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Pprof Analyzer MCP Server

@ZephyrDeng

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

ZephyrDeng

Pprof Analyzer MCP Server について

This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.

Pprof Analyzer MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "pprof-analyzer-mcp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "pprof-analyzer-mcp",
        "."
      ]
    }
  }
}

Pprof Analyzer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Pprof Analyzer MCP Server?

This is a Model Context Protocol (MCP) server implemented in Go that provides tools to analyze Go pprof performance profiles. It integrates with Go's profiling tooling, allowing developers to debug performance issues, memory leaks, goroutine problems, and more.

How to use Pprof Analyzer MCP Server?

Install via go install, build from source, or use the Docker image. Configure the server in your MCP client (e.g., Roo Cline) by adding a JSON entry to .roo/mcp.json that specifies the command to run the executable. The server communicates over the stdio transport.

Key features of Pprof Analyzer MCP Server

  • Analyze pprof files (CPU, heap, goroutine, allocs, mutex, block)
  • Output formats: text, markdown, JSON, flamegraph-json
  • Generate SVG flame graphs via go tool pprof
  • Compare two profiles to identify regressions/improvements
  • Detect memory leaks by comparing heap snapshots
  • Analyze heap time series for memory growth trends

Use cases of Pprof Analyzer MCP Server

  • Diagnose CPU hotspots in Go applications.
  • Detect and locate memory leaks using heap snapshots.
  • Identify goroutine deadlocks or excessive goroutine usage.
  • Analyze mutex contention and blocking operations.
  • Compare performance profiles to spot regressions after code changes.

よくある質問

1

What dependencies are required?

Graphviz is required for flame graph generation. The `go` command must be available for the interactive web UI and flame graph generation.

2

On which operating systems does the interactive pprof web UI work?

The `open_interactive_pprof` tool works only on macOS.

3

How is the server transported?

It uses the `stdio` transport protocol.

4

How do I configure the server with my MCP client?

Add a JSON entry to your client’s configuration file (e.g., `.roo/mcp.json`) specifying the command to run the executable, for example: `"command": "pprof-analyzer-mcp"`.

5

Can I run the server in Docker?

Yes. Build the Docker image with `docker build -t pprof-analyzer-mcp .` and run it with `docker run -i --rm pprof-analyzer-mcp`.

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