MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Per-URL SEO verdicts from GSC, GA4, Matomo, Clarity, AI citations: refresh/expand/merge/kill.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
GSC_SERVICE_ACCOUNT_JSON, GSC_SITE_URL, MATOMO_URL, MATOMO_TOKEN, MATOMO_SITE_ID, GA4_PROPERTY_ID, GA4_SERVICE_ACCOUNT_JSON, CLARITY_PROJECT_ID, CLARITY_API_TOKEN, POSTS_SITEMAP_URL, POSTS_LIST, GHOST_ADMIN_API_URL, GHOST_ADMIN_API_KEY, CITATION_INTELLIGENCE_URLAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"seo-performance": {
"command": "npx",
"args": [
"-y",
"@automatelab/seo-performance-mcp"
],
"env": {
"GSC_SERVICE_ACCOUNT_JSON": "your-value",
"GSC_SITE_URL": "your-value",
"MATOMO_URL": "your-value",
"MATOMO_TOKEN": "your-value",
"MATOMO_SITE_ID": "your-value",
"GA4_PROPERTY_ID": "your-value",
"GA4_SERVICE_ACCOUNT_JSON": "your-value",
"CLARITY_PROJECT_ID": "your-value",
"CLARITY_API_TOKEN": "your-value",
"POSTS_SITEMAP_URL": "your-value",
"POSTS_LIST": "your-value",
"GHOST_ADMIN_API_URL": "your-value",
"GHOST_ADMIN_API_KEY": "your-value",
"CITATION_INTELLIGENCE_URL": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add seo-performance --env GSC_SERVICE_ACCOUNT_JSON=your-value --env GSC_SITE_URL=your-value --env MATOMO_URL=your-value --env MATOMO_TOKEN=your-value --env MATOMO_SITE_ID=your-value --env GA4_PROPERTY_ID=your-value --env GA4_SERVICE_ACCOUNT_JSON=your-value --env CLARITY_PROJECT_ID=your-value --env CLARITY_API_TOKEN=your-value --env POSTS_SITEMAP_URL=your-value --env POSTS_LIST=your-value --env GHOST_ADMIN_API_URL=your-value --env GHOST_ADMIN_API_KEY=your-value --env CITATION_INTELLIGENCE_URL=your-value -- npx -y @automatelab/seo-performance-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"seo-performance": {
"command": "npx",
"args": [
"-y",
"@automatelab/seo-performance-mcp"
],
"env": {
"GSC_SERVICE_ACCOUNT_JSON": "your-value",
"GSC_SITE_URL": "your-value",
"MATOMO_URL": "your-value",
"MATOMO_TOKEN": "your-value",
"MATOMO_SITE_ID": "your-value",
"GA4_PROPERTY_ID": "your-value",
"GA4_SERVICE_ACCOUNT_JSON": "your-value",
"CLARITY_PROJECT_ID": "your-value",
"CLARITY_API_TOKEN": "your-value",
"POSTS_SITEMAP_URL": "your-value",
"POSTS_LIST": "your-value",
"GHOST_ADMIN_API_URL": "your-value",
"GHOST_ADMIN_API_KEY": "your-value",
"CITATION_INTELLIGENCE_URL": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"seo-performance": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@automatelab/seo-performance-mcp"
],
"env": {
"GSC_SERVICE_ACCOUNT_JSON": "your-value",
"GSC_SITE_URL": "your-value",
"MATOMO_URL": "your-value",
"MATOMO_TOKEN": "your-value",
"MATOMO_SITE_ID": "your-value",
"GA4_PROPERTY_ID": "your-value",
"GA4_SERVICE_ACCOUNT_JSON": "your-value",
"CLARITY_PROJECT_ID": "your-value",
"CLARITY_API_TOKEN": "your-value",
"POSTS_SITEMAP_URL": "your-value",
"POSTS_LIST": "your-value",
"GHOST_ADMIN_API_URL": "your-value",
"GHOST_ADMIN_API_KEY": "your-value",
"CITATION_INTELLIGENCE_URL": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
GSC_SITE_URL envMATOMO_URL envMATOMO_SITE_ID envGA4_PROPERTY_ID envCLARITY_PROJECT_ID envPOSTS_SITEMAP_URL envPOSTS_LIST envGHOST_ADMIN_API_URL envCITATION_INTELLIGENCE_URL envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto AutomateLab-tech bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: GSC_SERVICE_ACCOUNT_JSON, MATOMO_TOKEN, GA4_SERVICE_ACCOUNT_JSON, CLARITY_API_TOKEN, GHOST_ADMIN_API_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.1) kam vor 11 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Know which blog posts to refresh, expand, merge, or kill - without guessing.
A MCP server that turns your scattered SEO and analytics data into one clear verdict per URL. Plug it into Claude, Cursor, or any MCP-aware client and ask: "Which three posts should I update this week?" - and get an answer backed by hard numbers.
seo-performance-mcp unifies post-publish signals from every channel you already pay for:
It then runs a deterministic rule engine over those signals and emits a verdict per URL:
refresh/expand/merge/kill/double_down/hold
with reason codes, evidence, and a 0-1 confidence score. Reporting only - the server never mutates your posts.
Most content teams have analytics in five tabs and a gut feeling. That's how good posts rot quietly, mediocre posts get over-promoted, and the obvious "rewrite this one" is invisible until traffic has already cratered.
This MCP closes the loop:
src/verdict/rules.ts.After one cohort run you have:
npx -y @automatelab/seo-performance-mcp
In a Claude, Claude Code, or Cursor MCP config:
{
"mcpServers": { "seo-performance": { "command": "npx", "args": ["-y", "@automatelab/seo-performance-mcp"], "env": { "POSTS_SITEMAP_URL": "https://example.com/sitemap.xml", "GSC_SERVICE_ACCOUNT_JSON": " ", "GSC_SITE_URL": "sc-domain:example.com", "MATOMO_URL": "https://example.com/analytics", "MATOMO_TOKEN": "...", "MATOMO_SITE_ID": "1", "GA4_PROPERTY_ID": "123456789", "GA4_SERVICE_ACCOUNT_JSON": " ", "CLARITY_PROJECT_ID": "...", "CLARITY_API_TOKEN": "...", "CITATION_INTELLIGENCE_URL": "https://citation.example.com" } } } }
Every env var is optional. Adapters that lack their env config skip their slice of the snapshot; the server still boots. The verdict engine works on whatever slices are present.
Point it at any site, no CMS plugin required. The post-discovery layer resolves in priority order:
{url, title?, published_at?, tags?, word_count?}. Use this when you already have a content index and want exact control.GHOST_ADMIN_API_URL and GHOST_ADMIN_API_KEY are set, Ghost is used as a richer metadata source. Optional.og:title, article:published_time, and JSON-LD datePublished are read live from the URL.POSTS_SITEMAP_URL to your sitemap (or sitemap index) and the server enumerates posts from + .Most users only need POSTS_SITEMAP_URL. WordPress, Hugo, Astro, Next.js, Webflow, Framer, Wix, Squarespace, Notion-as-a-site, Substack-mirror sites all expose a sitemap by default.
To add a brand-new platform: nothing to build - just point POSTS_SITEMAP_URL at it.
| Tool | What it returns |
|---|---|
posts_list | Posts with {url, title, age_days, tags} from sitemap, Ghost, or your POSTS_LIST. |
posts_snapshot | Per-URL unified rollup for a 30/60/90-day window: GSC + Matomo + GA4 + Clarity + citations + meta. |
posts_decay_curve | Weekly GSC clicks/impressions/position buckets + a decay/plateau/growth trend label. |
posts_verdict | Verdict (refresh/expand/merge/kill/double_down/hold) + reason codes + 0-1 confidence. |
posts_refresh_brief | Markdown brief for a human or downstream LLM editor: numbers, top queries, suggested actions. |
cohort_report | Cohort verdict table sorted by priority + confidence. "Which three posts should I refresh this week?" |
posts_cite_loss | LLM citations that dropped off for a given URL. Needs CITATION_INTELLIGENCE_URL. |
gsc_quick_wins | (page, query) pairs at positions 5-15 with low CTR - fastest title-rewrite wins. |
Run any of the tools on a cron from CI and post the output to a GitHub Issue, Discussion, or PR. The action is published on the GitHub Marketplace.
- uses: AutomateLab-tech/seo-performance-mcp@v1
with: tool: cohort_report format: markdown input: '{"window": 90, "min_age_days": 90, "limit": 20}' gsc-service-account-json: ${{ secrets.GSC_SERVICE_ACCOUNT_JSON }} gsc-site-url: ${{ secrets.GSC_SITE_URL }} posts-sitemap-url: ${{ secrets.POSTS_SITEMAP_URL }}
Outputs:
| Output | Description |
|---|---|
result | Tool output as a multi-line string (markdown or JSON, per format). |
result-file | Path of the file the tool output was written to. Hand to peter-evans/create-issue-from-file etc. |
rows | For cohort_report with format: json only: number of rows returned. |
A complete weekly-audit workflow that opens a GitHub Issue with the cohort report is in examples/weekly-cohort-report.yml.
The package also ships a seo-perf-cli bin so you can run a single tool without an MCP client:
npx -p @automatelab/seo-performance-mcp seo-perf-cli cohort_report \
--input '{"window": 90, "limit": 20}' \ --format markdown
Same env vars as the MCP server. --format markdown is supported for cohort_report and posts_refresh_brief; other tools fall back to fenced JSON.
Three thin routing files ship in the repo so the LLM in your client knows *when* to reach for these tools:
skills/seo-performance/SKILL.md - tool-routing skill. Drop into ~/.claude/skills/seo-performance/ (or .claude/skills/ per project) to auto-load in Claude Code. Routes a single question to the right tool.skills/weekly-audit/SKILL.md - one-shot weekly audit playbook. Composes gsc_quick_wins + cohort_report + posts_cite_loss into a deduped, cross-signal ranked digest with proposed edits per URL. Drop in alongside the routing skill.cursor/rules/seo-performance.mdc - copy to .cursor/rules/seo-performance.mdc in any Cursor workspace.All optional. The MCP server works without them; they just shorten the "which tool do I call" round-trip.
The server exposes three prompts that bundle the playbook. Any MCP client (Claude Desktop, Claude Code, Cursor, Continue) can list and invoke them:
| Prompt | What it runs |
|---|---|
audit_cohort | cohort_report on posts >=90d, then posts_refresh_brief per refresh/expand/merge row. The weekly audit. |
find_quick_wins | gsc_quick_wins (positions 5-15) + per-URL posts_snapshot, then proposes verbatim-query meta_title rewrites. |
citation_loss_sweep | posts_cite_loss per URL, refresh_brief for any with losses, targeted H1/lead phrasing recommendations. |
Deterministic, rule-based, traceable. Reason codes:
ctr_below_position_expectedposition_driftdecay_30d_over_30pct / decay_60d_over_50pctstagnant_no_clicksthin_content_low_dwellrising_impressions_low_ctr / rising_clicks_continue_investmentcitation_loss / citation_growthduplicate_or_cannibalizinghigh_bounce_low_scrollfresh_post_too_youngThe mapping (reasons → verdict) and every threshold lives in src/verdict/rules.ts. Edit it, pin it in tests, ship your own rule book.
npm install
npm run dev # tsx src/index.ts npm run build # tsc npm test # vitest
MIT
See the maintenance guide for interpretation limits, current tool names where applicable, and reproducible verification.