jvm-mcp-server
The JVM MCP Server is a monitoring server for Java processes using Arthas and a Python interface, facilitating tasks like thread information retrieval, memory usage monitoring, and AI-driven performance analysis. It supports both local and remote monitoring of Java environments using SSH.
What are the system requirements for JVM MCP Server?
The server requires Python 3.10+, Java Runtime Environment (JRE) 8+, and a network connection for downloading Arthas. SSH access is needed for remote monitoring.
How do I start the JVM MCP Server?
You can start the server using the 'uv' tool with the command 'uv run jvm-mcp-server'. For remote connections, use the '--env-file' option with your configuration file.
Can I use JVM MCP Server in a production environment?
While it is recommended for development environments, using it in production should be carefully evaluated due to potential performance impacts.
How is Arthas managed in JVM MCP Server?
Arthas is automatically downloaded and managed by the server. It will be downloaded to the home directory on the first run.
What should I do if I encounter issues?
If you encounter any issues, you can submit an Issue or Pull Request on the project's GitHub repository.