updated 2026-08-12 05:02 UTC

YouTube Research MCP

coyaSONG/youtube-mcp-server

Citation-ready YouTube research for AI agents — transcript search, exact timestamp links, cross-video evidence, and chan

MCP Servers JavaScript Grade D Listed MIT
18.2/100
Rank #1151 of 1283
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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state
Listed
Evidence coverage
Grade D · 1/5 signals
Last push
2026-08-10 · 2d ago
Recent change
Activity +2

Is YouTube Research MCP safe? YouTube Research MCP scores 18.2/100 (Grade D), ranked #1151 of 1283 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 40% of recent commits are signed; last pushed 2026-08-10. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

#655 Balldontlie Api MCP — 18.2 (D) → #656 Fred MCP Server — 18.2 (D) → #658 MCP Abap Abap Adt Api — 18.2 (D) → #659 Revolut MCP — 18.2 (D) →

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-11
Activity Score Changed
Activity score down 7pts (48 → 41)
2026-08-10
Rank Moved
Rank dropped 79 spots (#1035 → #1114)
2026-08-08
Newly Listed
First tracked at rank #1035
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Compare with another agent Get email alerts for YouTube Research MCP View MCP Servers Report missing data
40.9
Activity sub-score · out of 100
#657
In MCP Servers

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-08-12 05:02 UTC · Repo last pushed 2 days ago

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
15
Forks
3
Last Push
2026-08-10
2 days ago
Commits (4 wk)
2
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
0
Rank Change
▲2
was #1153

Analysis

HVTrust Dimensions vs MCP Servers

18.2 / 100 · 40.0% confidence

YouTube Research MCP MCP Servers average (761 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
2.0 / 25
3.0 below avg 5.0
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
2.5 below avg 13.3
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
in line with avg 8.8
Maintenance60% last-push freshness · 40% commit activity
13.8 / 20
1.4 above avg 12.4
AdoptionLog-scaled stars · package downloads
2.9 / 20
2.9 below avg 5.8

Activity Inputs

40.9 / 100
StarsRepository reach
7.2 / 30
FreshnessLast push recency
24.7 / 25
ActivityRecent commits
6.0 / 25
CommunityFork signal
2.8 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
—
Not available
Signed Commits
40%
of last 100 commits verified

Is YouTube Research MCP safe?

Public trust evidence for YouTube Research MCP is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does YouTube Research MCP publish package provenance?
No published build provenance is currently detected for YouTube Research MCP. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does YouTube Research MCP have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for YouTube Research MCP. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is YouTube Research MCP actively maintained?
Actively maintained. The repository was pushed to within the last 2 day(s).
What license does YouTube Research MCP use?
YouTube Research MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are YouTube Research MCP's commits signed?
39% of the last 100 commits to YouTube Research MCP are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

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
Scored in HVTrust

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 Server Support
medium confidence
Declared
MCP support appears present, but direct server implementation is less certain.
Detailed evidence is not shown in the public view.
External Service Dependencies
low confidence
None detected
No clear third-party provider dependency detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
None detected
No clear plugin system or broad tool surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain YouTube Research MCP?

For maintainers

HVTrust scores YouTube Research MCP 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.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history
Listed 1Rank 1Score 1
2026-08-11
Activity Score Changed
Activity score down 7pts (48 → 41)
2026-08-10
Rank Moved
Rank dropped 79 spots (#1035 → #1114)
2026-08-08
Newly Listed
First tracked at rank #1035
GitHub → npm: @coyasong/youtube-mcp-server

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 18.2 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/youtube-research-mcp.svg)](https://hvtracker.net/agents/youtube-research-mcp)
HTML:
<a href="https://hvtracker.net/agents/youtube-research-mcp"><img src="https://hvtracker.net/badge/youtube-research-mcp.svg" alt="HVTrust"></a>

Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON