jvm-mcp-server

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This is an implementation project of a JVM-based MCP (Model Context Protocol) server. The project aims to provide a standardized MCP server implementation for the JVM platform, enabling AI models to better interact with the Java ecosystem.

Overview

jvm-mcp-server Introduction

jvm-mcp-server is an implementation project of a JVM-based Model Context Protocol (MCP) server. It aims to provide a standardized server implementation for the JVM platform, facilitating better interaction between AI models and the Java ecosystem.

How to Use

To use jvm-mcp-server, first install the required tools such as Python 3.10+ and Java Runtime Environment (JRE) 8+. Clone the project from GitHub, set up the environment using the 'uv' tool, and configure any necessary environment variables for remote connections. Finally, start the server using the command 'uv ru'.

Key Features

Key features of jvm-mcp-server include automatic management of Arthas tools, support for local and remote Java process monitoring, real-time JVM thread information, memory usage monitoring, thread stack trace information, class loading queries, method call monitoring, dynamic log level adjustments, and AI-driven performance analysis.

Where to Use

jvm-mcp-server can be used in various fields such as software development, performance monitoring, and debugging of Java applications, particularly where AI models need to interact with Java processes.

Use Cases

Use cases for jvm-mcp-server include monitoring Java applications in production environments, analyzing JVM performance for optimization, troubleshooting Java process issues, and providing insights into application behavior through real-time data.

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