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Java Project Starter Mcp
What is Java Project Starter Mcp
java-project-starter-mcp is an MCP Server designed to facilitate the initiation of new projects by wrapping various JVM diagnostic tools such as jstat, jcmd, and jps, providing a user-friendly prompt to enhance their functionality.
Use cases
Use cases include diagnosing performance issues in Java applications, managing JVM processes during development, and analyzing JVM diagnostics for troubleshooting.
How to use
To use java-project-starter-mcp, install it locally on your machine, ensuring that Java is installed. You can run it as a Java application or within a Docker container. Utilize the provided CLI commands to access JVM diagnostics.
Key features
Key features include monitoring JVM performance metrics with jstat, managing JVM processes with jps, executing diagnostic commands using jcmd, and analyzing thread and heap dumps.
Where to use
java-project-starter-mcp is suitable for software development, performance monitoring, and debugging in environments where Java applications are deployed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Java Project Starter Mcp
java-project-starter-mcp is an MCP Server designed to facilitate the initiation of new projects by wrapping various JVM diagnostic tools such as jstat, jcmd, and jps, providing a user-friendly prompt to enhance their functionality.
Use cases
Use cases include diagnosing performance issues in Java applications, managing JVM processes during development, and analyzing JVM diagnostics for troubleshooting.
How to use
To use java-project-starter-mcp, install it locally on your machine, ensuring that Java is installed. You can run it as a Java application or within a Docker container. Utilize the provided CLI commands to access JVM diagnostics.
Key features
Key features include monitoring JVM performance metrics with jstat, managing JVM processes with jps, executing diagnostic commands using jcmd, and analyzing thread and heap dumps.
Where to use
java-project-starter-mcp is suitable for software development, performance monitoring, and debugging in environments where Java applications are deployed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
JVM Diagnostics MCP
This is an MCP Server that wraps various JVM diagnostic tools (CLI) such as jstat, jcmd, jps, adds a nice prompt to improve how they work, and exposes them.
What can it do?
It has access to various JVM diagnostic tools, so it can perform tasks such as:
- Monitoring JVM performance metrics using
jstat. - Inspecting and managing JVM processes with
jps. - Executing diagnostic commands with
jcmd. - Analyzing thread dumps, heap dumps, and other JVM-related diagnostics.
Is it safe to use?
As the MCP server is driven by an LLM, we recommend being cautious and validating the commands it generates. If you’re using a reliable LLM like Claude 3.7 or GPT-4o, which has excellent training data on JVM tools, our experience has been very good.
Please read our License which states that “THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND”, so you use this MCP server at your own risk.
Is it secured, and should I run this on a remote server?
Short answer: NO.
This MCP server runs JVM diagnostic commands for you and could be exploited by an attacker to run other commands. The current implementation, as with most MCP servers at the moment, only works with the stdio transport: it’s supposed to run locally on your machine, using your JVM tools, as you would do by yourself.
In the future, it’s possible to have this MCP server support the http transport and token-based authentication, so that it could be used remotely by different persons. This will be considered once the MCP specification and SDK are more stable.
How do I install it?
This MCP server currently only works with the stdio transport, so it should run locally on your machine, using your JVM diagnostic tools.
This server can run as a Java application or inside a Docker container. If Java is installed on your machine, this first option is probably the easiest one. If you don’t have Java installed, or if you want to have something a bit more secure, you can use the second option.
Install and configure the server with Java
- Make sure you have Java 17 or higher installed. You can check this by running
java -versionin your terminal. - Ensure that JVM diagnostic tools like
jstat,jcmd, andjpsare available in your environment.
Binaries are available on the GitHub Release page, here’s how you can download the latest one with the GitHub CLI:
- Download the latest release:
gh release download --repo brunoborges/jvm-diagnostics-mcp --pattern='jvm-diagnostics-mcp.jar'
To use the server from Claude Desktop, add the server to your claude_desktop_config.json file. Please note that you need to point to the location where you downloaded the jvm-diagnostics-mcp.jar file.
{
"mcpServers": {
"jvm-diagnostics": {
"command": "java",
"args": [
"-jar",
"~/Downloads/jvm-diagnostics-mcp.jar"
]
}
}
}
To use the server from VS Code Insiders, here are the steps to configure it:
- Install GitHub Copilot
- Install this MCP Server using the command palette:
MCP: Add Server... - Configure GitHub Copilot to run in
Agentmode, by clicking on the arrow at the bottom of the chat window - On top of the chat window, you should see the
jvm-diagnostics-mcpserver configured as a tool
Install and configure the server with Docker
To use the server from Claude Desktop, add the server to your claude_desktop_config.json file. The JAVA_HOME environment variable should be set to the location of your Java installation.
{
"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"
}
}
}
}
To use the server from VS Code Insiders, here are the steps to configure it:
- Install GitHub Copilot
- Install this MCP Server using the command palette:
MCP: Add Server... - Configure GitHub Copilot to run in
Agentmode, by clicking on the arrow at the bottom of the chat window - On top of the chat window, you should see the
jvm-diagnostics-mcpserver configured as a tool
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










