Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 05:30 UTC

guimatheus92 / mcp-video-analyzer

MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.

TypeScriptMIT★ 61 stars⑂ 14 forkssince Mar 2026View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined
#ai#claude#frames#loom#mcp#mcp-server#model-context-protocol#ocr#transcript#video-analysis#instagram#tiktok#transcription#whisper#youtube#yt-dlp

guimatheus92/mcp-video-analyzer holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on AI Readiness (91/100) and lowest on Community & Adoption (54/100). It was last updated today. A single contributor accounts for most of its recent work.

84
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

84
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Guilherme MatheusPersonal account
33 followers50 public repossince Mar 2015@microsoft

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npmmcp-video-analyzer0.10.13,507188 days agomcpmodel-context-protocolvideovideo-analysisloomyoutubeinstagramtiktokyt-dlptranscripttranscriptionwhispersubtitlesframesocrscreen-recordingclaudeclaude-codeclaude-skillclaude-pluginagent-skillscliai

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

83Excellent · 21% of overall

Development activity

71Good
How it's scored
36/36Push recency — last push 0 days ago
8.3/36Commit cadence — 12/52 weeks with commits
16.5/18Commit volume — 67 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year67
human_commit_share0.761
days_since_last_push0
active_weeks_last_year12

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 19 releases published
36/36Release recency — latest release 8 days ago
27/27Release cadence — a release every ~8.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count19
latest_release_tagv0.10.1
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases8.1
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

54Moderate · 17% of overall

Popularity & adoption

38Weak
How it's scored
28.8/60Stars — 61 stars
9.3/25Forks — 14 forks
0/15Watchers — 1 watchers
Inputs used
forks14
stars61
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

59Moderate
How it's scored
47.3/80Monthly downloads — 3,507 downloads/month across npm
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmcp-video-analyzer
dependents—
ecosystemsnpm
total_downloads—
monthly_downloads3,507
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

19Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.3/22.5Commit distribution — top contributor authored 94% of commits
5.4/13.5Contributor breadth — 4 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.941

Issue & PR responsiveness

80Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
27.6/30PR acceptance — 46/50 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/14 approved changesets -- score normalized to 0
Inputs used
merged_prs46
open_issues0
closed_issues9
prs_merged_7d0
prs_decided_7d0
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio1
closed_unmerged_prs4
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

57Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
11/25Owner reach — 33 followers of guimatheus92
24.4/25Track record — 50 public repos, account ~11 yr old
Inputs used
followers33
owner_typeUser
is_verified—
owner_loginguimatheus92
public_repos50
account_age_days4,191
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on npm
35/35Publish recency — latest publish 8 days ago
20/20Version history — 18 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmcp-video-analyzer
ecosystemsnpm
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://glama.ai/mcp/servers/guimatheus92/mcp-video-analyzer
10/10Repository description
10/10Topics — 16 topics
10/10Wiki
Inputs used
topicsai, claude, frames, loom, mcp, mcp-server, model-context-protocol, ocr, transcript, video-analysis, instagram, tiktok, transcription, whisper, youtube, yt-dlp
has_wikiyes
homepagehttps://glama.ai/mcp/servers/guimatheus92/mcp-video-analyzer
docs_sitehttps://glama.ai/mcp/servers/guimatheus92/mcp-video-analyzer
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

74Good · 16% of overall

Security posture

68Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/14 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages282
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the npm:mcp-video-analyzer@0.10.1 runtime dependency closure — what installing the published package pulls in — 282 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

91Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://glama.ai/llms.txt)
40/40Legible commit history — 40 of 51 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://glama.ai/llms.txt
legible_history_share0.784
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes3,299

Verify loop (build / test / typecheck)

77Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js
11/11Static type checking — tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 49 of the last 67 commits agent-authored or agent-credited
8/8Automated maintenance — 16 of the last 67 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share0.731
toolchain_manifests—
dependency_bot_commit_share0.239

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
55/55Manageable file sizes — 0/122 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes25,385
source_files_sampled122
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

61GitHub stars
4contributors
67commits, last 12 months
0days since last push
19releases
1bus factor
0open issues
npmpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 14 ⇿
0Stars
14Forks
11Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

03581013151412026-032026-062026-09
Major 0Minor 8Patch 3
OpenSSF Scorecard 6.8 / 10
6.8aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-14 05:30 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/14 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
npmcheerio^1.2.0package.json
npmfastmcp^4.15.1package.json
npmffmpeg-static^5.3.0package.json
npmpuppeteer-core^25.8.0package.json
npmsharp^0.35.3package.json
npmtesseract.js^7.0.0package.json
npmzod^4.3.6package.json
All dependencies 548

Full resolved dependency set from the GitHub dependency graph: 8 direct and 540 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npmcheerio1.2.0direct
npmfastmcp4.20.9direct
npmffmpeg-static5.3.0direct
npmpuppeteer-core25.10.0direct
npmsharp0.35.4direct
npmtesseract.js7.0.0direct
npmzod3.25.76direct
npmzod4.6.1direct
npm@apidevtools/json-schema-ref-parser14.0.1indirect
npm@apidevtools/openapi-schemas2.1.0indirect
npm@apidevtools/swagger-methods3.0.2indirect
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npm@rolldown/binding-freebsd-x641.2.4indirect
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npm@rolldown/binding-linux-arm64-gnu1.2.4indirect
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Dependency advisories 0

Installing npm:mcp-video-analyzer@0.10.1 pulls in 282 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — npm.