JVM MCP Server
About
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.
Details
- License
- MIT
Explore
- Zero Dependencies: Uses only native JDK tools (jps, jstack, jmap, etc.)
- Lightweight: Minimal resource consumption compared to agent-based solutions
- High Compatibility: Works with all Java versions and platforms
- Non-Intrusive: No modifications to target applications required
- Secure: Uses only JDK certified tools and commands
- Remote Monitoring: Support for both local and remote JVM monitoring via SSH
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
JVM MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
A hosted deployment is available on Fronteir AI.
curl -LsSf https://astral.sh/uv/install.sh | sh # Linux/macOS
uv pip install jvm-mcp-server
uv pip install -e .
uv run --env-file .env jvm-mcp-server
uvx run --env-file .env jvm-mcp-server
{
"mcpServers": {
"jvm-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/path/to/jvm-mcp-server",
"run",
"--env-file",
"/path/to/jvm-mcp-server/.env",
"jvm-mcp-server"
]
}
}
}
```
list_java_processes
List all Java processes
get_thread_info
Get thread information for a specific process
get_jvm_info
Get JVM basic information
get_memory_info
Get memory usage information
get_stack_trace
Get thread stack trace information
get_class_info
Get detailed class information including structure
get_stack_trace_by_method
Get method call path
decompile_class
Decompile class source code
search_method
Search for methods in classes
watch_method
Monitor method invocations
get_logger_info
Get logger information
set_logger_level
Set logger levels
get_dashboard
Get system resource dashboard
get_jcmd_output
Execute JDK jcmd commands
get_jstat_output
Execute JDK jstat commands
JVM-MCP-Server provides a comprehensive set of tools for JVM monitoring and diagnostics:
- list_java_processes: List all Java processes
- get_thread_info: Get thread information for a specific process
- get_jvm_info: Get JVM basic information
- get_memory_info: Get memory usage information
- get_stack_trace: Get thread stack trace information
- get_class_info: Get detailed class information including structure
- get_stack_trace_by_method: Get method call path
- decompile_class: Decompile class source code
- search_method: Search for methods in classes
- watch_method: Monitor method invocations
- get_logger_info: Get logger information
- set_logger_level: Set logger levels
- get_dashboard: Get system resource dashboard
- get_jcmd_output: Execute JDK jcmd commands
- get_jstat_output: Execute JDK jstat commands
For detailed documentation on each tool, see Available Tools.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"jvm mcp server": {
"jvm-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"jvm-mcp-server"
]
}
}
}
}McpServers
{
"jvm-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"jvm-mcp-server"
]
}
}<p align="center">
</p>
A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server implementation based on native JDK tools. Provides AI agents with powerful capabilities to monitor and analyze Java applications without requiring third-party tools like Arthas.
<a href="https://glama.ai/mcp/servers/@xzq-xu/jvm-mcp-server">
</a>
Hosted deployment
A hosted deployment is available on Fronteir AI.
Features
- Zero Dependencies: Uses only native JDK tools (jps, jstack, jmap, etc.)
- Lightweight: Minimal resource consumption compared to agent-based solutions
- High Compatibility: Works with all Java versions and platforms
- Non-Intrusive: No modifications to target applications required
- Secure: Uses only JDK certified tools and commands
- Remote Monitoring: Support for both local and remote JVM monitoring via SSH
Core Capabilities
Basic Monitoring
- Java process listing and identification - JVM basic information retrieval - Memory usage monitoring - Thread information and stack trace analysis - Class loading statistics - Detailed class structure informationAdvanced Features
- Method call path analysis - Class decompilation - Method search and inspection - Method invocation monitoring - Logger level management - System resource dashboardSystem Requirements
- Python 3.6+
- JDK 8+
- Linux/Unix/Windows OS
- SSH access (for remote monitoring)
Installation
Using uv (Recommended)
```bash
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