Go Pprof Analyzer

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mcp-pprof serves as a Model Context Protocol (MCP) server, wrapping `go tool pprof` to make Go performance profiling data accessible and analyzable by AI coding assistants. It empowers AI agents to parse various pprof files (CPU, heap, block, mutex, goroutine profiles), generate SVG flamegraphs, pinpoint performance bottlenecks and hotspots, compare different profile files, and offer actionable optimization suggestions, seamlessly integrating performance insights into AI-driven development workflows.

Características Principales

• Provides comprehensive tools to parse, analyze, and compare Go pprof files
• Offers deep performance analysis capabilities with actionable optimization suggestions
• Generates SVG flamegraphs for visual identification of performance bottlenecks
• Supports multiple transport modes including stdio (local) and HTTP (mcp-remote)
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• Fully compatible with the Model Context Protocol (MCP) for seamless AI integration

Casos de Uso

• Analyze CPU and heap profiles to identify performance bottlenecks and hot functions in Go applications
• Generate visual flamegraphs to quickly understand call stack and resource consumption patterns
• Compare 'before' and 'after' profiles to evaluate performance improvements or regressions