MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Track what people say about your product on Reddit, X, Hacker News, GitHub and more
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.
Du brauchst
Welche App nutzt du?
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://mcp.rumoro.dev/mcpFühre das in deinem Terminal aus
claude mcp add --transport http rumoro https://mcp.rumoro.dev/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"rumoro": {
"url": "https://mcp.rumoro.dev/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": {
"rumoro": {
"type": "http",
"url": "https://mcp.rumoro.dev/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://mcp.rumoro.dev/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 8. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
list_segmentsLists your saved audience segments, which are named people filters such as "Large accounts" or "Open to switching", with the current number of people in each. Also returns presets you can save with create_segment. To see who is in a segment, pass its id to list_people.
create_segmentSaves an audience segment with a name and a filter. The filter can use platforms, tags, follower range, minimum mentions or negative mentions, intents, keyword kinds the person did or did not mention, first seen within N days, and linkHosts they linked to. Members are worked out
update_segmentChanges a saved segment's name, description or filter. `filter` sets the full new filter.
delete_segmentDeletes a saved segment. The people in it are not changed.
list_viewsLists your saved views, which are named mention filters such as "Bug reports" or "Waiting on us". Pass a view's id as viewId to search_mentions to get exactly what it shows.
create_viewSaves a view with a name and a filter. The filter uses the fields of search_mentions, such as keywords or keyword kinds, platforms, status, relevant, sentiments, intents, languages, author tags, follower range, replies, link hosts, automated and free text. A list matches any valu
update_viewChanges a saved view's name, description or filter. `filter` sets the full new filter.
delete_viewDeletes a saved view and leaves its mentions untouched.
list_groupsLists the workspace's keyword groups, the default first. Groups organize keywords, for example by client, campaign or product. Every keyword is in one group, a group can hold a term once, and get_usage_breakdown with by=group shows each group's cost. externalId finds the group wi
get_groupReturns a keyword group by id, with its number of keywords.
create_groupCreates a keyword group with a name that is unique in the workspace. You can add externalId, your own unique id such as a client id. You can also add context, a company description saying who the business is, what it sells and to whom. The classifier reads it instead of the whole
update_groupChanges a keyword group's name, its externalId or its company description in context. Null clears externalId. Null clears context too, so the workspace profile applies again, and new mentions use the change right away. The default group can be renamed but takes no description, be
delete_groupDeletes a keyword group and all of its keywords, each as delete_keyword would, mentions included. The default group cannot be deleted. The answer says how many keywords were deleted.
search_mentionsSearches the workspace's mentions. You can filter by keyword, platform, status (open, ignored, done), relevant, minimum relevance, minimum confidence (0 to 1), sentiment, intent, text (q, in the post or the author's name) and time range (ISO 8601). You can also filter by one pers
get_mentionFetches one mention, classification included (relevance, sentiment, intents, confidence, uncertain, note).
list_mention_commentsThe comments under a mention's post, newest first, whether or not each names your keyword, with a light sentiment and intent read and mentionId when a comment is itself one of your mentions. Filled for new relevant mentions of keywords with comments on, from 30 minutes after the
update_mentionThe only way to change a mention. Set status to "ignored" when it is not interesting, "done" when handled, or "open" to reopen it. Assign it with assigneeId, or null to remove the assignment. Hide it from the feed until an ISO 8601 time with snoozedUntil, or null to bring it back
add_keywordCreates a keyword to track. kind is "brand" (default), "competitor" or "topic". platforms limits where it runs, all by default. New posts with the term are matched, classified and delivered. To narrow a common word, set `matching` (requiredTerms with requiredMode any or all, excl
update_keywordChanges a keyword. You can rename it with term: the new term is tracked from now on, with no look-back, and the keyword keeps its id, settings and what the old term found. You can set its platforms (a list, or null for all), mute or unmute it, change its kind, or set its classifi
duplicate_keywordCreates a new keyword with an existing keyword's settings. Give the new term, or the same term with another groupId, since a group tracks a term once. It copies the kind, platforms, context, every matching rule, the monthly mention cap and the comments setting. Review pages and f
get_analytics_summaryReturns summary counts for a period. Covers matched and relevant mentions, unique posts and people, sentiment, buying intent, questions, reach and triage. Reach sums followers where known. Triage gives open, ignored and done counts, mentions waiting over 24h, handled rate and med
get_analytics_seriesCounts matched, relevant and sentiment mentions per day or week (bucket, days by default up to 90 days). Returns one "total" series, or splits by="platform" or by="keyword" (top 20, rest as "other"). Period options match get_analytics_summary. compare=true adds `previous`, the pr
get_analytics_breakdownReturns a table grouped by `by`. That is platform, keyword, sentiment, intent, status (open, ignored, done), hour (weekday and hour in timezone, to see when people post) or person (the most active authors, with followers). Each row has matched, relevant, its percentage of the per
get_share_of_voiceCompares your brand with competitors. Returns each keyword with matches in the period, with matched, relevant, negative and buy-intent counts and its percentage of all brand and competitor matches. Topics are counted but not part of the split. The period works as in get_analytics
get_reviews_reportReports on the reviews your keywords collect from the App Store, Google Play, Trustpilot and Google over a period. Includes totals (reviews, average stars, star distribution, replies, open 1 and 2 star reviews), tags from unhappy reviews, and each review page's average stars per
list_alertsReturns every alert with its filter, mode, schedule and channels. The mode is instant, or hourly, daily or weekly for a digest.
get_alertFetches an alert by id. Includes delivery stats as well as its filter, mode, schedule and channels.
delete_alertDeletes an alert. Its channels remain and other alerts can use them. This cannot be undone. To keep the alert, disable it with update_alert enabled=false instead.
list_channelsLists alert destinations (Slack channels, Telegram chats, email lists, webhooks). Connect Telegram chats in the dashboard under Settings, Integrations. The API can't.
list_attentionLists items that need a person, latest first. Kinds are mention.spike (mentions jumped in the last hour), sentiment.negative_spike (24-hour negative share jumped), keyword.noisy (turned noisy) and channel.failing (recent sends all failed). Checks run hourly, and items resolve whe
dismiss_attentionMoves an attention item (att_... from list_attention) out of the open list for as long as its condition lasts.
create_alertCreates an alert. mode "instant" sends each matching mention as it arrives. "hourly" sends a digest of the previous UTC hour at five past, skips hours with no mention above the minimum, and takes no schedule and no email channel (only Slack, Telegram and webhooks). "daily" sends
update_alertChanges an alert's name, enabled, mode, schedule, filter or channelIds. filter and channelIds are replaced in full.
mute_authorsAdds authors to an alert's muted list and keeps the rest of the filter. Entries can be profile or post links, @handles, u/names, Bluesky DIDs or display names. Links are stored as the author's profile. Authors already on the list are skipped, and entries that don't name a person
unmute_authorsTakes authors off an alert's muted list and keeps the rest of the filter. Each entry can be the stored value or a link to the person's profile or posts. Authors not on the list are skipped.
list_keywordsLists the workspace's keywords with stats, polling status, matching rules and context, plus `total`. With no arguments you get all keywords, latest first. q searches the term and context. You can filter by kind, status (active, muted by someone, paused for balance, noisy when the
get_keywordFetches a keyword by id. Returns its setup (term, kind, platforms, matching rules, context, monthly cap, pausedForCap), its stats and how polling goes on each platform.
get_keyword_healthChecks whether a keyword earns its cost, over range 7d, 30d or 90d (default 30d). Returns a status with plain-word reasons. noisy is 20+ scored matches with under 30% relevant, quiet is 7+ days old with nothing relevant, new is under 7 days old, and the rest are healthy, capped o
delete_keywordStops monitoring a keyword and deletes its mentions, but keeps a post that another keyword also matched. Alerts that named it drop it, and an alert that named only this keyword is disabled instead of widening to all keywords. This cannot be undone. Muting with update_keyword mute
whoamiReturns the workspace this credential works in, the kind of credential (an API key or an OAuth sign-in), whether it can write, and the signed-in user if there is one. Call it once when a session starts, to name the workspace and learn whether write tools will work.
list_membersLists workspace members with their role (owner, admin, member), email and user id. Use the user id for assigneeId in update_mention and ownerId in update_person.
get_usageShows whether tracking is stopped or the balance is low, with the prepaid balance (ledger, pending mention charges, effective), daily spend and days left, running and balance-paused keywords, and matches today and over 30 days. Pricing is $0.008 per matched mention and $5 a month
get_usage_breakdownUsage and charges for a period in US cents at list price, grouped by one `by` per call. keyword (default) gives days charged, mentions billed and totalCents per keyword, with deleted keywords marked keyword.removed=true. platform and day also work. Pick a trailing `range` (7d, 30
list_ledgerShows the prepaid balance's history, latest first. Entries cover the welcome credit, top-ups, refunds, adjustments, and the daily keyword-day and mention debits. Debits carry their UTC settlement day and cumulative units. Cursor pages, limit up to 100. Funds are added on the dash
get_filtersReturns the workspace noise rules that run before any mention is stored, for every keyword. They exclude terms, authors and GitHub repositories, and allow or block subreddits. Rejected posts are never classified, sent or billed. Keywords add their own `matching` rules.
update_filtersChanges the workspace filters. These are excludedTerms (`*` at either end is a wildcard), excludedAuthors (links, handles or names), excludedRepos (owner/name or a github.com link), subreddits.only (allowed subreddits, and when set, excluded is ignored) and subreddits.excluded. E
get_companyReturns the company profile the classifier reads, with name, description, use cases, own accounts and the context text built from them for relevance scoring. A group with its own description replaces that text for its keywords (see list_groups).
update_companyChanges the company profile (name, description, useCases, accounts) or sets the classifier context yourself. Profile changes rebuild the context, and a context you set applies until the next profile change. The context affects relevance scores more than anything else, so keep it
list_peopleLists the authors of mentions of your keywords. Each has name, profile, platform, how many posts matched and how many scored relevant, sentiment split, first and last seen, and outreach status (owner, stage, last contacted). You can filter by platform or name, find one person by
get_personReturns one person from your audience with their counts, your tags, notes and mute, and their outreach status (owner, stage, last contacted). It also has their public profile where the platform shows one, with bio, company, location, website and linked accounts. profile.email is
update_personChanges your workspace's details on a person. You can set their full tag list, notes, mute, the outreach owner (ownerId, a member's user id, or null to remove) and stage. Muting hides their posts from the feed and all channels. Collection and billing do not change.
merge_peopleTells your workspace that two accounts are the same individual by merging account `id` into person `into`. Their mentions, tags and notes are combined, and the merged account appears among the person's platforms.
split_personReverses a merge, so the account is a separate person again in your workspace.
list_activitiesShows who on the team has contacted a person, latest first. Each entry has the member, the channel, the time and a note. Channels are email, x, linkedin, bluesky, reddit, github, call, meeting and other. Look at this and the outreach owner before contacting someone, so teammates
log_activityLogs that someone on the team contacted a person, for example by email, direct message or call. A not_contacted person moves to contacted, and a person with no owner gets the contacting member as owner. A later stage or an existing owner stays, and update_person changes them. mem
delete_activityDeletes an outreach activity that was logged by mistake. The person keeps the same owner and stage.
get_mention_statsReturns mention counts for the past N days (7 by default), by platform and by sentiment. You can limit it to one platform or keyword. Mentions without a score are counted under the sentiment "unclassified".
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 Registry-Name wurde über die Domain rumoro.dev bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
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Wir haben 57 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 3 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 (1.0.1) kam vor 31 Tagen 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.
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.
Rumoro tracks what people say about your product, your competitors and your topics on Reddit, X, Hacker News, GitHub, YouTube, LinkedIn, Bluesky, Stack Overflow, DEV, TikTok, Instagram and news sites. Each mention is scored for relevance to your company.
The MCP server gives Claude, Cursor, Codex and any other MCP client access to your Rumoro workspace. Your agent can search and triage mentions, manage keywords and alerts, and read analytics, with 55 tools in total.
This repository holds the setup instructions and the server's MCP Registry entry. The server itself is hosted by Rumoro, so there is nothing to install or run.
https://mcp.rumoro.dev/mcp (streamable HTTP)dev.rumoro/mcpYou need a Rumoro account. Sign up at rumoro.dev; new accounts start with $5.80 of free credit.
claude mcp add --transport http --scope user rumoro https://mcp.rumoro.dev/mcp
Then run /mcp in Claude Code, pick rumoro, choose Authenticate and approve in the browser.
Open Customize › Connectors, choose Add › Add custom connector, paste https://mcp.rumoro.dev/mcp and sign in.
Add this to ~/.cursor/mcp.json, or to .cursor/mcp.json in one project:
{
"mcpServers": { "rumoro": { "url": "https://mcp.rumoro.dev/mcp" } } }
Cursor asks you to sign in the first time it uses the server.
codex mcp add rumoro --url https://mcp.rumoro.dev/mcp
codex mcp login rumoro
Any client that supports remote MCP servers over streamable HTTP can connect to https://mcp.rumoro.dev/mcp. Clients that support OAuth find the sign-in on their own.
For CI, servers or clients without a browser, create a key on the API keys page of the Rumoro dashboard and export it as RUMORO_API_KEY.
# Claude Code
claude mcp add --transport http rumoro https://mcp.rumoro.dev/mcp \ --header "Authorization: Bearer $RUMORO_API_KEY"
codex mcp add rumoro --url https://mcp.rumoro.dev/mcp \ --bearer-token-env-var RUMORO_API_KEY
In Cursor, add a header to the entry:
"rumoro": {
"url": "https://mcp.rumoro.dev/mcp", "headers": { "Authorization": "Bearer ${env:RUMORO_API_KEY}" } }
Once connected, ask your agent something like:
Prepaid, with no subscription. $5 per keyword per month plus $0.008 per matched mention. See rumoro.dev/pricing.
@rumoro-dev/sdkrumoro@rumoro-dev/cliIf the server won't connect or a tool behaves unexpectedly, open an issue in this repository or email markus@rumoro.dev.
The setup guide and registry entry in this repository are released under the MIT License. The Rumoro service itself is covered by its terms.