ai.smithery/kirbah-mcp-youtube

MCPcommunity
v0.2.6ai.smitheryUnknownUpdated 9mo agoGitHub

Provide token-optimized, structured YouTube data to enhance your LLM applications. Access efficien…

A production-grade YouTube Data MCP server engineered specifically for AI agents. Unlike standard API wrappers that flood your LLM with redundant data, this server strips away YouTube's heavy payload bloat. It is designed to save you massive amounts of context window tokens, protect your daily API quotas via caching, and run reliably without breaking your workflows. Most MCP servers are weekend…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
9mo agoLast update
Package
Authorai.smithery
LicenseUnknown
Version0.2.6
Sourcemcp-registry
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

A production-grade YouTube Data MCP server engineered specifically for AI agents. Unlike standard API wrappers that flood your LLM with redundant data, this server strips away YouTube's heavy payload bloat. It is designed to save you massive amounts of context window tokens, protect your daily API quotas via caching, and run reliably without breaking your workflows. Most MCP servers are weekend projects. is built for reliable, daily, cost-effective agentic workflows. The raw YouTube API returns…

Keywords
mcp