JVM Diagnostics MCP
@brunoborges
About JVM Diagnostics MCP
MCP Server for starting new projects
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jvm-diagnostics": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"JAVA_HOME",
"ghcr.io/brunoborges/jvm-diagnostics-mcp:latest"
],
"env": {
"JAVA_HOME": "/path/to/java/home"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is JVM Diagnostics MCP?
JVM Diagnostics MCP is an MCP server that wraps various JVM diagnostic command-line tools (jstat, jcmd, jps) and exposes them through a prompt-enhanced interface. It is intended for developers and operations personnel who need to monitor and diagnose JVM processes locally.
How to use JVM Diagnostics MCP?
Install by downloading the JAR from the GitHub release page and configuring the server in Claude Desktop or VS Code Insiders, or run it inside a Docker container. The server operates via stdio transport and requires Java 17+ (or Docker) with JVM diagnostic tools available in the environment.
Key features of JVM Diagnostics MCP
- Wraps jstat, jcmd, and jps diagnostic tools
- Adds a prompt to improve tool interaction with LLMs
- Monitors JVM performance metrics
- Inspects and manages JVM processes
- Analyzes thread dumps, heap dumps, and other diagnostics
Use cases of JVM Diagnostics MCP
- Monitoring live JVM performance metrics using jstat
- Listing and inspecting running Java processes with jps
- Executing diagnostic commands on a JVM via jcmd
- Capturing and analyzing thread dumps and heap dumps
FAQ from JVM Diagnostics MCP
What does JVM Diagnostics MCP do?
It wraps JVM command-line diagnostics tools (jstat, jcmd, jps) and exposes them as MCP tools with an enhanced prompt, enabling an LLM to run JVM diagnostics interactively.
Is it safe to use?
The README advises caution because the server is LLM-driven; users should validate generated commands. The software is provided “as is” without warranty, and you use it at your own risk.
Is it secured and should I run it on a remote server?
No. The server uses only the stdio transport and is intended to run locally on your machine. It is not secured and could be exploited if accessible remotely.
How do I install JVM Diagnostics MCP?
You can run it as a Java application (requires Java 17+) by downloading the JAR from the GitHub release page, or run it inside a Docker container. Configuration examples for Claude Desktop and VS Code Insiders are provided in the README.
What are the runtime dependencies?
Java 17 or higher is required, and JVM diagnostic tools (jstat, jcmd, jps) must be available in the environment. Docker is an alternative runtime if Java is not installed locally.
Frequently asked questions
What does JVM Diagnostics MCP do?
It wraps JVM command-line diagnostics tools (jstat, jcmd, jps) and exposes them as MCP tools with an enhanced prompt, enabling an LLM to run JVM diagnostics interactively.
Is it safe to use?
The README advises caution because the server is LLM-driven; users should validate generated commands. The software is provided “as is” without warranty, and you use it at your own risk.
Is it secured and should I run it on a remote server?
No. The server uses only the stdio transport and is intended to run locally on your machine. It is not secured and could be exploited if accessible remotely.
How do I install JVM Diagnostics MCP?
You can run it as a Java application (requires Java 17+) by downloading the JAR from the GitHub release page, or run it inside a Docker container. Configuration examples for Claude Desktop and VS Code Insiders are provided in the README.
What are the runtime dependencies?
Java 17 or higher is required, and JVM diagnostic tools (jstat, jcmd, jps) must be available in the environment. Docker is an alternative runtime if Java is not installed locally.
Basic information
More Developer Tools MCP servers
AptiBuild AI — Career Intelligence
ParklandBuildsAptiBuild AI — Career Intelligence MCP Server Structured career decision scaffolding for AI agents. Provides personality-conditioned business idea generation, official BLS OEWS wage data, FRED labor market signals, and
extentos
Asger mølgaardExtentos is a multi-vendor development platform for adding smart-glasses capabilities to existing iOS and Android apps. The simplest analogy is Stripe for smart glasses:
TalkToFigma
sonnylazuardiTalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

Moxie Docs
Jackalope-DevAutomated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
Serena
oraiosA powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Comments