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
Server Terkait
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
NSAF MCP Server
An MCP server for the Neuro-Symbolic Autonomy Framework (NSAF), enabling AI assistants to interact with the framework.
Sentry
Retrieve and analyze issues, error reports, and debugging information from Sentry.io.
AWS CodePipeline MCP Server
Integrates with AWS CodePipeline to manage continuous integration and delivery pipelines.
Sequa MCP
A proxy that connects local STDIO with remote MCP servers, enabling IDEs to use MCP without extra infrastructure.
Futarchy MCP
A server for interacting with the Futarchy protocol on the Solana blockchain.
Airflow MCP Server
Control Apache Airflow via its API using JWT authentication.
Opentrons
Control Opentrons robots, manage protocols, and search API documentation.
Apidog tests MCP
Adds possibility to work with testing management via MCP
Code Scanner Server
Scans code files for definitions, respects .gitignore, and outputs in LLM-friendly formats like XML or Markdown.
Gateway MCP Server
A gateway server that intelligently routes MCP requests to multiple backend servers based on external configuration.
