MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Sequenzy MCP server for AI-powered email marketing automation.
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.
SEQUENZY_API_KEY, SEQUENZY_APP_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.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://api.sequenzy.com/v1/mcpÖffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"sequenzy": {
"command": "npx",
"args": [
"-y",
"@sequenzy/mcp"
],
"env": {
"SEQUENZY_API_KEY": "your-value",
"SEQUENZY_APP_URL": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http sequenzy https://api.sequenzy.com/v1/mcpclaude mcp add sequenzy --env SEQUENZY_API_KEY=your-value --env SEQUENZY_APP_URL=your-value -- npx -y @sequenzy/mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"sequenzy": {
"url": "https://api.sequenzy.com/v1/mcp"
}
}
}In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"sequenzy": {
"command": "npx",
"args": [
"-y",
"@sequenzy/mcp"
],
"env": {
"SEQUENZY_API_KEY": "your-value",
"SEQUENZY_APP_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": {
"sequenzy": {
"type": "http",
"url": "https://api.sequenzy.com/v1/mcp"
}
}
}In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"sequenzy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@sequenzy/mcp"
],
"env": {
"SEQUENZY_API_KEY": "your-value",
"SEQUENZY_APP_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.
ChatGPT verbindet sich nur mit Servern im Internet:
https://api.sequenzy.com/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.
SEQUENZY_APP_URL envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Der Server verlangt eine Anmeldung, bevor er seine Tools auflistet.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Sequenzy bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 4983 ms (HTTP 401)
Gibt OAuth-Anmeldung an, damit deine KI-App dich zum Einloggen weiterleiten kann
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
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.
Das musst du eintragen: SEQUENZY_API_KEY
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.0.247) kam gestern 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.
Official MCP server for Sequenzy, the AI-powered email marketing platform.
Connect Sequenzy to Claude Desktop, Claude Code, Codex, Cursor, Windsurf, VS Code Copilot, OpenClaw, and other MCP clients so your AI assistant can manage email operations with structured tools instead of hand-written API calls.
In clients that support MCP Apps, including compatible ChatGPT and Claude connections, you can review your saved emails and sequences directly in the conversation.
render_email opens the rendered email with Desktop (640px) and Mobile (375px) views, its subject, preview text and personalization warnings. Pass a campaign ID, template ID, or sequence ID plus node ID using the existing tool inputs. It renders your saved content through Sequenzy's email renderer. Personalization and locale options remain available through the same tool.preview_sequence({ companyId, sequenceId }) opens the saved sequence as a connected diagram with triggers, delays, branches and actions. Select an email to render it, switch between available A/B variants, or use the Emails tab to browse the sequence's emails. Random splits show their configured allocation. Refresh reloads saved content, and failed requests offer an explicit retry.list_sequence_email_variations, generate_sequence_email_variations, list_campaign_variations and generate_campaign_variations open the design variations side by side, each rendered as it would send. While some are still generating, the view updates every few seconds for up to five minutes; after a generate call it follows only the new ones. Use for Email 1 and Use for every email (campaigns: Use this design) ask for confirmation, then save through use_sequence_email_variation or use_campaign_variation with your existing permissions and tell your assistant what changed. Nothing changes until you confirm.Supporting workflows use compact cards in the same Sequenzy style:
open_image_upload({ companyId }) opens an image picker. Choose a PNG, JPEG, GIF or WebP up to 10 MB, optionally describe it, then select Upload image. Opening the widget does not write anything. Submission uses upload_image_asset with your existing permissions and returns the saved asset to your assistant. After an uncertain failure, check your image library before retrying; uploads are never automatically retried.monitor_subscriber_import({ companyId, importId }) shows counts and progress for an existing import. It polls get_subscriber_import every five seconds while running, for up to five minutes. Completion, blocked status, errors or leaving the view stop polling. Refresh status restarts monitoring. This does not start or retry imports.Both widgets pin the company explicitly. Clients without MCP Apps can use upload_image_asset and get_subscriber_import directly; the same operations are available through the existing REST API and CLI.
The sequence preview requires an explicit company ID from get_account and keeps every email render pinned to that company. Previews never activate sequences, enroll subscribers or send email. A/B previews require the existing access to variant content; unavailable variants are shown as unavailable instead of being replaced with the control email.
Email content is isolated from the widget. Scripts, forms, nested frames and link navigation are disabled; external stylesheets and fonts are not loaded. HTTPS email images may load from their original hosts, subject to the client's policy. The widget itself bundles its logo and font and uses authenticated MCP tool calls without exposing credentials. Actual email-client rendering can differ, so use test sends for final inbox verification.
Clients without MCP Apps still receive the existing rendered HTML or sequence data. The same workflows are available through the existing public render and sequence-read endpoints and CLI render/sequence commands. No new REST endpoint or CLI command is needed for this presentation layer.
Use create_campaign_for_audience for a frozen group of selected contacts or all contacts matching contact/activity filters. It creates a blank draft, reports selected and currently eligible counts, and preserves existing campaign read/update/clear/schedule workflows. The limit is 100,000 contacts and 8 MiB; drafting sends no email.
app.geofence_* events for sequence triggers and geofence segment filters.Every published MCP tool includes explicit readOnlyHint, destructiveHint, idempotentHint, and openWorldHint annotations so compatible clients can display accurate tool-use affordances. Any write that overwrites, cancels, deletes, changes a live sequence, or can send email or SMS is marked destructive; tools that can email real contacts, publish a public link, or reach a third-party service are marked open-world. Tools also publish outputSchema definitions (except on the OpenAI-reviewed route) and return structuredContent, giving clients and models machine-readable result shapes for follow-up calls.
Tool failures retain isError: true and readable error text, and also return structuredContent with { success: false, error: { code, message, howToFix, docsUrl } }. HTTP errors include statusCode; a valid API Retry-After header adds retryAfterSeconds. These fields are omitted when unavailable. The OpenAI profile uses safe recovery descriptions and known codes or status-derived fallbacks, omitting raw backend diagnostics.
Use the error code and recovery guidance to choose your next step. The client retries a read (GET) up to 3 times within about 3 seconds after a 502, 503, 504 or network error, waiting out a Retry-After of 5 seconds or less, and never retries a write. After an uncertain send_email outcome, reuse the original idempotencyKey with unchanged input and inspect emailSendId when available. A retry hint alone does not mean repeating a write is safe.
Segment counts and segment-filtered reads fail with SEGMENT_REFERENCE_DEPTH_EXCEEDED or SEGMENT_REFERENCE_COUNT_EXCEEDED when segments reference other segments too deeply or too many times. Retrying does not help; reduce the nesting or the number of references with update_segment first.
Successful results keep their existing shapes. Recoverable partial subscriber event imports retain their counts and row failures without isError; inspect those rows before retrying failed records.
The easiest setup path is the Sequenzy wizard:
npx @sequenzy/setup
The wizard opens the browser login flow, creates a personal API key, detects supported AI clients, and configures them automatically when possible.
For clients that support Streamable HTTP MCP, use Sequenzy's hosted endpoint instead of running a local stdio process:
https://api.sequenzy.com/v1/mcp
The Sequenzy plugin in the ChatGPT plugin directory uses the reviewed hosted surface, which ChatGPT custom connectors can also add directly:
https://api.sequenzy.com/v1/mcp/openai
That surface shares the same implementation and keeps the standard tool set except for operations that accept or manage credentials, or return unprojected payloads: connect_integration, create_api_key, list_api_keys, update_api_key, revoke_api_key, delete_api_key, request_api_key_handoff, create_data_export, update_data_export, create_warehouse_connection, update_warehouse_connection, preview_warehouse_query, create_webhook, the geofence tools (list_geofences, get_geofence, create_geofence, update_geofence, delete_geofence, import_geofences; they carry place coordinates), list_webhook_deliveries, list_capture_submissions, replay_webhook_delivery, and rotate_sequence_inbound_webhook_secret. It also omits add_website, a compatibility alias of add_sending_domain, and submit_feedback. API keys, including the one behind the ChatGPT connection, are managed in the dashboard. The surface also omits subscription and upgrade links: subscriptionUrl fields, the get_app_urls subscription URL, and the emailBranding tier and upgrade action are removed, and get_app_urls rejects the billing and subscription settings tab aliases. The surface also omits the push credential tools set_apns_credentials and set_fcm_credentials, which take customer private keys as input, and register_push_device, an app-backend call whose required device token the surface's credential policy rejects.
Four tools use clearer names on this surface; standard MCP and the stdio package keep the original names:
| Standard MCP
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