io.github.vola-trebla/v8-cpu-profile-decoder-mcp

MCPcommunity
v0.3.0io.github.vola-treblaUnknownUpdated 1mo agonpmGitHub

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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1mo agoLast update
Package
Authorio.github.vola-trebla
LicenseUnknown
Version0.3.0
Sourcemcp-registry
npmv8-cpu-profile-decoder-mcp
GitHubvola-trebla/v8-cpu-profile-decoder-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface6 tools · none privileged
Security scan✓ Cleanv0.3.0 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

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…

Keywords
mcp