io.github.vola-trebla/react-render-profile-mcp

MCPcommunity
v1.0.2io.github.vola-treblaUnknownUpdated 1mo agonpmGitHub

Decodes React DevTools Profiler exports into render summaries and memoization advice for AI agents.

An Autonomous Performance SRE & Auto-Remediation Engine for React, exposed as a Model Context Protocol (MCP) server. Built specifically to bridge the performance perception gap for AI coding agents (Claude, Cursor, Copilot). When an AI agent refactors a Context Provider, changes state architecture, or hooks up a global store, it is completely blind to the runtime performance impact. An agent can…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.vola-trebla
LicenseUnknown
Version1.0.2
Sourcemcp-registry
npmreact-render-profile-mcp
GitHubvola-trebla/react-render-profile-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 surface3 tools · none privileged
Security scan✓ Cleanv1.0.2 · 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 Autonomous Performance SRE & Auto-Remediation Engine for React, exposed as a Model Context Protocol (MCP) server. Built specifically to bridge the performance perception gap for AI coding agents (Claude, Cursor, Copilot). When an AI agent refactors a Context Provider, changes state architecture, or hooks up a global store, it is completely blind to the runtime performance impact. An agent can successfully pass unit tests and compile code while introducing catastrophic performance…

Keywords
mcp