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JVM MCP Server

@xzq-xu

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

xzq-xu

Submitted by

li v

About JVM MCP Server

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.

JVM MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "jvm-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "jvm-mcp-server"
      ]
    }
  }
}

JVM MCP Server tools

15

List all Java processes

Get thread information for a specific process

Get JVM basic information

Get memory usage information

Get thread stack trace information

Get detailed class information including structure

Get method call path

Decompile class source code

Search for methods in classes

Monitor method invocations

Get logger information

Set logger levels

Get system resource dashboard

Execute JDK jcmd commands

Execute JDK jstat commands

Overview

What is JVM MCP Server?

A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server that uses native JDK tools (jps, jstack, jmap, etc.) to monitor and analyze Java applications. It requires no third-party tools like Arthas and is designed for AI agents to access JVM metrics and diagnostics in a non‑intrusive way.

How to use JVM MCP Server?

Install with pip install jvm-mcp-server or uv pip install jvm-mcp-server. Start the server locally with uv run jvm-mcp-server or via Python using JvmMcpServer().run(). For remote JVMs, set SSH environment variables (e.g., SSH_HOST, SSH_PORT) and run with --env-file .env. Integrate with an MCP client by adding a configuration entry using the uv command and the jvm-mcp-server tool name.

Key features of JVM MCP Server

  • Zero external dependencies – uses only native JDK tools
  • Lightweight and minimal resource consumption
  • Non‑intrusive: no modifications to target applications
  • Supports both local and remote JVM monitoring via SSH
  • Provides advanced diagnostics: method tracing, decompilation, logger control

Use cases of JVM MCP Server

  • Real‑time monitoring of Java process memory, threads, and class loading
  • Diagnosing performance issues by analyzing thread dumps and stack traces
  • Searching and inspecting class structures and method call paths
  • Managing logger levels across running Java applications
  • Automating JVM diagnostics in CI/CD or AI‑assisted operations

Frequently asked questions

1

What are the runtime requirements?

Python 3.6+ and JDK 8+ are required. The server runs on Linux, Unix, and Windows.

2

Does JVM MCP Server rely on any third‑party agent or library?

No. It uses only native JDK commands (jps, jstack, jmap, jinfo, jcmd, jstat) and requires no additional agents or tools like Arthas.

3

How do I handle permission errors when connecting to a JVM process?

Some commands (jstack, jmap, jcmd) require sufficient permissions. Run the server with `sudo`, or as the same user as the target Java process, or add `-XX:+AllowRedefinitionToAddDeleteMethods` to the JVM arguments. In Docker, use `--privileged` or mount `/proc`.

4

Can it monitor remote JVMs?

Yes. Set the `SSH_HOST`, `SSH_PORT`, `SSH_USER`, and either `SSH_PASSWORD` or `SSH_KEY` environment variables to enable remote monitoring via SSH.

5

What transport protocol does JVM MCP Server use?

It exposes its functionality through the FastMCP protocol, which is compatible with the Model Context Protocol (MCP) standard for AI agent communication.

Comments

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