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.
@brunoborges
Basic information
MCP Server for starting new projects
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"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
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.
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.
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.
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.
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.
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