JVM
Createdxzq-xu
Enables AI models to interact with and monitor JVM-based applications through a standardized Model Context Protocol (MCP) server implementation.
About
The JVM implementation provides a standardized MCP server for the JVM platform, facilitating seamless interaction between AI models and the Java ecosystem. Based on Arthas, it offers a simple Python interface to monitor and analyze Java processes, enabling AI-driven JVM performance analysis. It features automatic Arthas management, supports local and remote monitoring, and provides real-time JVM insights.
Key Features
- Automatic download and management of Arthas
- JVM memory usage monitoring
- Supports local and remote Java process monitoring
- AI-driven JVM performance analysis
- Real-time JVM thread information
Use Cases
- Integrating AI models with Java applications
- Monitoring and analyzing Java processes
- Troubleshooting JVM performance issues