Cherry Studio
Desktop · Free · Apache 2.0 + Addendum Terms
A desktop client supporting multiple LLM providers, available on Windows, Mac, and Linux.

zinja-coder/jadx-ai-mcp
Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly.
{
"mcpServers": {
"jadx-mcp-server": {
"command": "/<path>/<to>/uv",
"args": [
"--directory",
"</PATH/TO/>jadx-mcp-server/",
"run",
"jadx_mcp_server.py"
]
}
}
}Kindly open an issue with respective template.
Tested on Claude Desktop Client, support for other AI will be tested soon!
fetch_current_class
Get the class name and full source of selected class
get_selected_text
Get currently selected text
get_class_source
Get full source of a given class
get_method_by_name
Fetch a method's source
search_method_by_name
Search method across classes
search_classes_by_keyword
Search for classes whose source code contains a specific keyword (supports pagination)
get_smali_of_class
Fetch smali of class
get_main_activity_class
Fetch main activity from jadx mentioned in AndroidManifest.xml file.
get_main_application_classes_code
Fetch all the main application classes' code based on the package name defined in the AndroidManifest.xml.
get_main_application_classes_names
Fetch all the main application classes' names based on the package name defined in the AndroidManifest.xml.
get_android_manifest
Retrieve and return the AndroidManifest.xml content.
get_manifest_component
Retrieve specific manifest component instead of whole manifest file
get_strings
Fetches the strings.xml file
get_all_resource_file_names
Retrieve all resource files names that exists in application
get_resource_file
Retrieve resource file content
rename_class
Renames the class name
rename_method
Renames the method
rename_field
Renames the field
rename_package
Renames whole package
rename_variable
Renames the variable within a method
add_comment
Adds a comment to a class, method, field, or a single code line (line=, the 1-based line number of the decompiled source), shown in JADX-GUI and saved with the…
list_comments
Lists the comments stored in the project, optionally filtered to one class
debug_get_stack_frames
Get the stack frames from jadx debugger
debug_get_threads
Get the insights of threads from jadx debugger
debug_get_variables
Get the variables from jadx debugger
xrefs_to_class
Find all references to a class (returns method-level and class-level references, supports pagination)
xrefs_to_method
Find all references to a method (includes override-related methods, supports pagination)
xrefs_to_field
Find all references to a field (returns methods that access the field, supports pagination)
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:
Desktop · Free · Apache 2.0 + Addendum Terms
A desktop client supporting multiple LLM providers, available on Windows, Mac, and Linux.

Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.

yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.