MCP Youtube
High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.
Is MCP Youtube safe? Strong public trust posture, backed by multiple independent signals.
Compare MCP Youtube
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: MCP Youtube scores 77.7/100 (Grade B), ranked #180 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 5.3/10; 81% of recent commits are signed; last pushed 2026-09-11. Every point is earned from checkable signals — never paid placement. How scoring works →
How MCP Youtube compares in MCP Servers
- #98 Automox MCP Server 77.7 ±0
- #99 The MCP server for GoReleaser 77.7 ±0
- #100 MCP Youtube 77.7 this agent
- #101 Music Studio 77.6 −0.1
- #102 DollhouseMCP 77.4 −0.3
Bars show each HVTrust score; the tick marks MCP Youtube’s 77.7.
Where the 77.7 comes from
HVTrust dimensions vs the MCP Servers average
77.7 / 100 · 100.0% confidenceMCP Youtube MCP Servers average (775 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
54.9 / 100Supply Chain Trust
Common questions about MCP Youtube
Does MCP Youtube publish package provenance?
Does MCP Youtube have an OpenSSF Scorecard?
Is MCP Youtube actively maintained?
What license does MCP Youtube use?
Are MCP Youtube's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to MCP Youtube's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain MCP Youtube?
For maintainers
HVTrust scores MCP Youtube from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/mcp-youtube)
<a href="https://hvtracker.net/agents/mcp-youtube"><img src="https://hvtracker.net/badge/mcp-youtube.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON