MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Sequenzy MCP server for AI-powered email marketing automation.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://api.sequenzy.com/v1/mcpRun this in your terminal
claude mcp add --transport http sequenzy https://api.sequenzy.com/v1/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sequenzy": {
"url": "https://api.sequenzy.com/v1/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"sequenzy": {
"type": "http",
"url": "https://api.sequenzy.com/v1/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://api.sequenzy.com/v1/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The publisher (polnikale) is not the repo owner (Sequenzy); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.0.80) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
Every published MCP tool includes explicit readOnlyHint, destructiveHint, and openWorldHint annotations so compatible clients can display accurate tool-use affordances. Tools also publish outputSchema definitions and return structuredContent, giving clients and models machine-readable result shapes for follow-up calls.
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
ChatGPT and the OpenAI plugin directory use the reviewed hosted surface:
https://api.sequenzy.com/v1/mcp/openai
That surface shares the same implementation and keeps the standard tool set except for six operations: connect_integration, create_api_key, create_webhook, list_webhook_deliveries, replay_webhook_delivery, and rotate_sequence_inbound_webhook_secret. Feedback stays available with a reduced schema for generalized, explicitly requested product feedback.
Remote clients should authenticate with the Sequenzy OAuth flow when supported. Local and automation clients can still use the stdio package below with SEQUENZY_API_KEY.
The hosted endpoint and the stdio package support MCP specification 2026-07-28 while remaining compatible with 2025-era clients. Modern HTTP clients use per-request discovery and method headers; existing clients keep working through the same endpoint and package command.
Machine-readable discovery files:
server.json.well-known/agent-card.jsonagent-capability.jsonopenclaw/skill.jsonSequenzy sends an MCP client only the data needed for the tool the user asks it to run, within the selected workspace and the key or OAuth scopes granted to that client. Depending on the requested tool, this can include workspace names and IDs; subscriber contact, consent, audience, attribute, event, engagement, reply, survey, and commerce data; campaign and automation content; delivery analytics; and integration or webhook status. See the Sequenzy Privacy Policy for the full categories, purposes, recipients, retention periods, and user controls.
Do not use open-ended custom attributes, events, notes, forms, webhook samples, email variables, or feedback to submit payment-card data, health or medical data, government identifiers, biometric or genetic data, authentication credentials, sensitive demographic data, or precise geolocation.
The OpenAI-reviewed route states and enforces those restrictions on relevant open-ended inputs, including nested attribute paths such as profile.ssn, coordinate pairs such as lat/lng, and labelled prose such as Religion: ... or GPS coordinates: .... It rejects a credential-bearing URL in any argument, whether the credential sits in the userinfo, path, query, or fragment, such as a form or popup redirectUrl with an access token or URL signature. Restricted attribute selectors inside merge tags are rejected without blocking ordinary authored copy about the same topic. On this surface, render_email accepts sample data or a policy-checked inline subscriber, but not subscriberId, so it cannot resolve uninspected stored custom attributes. Its results remove restricted fields, raw API errors, debug payloads, internal request/trace/session identifiers, unnecessary account or credential identifiers, stored credential-bearing URLs, and inbound-webhook URLs. Standard remote MCP and the local stdio package retain the complete contract for trusted clients, including credential-based integration setup, one-time API-key and webhook secrets, inbound-webhook URLs, and detailed API errors. Prefer the dashboard or local CLI when secrets should stay outside an AI conversation. submit_feedback runs only when the user explicitly asks; its OpenAI schema is limited to a generalized message, category, and optional workflow context, and the route rejects feedback text that contains an email address or resource ID.
What the reviewed surface guarantees is bounded. It recognizes restricted data by shape: English field-name words such as passport_id, user.ssn, or api_secret at any nesting depth, labelled prose such as Diagnosis: ..., known credential shapes, decimal coordinate pairs, and credential-bearing URLs inside any string, including HTML. It does not interpret unlabelled prose, non-English field names, or values a client deliberately obfuscates; those remain covered by the usage restriction above rather than by the filter.
All stdio MCP clients use the same command:
npx-y @sequenzy/mcpSEQUENZY_API_KEY=seq_user_your_key_hereOptional environment variables:
SEQUENZY_API_URL - Sequenzy API base URL. Defaults to https://api.sequenzy.com.SEQUENZY_APP_URL - Sequenzy dashboard base URL used by app URL helpers. Defaults to https://sequenzy.com.Add this to your Claude Desktop config:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "sequenzy": { "command": "npx", "args": ["-y", "@sequenzy/mcp"], "env": { "SEQUENZY_API_KEY": "seq_user_your_key_here" } } } }
Restart Claude Desktop after editing the config.
claude mcp add --scope user --env=SEQUENZY_API_KEY=seq_user_your_key_here sequenzy -- npx -y @sequenzy/mcp
On native Windows, wrap npx with cmd /c:
claude mcp add --scope user --env=SEQUENZY_API_KEY=seq_user_your_key_here sequenzy -- cmd /c npx -y @sequenzy/mcp
For a shared project config, use .mcp.json:
{
"mcpServers": { "sequenzy": { "command": "npx", "args": ["-y", "@sequenzy/mcp"], "env": { "SEQUENZY_API_KEY": "seq_user_your_key_here" } } } }
codex mcp add sequenzy --env SEQUENZY_API_KEY=seq_user_your_key_here -- npx -y @sequenzy/mcp
codex mcp list
Manual Codex config in ~/.codex/config.toml:
[mcp_servers.sequenzy]
command = "npx" args = ["-y", "@sequenzy/mcp"]
[mcp_servers.sequenzy.env] SEQUENZY_API_KEY = "seq_user_your_key_here"
Install Sequenzy from the Cursor Marketplace for a hosted connection with Sequenzy OAuth. The plugin connects to:
https://api.sequenzy.com/v1/mcp
After installing, complete the browser sign-in flow. Cursor's agent can then use Sequenzy tools from chat, including when Grok is the selected model.
For a manual local stdio setup instead, add this to ~/.cursor/mcp.json:
{
"mcpServers": { "sequenzy": { "command": "npx", "args": ["-y", "@sequenzy/mcp"], "env": { "SEQUENZY_API_KEY": "seq_user_your_key_here" } } } }
Use the same JSON shape as Cursor.
~/Library/Application Support/Windsurf/mcp.json%APPDATA%\Windsurf\mcp.jsonVS Code uses a servers object:
{
"servers": { "sequenzy": { "type": "stdio", "command": "npx", "args": ["-y", "@sequenzy/mcp"], "env": { "SEQUENZY_API_KEY": "seq_user_your_key_here" } } } }
For OpenClaw, Hermes, and other MCP-compatible clients, point the client at npx -y @sequenzy/mcp and set SEQUENZY_API_KEY.
Personal keys start with seq_user_. You can revoke them any time in the dashboard.
Company keys can also be cleaned up without exposing secrets. Call list_api_keys to compare the key ID, name, non-secret prefix, permissions, last-use timestamp, and isCurrent marker, then pass the exact ID to revoke_api_key. delete_api_key is a compatibility alias for the same permanent operation. List and revoke responses never contain the plain key or stored key hash.
If a tool reports a missing scope such as campaigns:read or templates:write, call get_account
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