JVM MCP Server
A server for monitoring and analyzing Java Virtual Machine (JVM) processes using Arthas, with a Python interface.
JVM MCP Server
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.
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 information
Advanced Features
- Method call path analysis
- Class decompilation
- Method search and inspection
- Method invocation monitoring
- Logger level management
- System resource dashboard
System Requirements
- Python 3.6+
- JDK 8+
- Linux/Unix/Windows OS
- SSH access (for remote monitoring)
Installation
Using uv (Recommended)
# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh # Linux/macOS
# or
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # Windows
# Install the package
uv pip install jvm-mcp-server
Using pip
pip install jvm-mcp-server
From Source
# Clone the repository
git clone https://github.com/your-repo/jvm-mcp-server.git
cd jvm-mcp-server
# Using uv (recommended)
uv venv # Create virtual environment
uv sync # Install dependencies
# Or install in development mode
uv pip install -e .
Quick Start
Starting the Server
Using uv (Recommended)
# Local mode
uv run jvm-mcp-server
# Using environment variables file for remote mode
uv run --env-file .env jvm-mcp-server
# In specific directory
uv --directory /path/to/project run --env-file .env jvm-mcp-server
Using uvx
# Local mode
uvx run jvm-mcp-server
# With environment variables
uvx run --env-file .env jvm-mcp-server
Using Python directly
from jvm_mcp_server import JvmMcpServer
# Local mode
server = JvmMcpServer()
server.run()
# Remote mode (via environment variables)
# Set SSH_HOST, SSH_PORT, SSH_USER, SSH_PASSWORD or SSH_KEY
import os
os.environ['SSH_HOST'] = 'user@remote-host'
os.environ['SSH_PORT'] = '22'
server = JvmMcpServer()
server.run()
Using with MCP Configuration
{
"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"
]
}
}
}
Available Tools
JVM-MCP-Server provides a comprehensive set of tools for JVM monitoring and diagnostics:
list_java_processes: List all Java processesget_thread_info: Get thread information for a specific processget_jvm_info: Get JVM basic informationget_memory_info: Get memory usage informationget_stack_trace: Get thread stack trace informationget_class_info: Get detailed class information including structureget_stack_trace_by_method: Get method call pathdecompile_class: Decompile class source codesearch_method: Search for methods in classeswatch_method: Monitor method invocationsget_logger_info: Get logger informationset_logger_level: Set logger levelsget_dashboard: Get system resource dashboardget_jcmd_output: Execute JDK jcmd commandsget_jstat_output: Execute JDK jstat commands
For detailed documentation on each tool, see Available Tools.
Architecture
JVM-MCP-Server is built on a modular architecture:
- Command Layer: Wraps JDK native commands
- Executor Layer: Handles local and remote command execution
- Formatter Layer: Processes and formats command output
- MCP Interface: Exposes functionality through FastMCP protocol
Key Components
BaseCommand: Abstract base class for all commandsCommandExecutor: Interface for command execution (local and remote)OutputFormatter: Interface for formatting command outputJvmMcpServer: Main server class that registers all tools
Development Status
The project is in active development. See Native_TODO.md for current progress.
Completed
- Core architecture and command framework
- Basic commands implementation (jps, jstack, jmap, jinfo, jcmd, jstat)
- Class information retrieval system
- MCP tool parameter type compatibility fixes
In Progress
- Caching mechanism
- Method tracing
- Performance monitoring
- Error handling improvements
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
NP|## Acknowledgements
#MH|
#TK|- JDK tools documentation
#WY|- FastMCP protocol specification
#JK|- Contributors and testers
#BP|
#KG|## Permission Requirements
#YM|
#KB|Some JVM diagnostic commands (jstack, jmap, jinfo, jcmd, etc.) require sufficient permissions to attach to the target JVM process. If you encounter permission errors, try the following solutions:
#YB|
#KB|### Common Errors
#RR|
#KB|- Permission denied: Insufficient permissions
#YZ|- Unable to open socket file: Cannot connect to JVM process
#KD|- No such process: Process does not exist or has exited
#MH|
#KB|### Solutions
#BR|
#KB|1. Run with sudo (recommended): sudo uv run jvm-mcp-server
#XZ|2. Run as the same user as target Java process: Check the user ID of the Java process and run as that user
#HM|3. Add experimental attach permission to JDK: Add to JVM startup arguments:
```
-XX:+AllowRedefinitionToAddDeleteMethods
```
#XQ|4. In Docker: Ensure the container has sufficient permissions (--privileged or mount /proc)
#KB|
#KB|Note: list_java_processes uses the jps command and does not require special permissions. Other commands may need to be configured according to the solutions above.
- JDK tools documentation
- FastMCP protocol specification
- Contributors and testers
相关服务器
Scout Monitoring MCP
赞助Put performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
赞助Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Binary Ninja
A Binary Ninja plugin, MCP server, and bridge that seamlessly integrates Binary Ninja with your favorite MCP client.
Gemini Image Generation
Generate images using Google's Gemini API.
MCP Server
Automate data science stages using your own CSV data files.
bevy_brp_mcp
An MCP server for AI coding assistants to control, inspect, and modify Bevy applications using the Bevy Remote Protocol (BRP).
Ghost MCP
An MCP server for the Ghost blogging platform with Server-Sent Events (SSE) transport support.
Modes MCP Server
An MCP server for programmatically managing Roo's custom operational modes.
mcp-openapi
Turn any OpenAPI/Swagger spec into Claude tools. Zero config, zero code.
Shallow Research Code Assistant
A multi-agent AI-powered research and code assistant. Requires external API keys for LLM providers, web search, and secure code execution.
Galley MCP Server
Integrates Galley's GraphQL API with MCP clients. It automatically introspects the GraphQL schema for seamless use with tools like Claude and VS Code.
x64dbgMCP
An MCP server that connects LLMs with the x64dbg debugger, enabling natural language control over debugging functions.
