@ej-technologies
基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"jprofiler": {
"command": "npx",
"args": [
"-y",
"@ej-technologies/jprofiler-mcp"
]
}
}
}Prepare a profiling session by retrieving a JVM parameter to be added to a Java process call to record performance data with stack traces for the following subsystems: cpu, jdbc, jpa, http_server, http_client, mongo_db. The result is a JSON object containing a 'jvmParameter' to be added (quoted) to the Java process at startup. Add it verbatim and do not create or modify any files; the configuration is already set up for you. Run the Java process; the recording is saved automatically when the JVM terminates (or after the optional maximum duration). Then call check_status to access the data - do not load the saved snapshot file yourself.
Load an existing .jps, .hprof, or .jfr file for analysis. You must call check_status to check the loading progress and - after this returns 'data_ready' - retrieve data with the get_* tools. To compare two performance snapshots, load both in a single call: set filePath to the run to analyze and baselineFilePath to the baseline; The get_performance_hotspots tool then report the differences.
Attach to a running JVM by PID or to a JVM inside a Docker container. Records performance data for the following subsystems: cpu, jdbc, jpa, http_server, http_client, mongo_db until check_status is called with 'stopRecording: true'. You can use list_jvms to discover JVMs.
Check the status of a profiling session and discover which subsystems were recorded. Can be used to stop recording. When the data is ready provides information about the recorded subsystems (e.g. cpu, jdbc, http_client).
Retrieve a sorted list of top performance hotspots. Returns a JSON object containing an array of hotspots with timing data and expansion ids. Use expand_performance_hotspot to drill down.
Expand a performance hotspot or call tree. Returns a JSON object containing the back trace of a hot spot or the children of the call tree node with the provided id.
Dump the heap of a locally running JVM or of a JVM inside a Docker container to an HPROF file and load it for analysis. You must call check_status to check the loading progress and - after this returns 'data_ready' - retrieve data with get_heap_data. You can use list_jvms to discover JVMs.
Retrieve aggregated data of a heap dump. Can show biggest objects, retained class lists, and class histograms.
List locally running JVMs or JVMs running in a Docker container with their command line and PID. Use the information to call attach or create_heap_dump.
JProfiler is a Java performance profiler that integrates with AI coding assistants through the Model Context Protocol (MCP). It provides MCP tools for CPU hotspots with back traces, memory allocation analysis, JDBC query profiling, HTTP call tracing, and thread state inspection, and supports heap dump analysis across HPROF, JFR, and .jps snapshot formats.
Install the @ej-technologies/jprofiler-mcp npm package and configure an MCP client (e.g., Claude Desktop) to point to the server script. The MCP server drives JProfiler's command-line tooling, allowing AI assistants to attach to running JVMs or prepare fresh profiling sessions, then guide the user from "profile this" to "here's the hotspot and the back trace."
.jps snapshot formatsJProfiler is a commercial product from ej-technologies. It requires a JProfiler installation and the MCP server runs as a Node.js process; an MCP client (e.g., Claude Desktop) is needed to interact with the server.
JProfiler offers a free 10-day evaluation with no signup required to start. After the trial, a commercial license is needed.
The server communicates over standard input/output (stdio), which is the standard transport for MCP-based tools.
The README does not specify remote profiling capabilities. The server is designed to attach to JVMs accessible from the local machine or to prepare local profiling sessions.
It can analyze live profiling sessions (CPU, memory, JDBC, HTTP, threads) as well as offline heap dump snapshots in HPROF, JFR, and JProfiler's own `.jps` format.
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