ai.smithery/rainbowgore-stealthee-mcp-tools

MCPcommunity
v1.14.0ai.smitheryUnknownUpdated 9mo agoGitHub

Spot pre-launch products before they trend. Search the web and tech sites, extract and parse pages…

Stealthee is a dev-first system for surfacing pre-public product signals - before they trend. Built for CTOs and tech leaders who need competitive intelligence and early threat detection. It combines search, extraction, scoring, and alerting into a plug-and-play pipeline you can integrate into Claude, LangGraph, Smithery, or your own AI stack via MCP. Perfect for competitive intelligence,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
9mo agoLast update
Package
Authorai.smithery
LicenseUnknown
Version1.14.0
Sourcemcp-registry
GitHubrainbowgore/stealthee-MCP-tools
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 · not run+0/30
→ Not yet scanned — package must be on npm
✓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—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 19d 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

Stealthee is a dev-first system for surfacing pre-public product signals - before they trend. Built for CTOs and tech leaders who need competitive intelligence and early threat detection. It combines search, extraction, scoring, and alerting into a plug-and-play pipeline you can integrate into Claude, LangGraph, Smithery, or your own AI stack via MCP. Perfect for competitive intelligence, technology trend monitoring, and strategic planning. A CTO or tech leader needing competitive intelligence,…

Keywords
mcp