesome-mcp-servers](https://glama.ai/mcp/servers) reports 91k GitHub stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. [jadx-ai-mcp](https://github.com/zinja-coder/jadx-ai-mcp) has 2.6k stars, 232 forks, and 9 open issues, last pushed May 28, 2026. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers) and [jadx-ai-mcp's repository](https://github.com/zinja-coder/jadx-ai-mcp). | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [jadx-ai-mcp](/tools/zinja-coder-jadx-ai-mcp.md) | | --- | --- | --- | | Tagline | A collection of MCP servers | Plugin for JADX to integrate MCP server | | Stars | 90,602 | 2,551 | | Forks | 12,821 | 232 | | Open issues | 2,557 | 9 | | Language | - | Java | | Adopt for | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [jadx-ai-mcp](/tools/zinja-coder-jadx-ai-mcp.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 6d | 59d | | Open issues (now) | 2.6k | 9 | | Full report | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | [trust report](/tools/zinja-coder-jadx-ai-mcp/trust.md) | ## Decision facts: awesome-mcp-servers - **Adopt for:** awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. ## 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. ## Choose when ### Choose awesome-mcp-servers if… - License: awesome-mcp-servers is MIT, jadx-ai-mcp is Apache-2.0. - Tags unique to awesome-mcp-servers: server-resources. - If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology. ### Choose jadx-ai-mcp if… - License: jadx-ai-mcp is Apache-2.0, awesome-mcp-servers is MIT. - Tags unique to jadx-ai-mcp: java, llm, reverse-engineering. - Also covers LLM Frameworks. - 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 NOT to use awesome-mcp-servers - Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ## 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 ## Common questions ### What is the difference between awesome-mcp-servers and jadx-ai-mcp? awesome-mcp-servers: A collection of MCP servers. jadx-ai-mcp: Plugin for JADX to integrate MCP server. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-mcp-servers over jadx-ai-mcp? Choose awesome-mcp-servers over jadx-ai-mcp when License: awesome-mcp-servers is MIT, jadx-ai-mcp is Apache-2.0; Tags unique to awesome-mcp-servers: server-resources; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology. ### When should I choose jadx-ai-mcp over awesome-mcp-servers? Choose jadx-ai-mcp over awesome-mcp-servers when License: jadx-ai-mcp is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to jadx-ai-mcp: java, llm, reverse-engineering; Also covers LLM Frameworks; 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 avoid awesome-mcp-servers? Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ### 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 ### Is awesome-mcp-servers or jadx-ai-mcp more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 2,551). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-mcp-servers and jadx-ai-mcp open source? Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, jadx-ai-mcp: Apache-2.0). ### Where can I find alternatives to awesome-mcp-servers or jadx-ai-mcp? GraphCanon lists graph-backed alternatives at [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) and [jadx-ai-mcp alternatives](/tools/zinja-coder-jadx-ai-mcp/alternatives) ([awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md), [jadx-ai-mcp markdown twin](/tools/zinja-coder-jadx-ai-mcp/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/punkpeye-awesome-mcp-servers-vs-zinja-coder-jadx-ai-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-mcp-servers or jadx-ai-mcp? awesome-mcp-servers: Very active. jadx-ai-mcp: 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 awesome-mcp-servers and jadx-ai-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust); [jadx-ai-mcp trust report](/tools/zinja-coder-jadx-ai-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers`](/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers) - 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/_