MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Mailchimp engagement intelligence for AI agents: campaign analytics and audience insights.
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.
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Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://spacemonkey.igods.com/_api/public/v1/mcpFühre das in deinem Terminal aus
claude mcp add --transport http space-monkey https://spacemonkey.igods.com/_api/public/v1/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"space-monkey": {
"url": "https://spacemonkey.igods.com/_api/public/v1/mcp"
}
}
}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": {
"space-monkey": {
"type": "http",
"url": "https://spacemonkey.igods.com/_api/public/v1/mcp"
}
}
}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.
ChatGPT verbindet sich nur mit Servern im Internet:
https://spacemonkey.igods.com/_api/public/v1/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 9. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
sm_list_projectsResolve which Space Monkey projects this API key can read. Call this first when the user names a company rather than a project ID, and match on companyName — never silently mix projects.
sm_get_accountIntrospect the API key's own account — effective tier, per-service entitlements, current hour/month quota usage and project count. Use it to check headroom or diagnose a 403/429 before retrying.
sm_list_leadersRank the most engaged members of a project by engagement percentile. Use when you need who is paying attention right now, filtered by rep, tag, rating, status or bot/insider rules. engagementScore is a 0-100 percentile here (at-risk tools use a raw score that can go negative), me
sm_list_at_riskFind previously engaged members whose recent activity has collapsed, for building save lists. Note its engagementScore is a raw decayed score that can be negative, unlike the leaders percentile.
sm_list_membersBrowse or search a project's full member directory. Use when you need people by rating, tag, status or free-text search rather than by engagement rank.
sm_get_memberLoad one member's full profile — title, company, tags, clicked URLs, engagement percentile, at-risk state and bot detection. Use for pre-call briefs and to enrich a shortlist.
sm_get_member_campaignsList the individual campaigns one member received, opened or clicked. This email-level drill-down is often empty even for highly engaged members, so always keep a fallback. For the inverse view — the members who responded to one campaign — use sm_list_campaign_responders.
sm_get_member_timelineReplay one member's raw activity events in time order. Use to establish when someone last paid attention and what triggered it.
sm_list_campaignsList a project's campaigns with performance metrics. Use to map a member's lastActivityAt onto a real send, or to find the latest house send by send_time.
sm_get_campaignLoad one campaign's full report — delivery, open, click, click-to-open and bounce rates plus campaign metadata. Use after you have identified a campaign of interest. Returns a fixed-size set of campaign-level aggregates in one call regardless of audience size; per-variant, funnel
sm_get_variateAnalyse a variate (A/B) campaign — per-variant reports, statistical significance, engagement velocity, audience quality and geo split. Only meaningful for multivariate campaigns. All metrics come from synced BigQuery tables rather than a live Mailchimp read, so they are only as c
sm_get_campaign_post_mortemProduce a full post-mortem of one sent campaign: summary metadata, delivery and performance rates, engagement velocity (time-to-first-open and hourly engagement), audience quality, and per-variant breakdown when the campaign is an A/B test. Combines the detail, velocity, audience
sm_list_campaign_respondersList the members who registered a tracked response to one campaign — opened, clicked, bounced or unsubscribed — never the full send list; emailsSent is echoed so the unenumerated majority stays visible as a denominator. Narrow with action (clicked-only is usually a fraction of re
sm_get_insights_basicGet headline campaign and audience performance for a project: per-campaign performance table, single-campaign detail, list overview, engagement and send-volume trends, subscriber-growth series, and period-over-period averages. Start here for "how are we doing". Excludes engagemen
sm_get_insights_advancedGet deeper audience analytics for a project: engagement distribution, tag and segment summaries, subscriber-growth baseline with churn decomposition, and campaign consistency. Use when basic insights cannot explain a change. Excludes the per-campaign performance table, single-cam
sm_get_insights_expertGet expert diagnostics explaining why performance is moving: campaign fatigue, subject-line keywords, timezone-aware send-time heatmap, monthly trend and audience health, plus engagement distribution and campaign consistency (also available from sm_get_insights_advanced). Use onl
sm_get_member_overviewGet aggregate audience composition for a project — totals plus status, rating, rep and language breakdowns. Use for a quick shape-of-the-list answer. Not paginated: totals and the status and rating breakdowns cover every member, but the language list is truncated to the top 20 an
sm_get_member_growthGet signup cohorts, churn timeline and cohort retention. Use for list-growth and attrition questions. A cohortRetention row is the current status breakdown of members who signed up in that month, not retention at month N after signup; signup month falls back to last-changed or sy
sm_get_member_segmentsGet tags and segments with their engagement and status breakdowns. Use to turn an event or interest tag into a working audience. Every tag and segment is returned in one unpaginated call, but untagged members are excluded from the tag list and surface only as a separate untaggedC
sm_get_member_geoGet the country and region distribution of a project's members. Use for territory, event and travel-planning questions. Country is inferred from the member's region where possible (US states and Canadian provinces map to US and CA) before falling back to stored country data, with
sm_list_sync_runsList recent data-pipeline sync runs with status and results. Operational tool for checking data freshness before trusting an analysis. Results are paginated with pageSize capped at 100 rows.
sm_get_sync_runLoad one sync run's full detail — per-stage results, progress, lookback window and pending batch count. Use after sm_list_sync_runs to explain why data is stale or a run failed. Failure detail lands in one of two places and rarely both: orchestration failures set run.errorMessage
sm_get_knowledgeReturns Space Monkey's MCP knowledge documents (analyst preamble, metric guardrails, live OpenAPI schema URL) as tool output for clients that cannot read MCP resources — read this before interpreting any Space Monkey metrics.
sm_get_schemaGet the Enterprise API's OpenAPI-derived schema catalog. Omitting `operation` returns a compact index of every Enterprise API operation; passing a tool name, full path, or path suffix returns that one operation's full parameters and resolved response schemas. Use before calling a
sm_list_promptsList the Space Monkey prompt workflows: user-invocable recipes that chain sm_ tools into this week's sales actions (build call sheets, strike after a send, save cooling leaders, harvest an event, brief before a call). Each entry lists its arguments and its category. Use sm_get_pr
sm_get_promptRender one Space Monkey prompt workflow with concrete argument values, returning the complete instruction text ready to follow, plus the effective arguments that were bound (provided values plus defaults for omitted optionals). Prompt names and their arguments come from sm_list_p
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 9. Nov. 2026
Der Herausgeber (igods.com) ist nicht der Repo-Inhaber (CameronKnowlton); vielleicht hat jemand anderes ihn eingetragen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
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Wir haben 26 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 2 von 3 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.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.2.0) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
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:↓ Downloads pro Wochei★ 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.
Keine README im Repo gefunden