Pprof Analyzer MCP Server

This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles. Built with the official Model Context Protocol Go SDK. That is what the pprof analyzer mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

• analyze_pprof Tool: —
• Analyzes the specified Go pprof file and returns serialized analysis results (e.g., Top N list or flame graph JSON)
• Supported Profile Types:
• cpu: Analyzes CPU time consumption during code execution to find hot spots
• heap: Analyzes the current memory usage (heap allocations) to find objects and functions with high memory consumption. Enhanced with object count, allocation site, and type information
• goroutine: Displays stack traces of all current goroutines, used for diagnosing deadlocks, leaks, or excessive goroutine usage

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by ZephyrDeng; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Pprof Analyzer MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.