{"data":{"slug":"zinja-coder-jadx-ai-mcp","name":"jadx-ai-mcp","tagline":"Plugin for JADX to integrate MCP server","github_url":"https://github.com/zinja-coder/jadx-ai-mcp","owner":"zinja-coder","repo":"jadx-ai-mcp","owner_avatar_url":"https://avatars.githubusercontent.com/u/65374935?v=4","primary_language":"Java","stars":2711,"forks":245,"topics":["ai","java","llm","mcp","mcp-server","mcp-servers","mobile","model-context-protocol","model-context-protocol-servers","pentesting","reverse-engineering","sast","vapt"],"archived":false,"github_pushed_at":"2026-08-06T15:56:52+00:00","maintenance_label":"Active","stars_delta_30d":160,"url":"https://www.graphcanon.com/tools/zinja-coder-jadx-ai-mcp","markdown_url":"https://www.graphcanon.com/tools/zinja-coder-jadx-ai-mcp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zinja-coder-jadx-ai-mcp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zinja-coder-jadx-ai-mcp","description":"Plugin for JADX to integrate MCP server","homepage_url":null,"license":"Apache-2.0","open_issues":3,"watchers":9,"ai_summary":"A Java-based plugin that enables the integration of an MCP (Model Context Protocol) server with JADX, enhancing functionalities such as reverse engineering and AI-driven code analysis tasks.","readme_excerpt":"## The above one line code will install the latest version of the plugin directly into the jadx, no need to download the jadx-ai-mcp's .jar file.\n\n---\n\n## 2. Or you can use JADX-GUI to install it by following images as shown below:\n```\n\n<div align=\"center\">\n    <img alt=\"banner\" height=\"480px\" widht=\"620px\" src=\"docs/assets/img_1231.png\">\n</div>\n\n<div align=\"center\">\n    <img alt=\"banner\" height=\"480px\" widht=\"620px\" src=\"docs/assets/img_1123.png\">\n</div>\n\n<div align=\"center\">\n    <img alt=\"banner\" height=\"480px\" widht=\"620px\" src=\"docs/assets/img_2122.png\">\n</div>\n\n\n```bash\n\n---\n\n## 📄 License\n\nJADX-AI-MCP and all related projects inherits the Apache 2.0 License from the original JADX repository.","github_created_at":"2025-04-07T17:28:54+00:00","created_at":"2026-07-11T11:51:08.589254+00:00","updated_at":"2026-08-26T12:02:01.845429+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"java","name":"java"},{"slug":"llm","name":"llm"},{"slug":"mcp","name":"mcp"},{"slug":"reverse-engineering","name":"reverse-engineering"}],"trust":{"provenance":{"is_fork":false,"github_id":962125208,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-26T12:02:01.026Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":2,"days_since_push":19,"last_release_at":"2026-08-06T15:56:52Z","stars_delta_30d":160,"open_issues_delta_30d":-6},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:51:09.814Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-26T12:02:01.536Z"},"languages":{"value":["java"],"source":"github.language","observed_at":"2026-08-26T12:02:01.536Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-26T12:02:01.536Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["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)","Integrate this tool if your project benefits from deep inspection techniques enabled by MCP server, offering a comprehensive approach for software asset management and threat assessment"],"when_not_to_use":["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"],"source":"enrich:decision_facts","observed_at":"2026-07-16T21:14:20.417Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"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."}]}}