MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents
An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents. Your Node.js app is slow. You ran . Now you have a 20MB file — and your AI agent is completely blind to it. V8 CPU profiles are massive. A typical from a production Node.js app is 5–50MB of raw JSON — millions of lines mapping memory addresses, tick counts, and microsecond execution sequences. It…
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extract_hottest_functionsNo description publishedThis tool published no description. Forge does not invent one.
analyze_call_tree_pathNo description publishedThis tool published no description. Forge does not invent one.
correlate_source_codeNo description publishedThis tool published no description. Forge does not invent one.
analyze_gc_pressureNo description publishedThis tool published no description. Forge does not invent one.
diff_profilesNo description publishedThis tool published no description. Forge does not invent one.
analyze_async_bottlenecksNo description publishedThis tool published no description. Forge does not invent one.
0 of 6 tools published a description.
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An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents. Your Node.js app is slow. You ran . Now you have a 20MB file — and your AI agent is completely blind to it. V8 CPU profiles are massive. A typical from a production Node.js app is 5–50MB of raw JSON — millions of lines mapping memory addresses, tick counts, and microsecond execution sequences. It looks like this: An AI agent attempting to read this file instantly collapses its context window and…
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