jvm-mcp-server
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A JVM monitoring MCP server implementation based on Arthas, providing a simple and easy-to-use Python interface for monitoring and analyzing Java processes.
The JVM MCP Server is a monitoring server implementation that leverages Arthas to provide comprehensive monitoring and analysis capabilities for Java processes. It offers a Python interface, making it accessible and easy to use for developers who need to monitor JVM performance. The server supports both local and remote Java process monitoring, allowing users to query Java process lists, monitor real-time JVM thread information, and analyze memory usage. Additionally, it provides features such as thread stack trace information, class loading queries, method call monitoring, and dynamic log level adjustments. The server also includes AI-driven JVM performance analysis, enhancing its utility in identifying and resolving performance issues. The system requires Python 3.10+, JRE 8+, and network connectivity for downloading Arthas, with SSH access needed for remote monitoring.
Features
- Automatic download and management of Arthas tools
- Support for local and remote Java process monitoring
- Real-time JVM thread information and memory usage monitoring
- Support for class and method decompilation
- AI-driven JVM performance analysis
