MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents
MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents
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| Tool | What it does |
|---|---|
| extract_hottest_functions | Parses the .cpuprofile and returns the top N functions ranked by exclusive CPU time (self time). Filters out V8 internals and Node.js built-ins — only user code. |
| analyze_call_tree_path | Finds all callers of a specific function and shows how often each one invoked it. Accepts partial, case-insensitive function name matching. |
| correlate_source_code | Maps compiled JS bottlenecks back to their **original TypeScript source locations** using .js.map files. Falls back gracefully to compiled JS locations if no source map is found. |
| analyze_gc_pressure | Reports garbage collection overhead as a percentage of profiling duration, broken down by GC type. Flags when GC exceeds a configurable threshold and provides a targeted recommendation. |
| diff_profiles | Compares two .cpuprofile files (before/after an optimization) and returns per-function CPU time deltas, normalized against each profile's total duration. Frames are matched by call-frame coordinates, not transient node I |
| analyze_async_bottlenecks | Detects event-loop overhead by identifying V8 internal frames representing async machinery — microtask queue processing, nextTick saturation, and timer/immediate callbacks. |
{
"mcpServers": {
"v8-cpu-profile-decoder-mcp": {
"command": "npx",
"args": [
"-y",
"v8-cpu-profile-decoder-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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