MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Channel-safety for cold outreach: volume limits, SPF/DKIM/DMARC, spam-trigger auditing.
These three are never merged into one score: opinions, measurements and popularity are different things.
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
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"outreach-deliverability": {
"command": "npx",
"args": [
"-y",
"outreach-deliverability-mcp"
]
}
}
}Run this in your terminal
claude mcp add outreach-deliverability -- npx -y outreach-deliverability-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"outreach-deliverability": {
"command": "npx",
"args": [
"-y",
"outreach-deliverability-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": {
"outreach-deliverability": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"outreach-deliverability-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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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 registry name was verified with the GitHub account closermethod, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
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.
The channel-safety layer for cold outreach. Volume discipline, sender setup, spam auditing — so good messages actually arrive.
Disclaimer. Platform limits and filtering behavior change frequently; values are conservative practitioner ranges as of last verification, not platform guarantees. Legal notes (CAN-SPAM / GDPR / PECR / CASL) are orientation, not legal advice.
Most outbound fails before the copy is ever read. Burned domains, throttled LinkedIn accounts, and spam-foldered sends kill campaigns that any message audit would have passed. AI agents make this worse: they can generate 500 perfect emails an hour, and sending them is exactly how you lose the domain.
This MCP is the layer that keeps the channel alive. It does NOT send anything — it returns rules, checklists, and audits that an agent consults BEFORE and DURING a campaign.
The core diagnostic it encodes: deliverability problems masquerade as copy problems. A 1% reply rate usually isn't a bad hook — it's a foldered send. Fix order: infrastructure → list → message.
| Tool | What it returns |
|---|---|
get_channel_rules | Safe daily volumes, account setup, warmup protocol, kill signals, personalization floor, and legal basics per channel: email, LinkedIn, Instagram DM, X DM |
get_sender_setup_checklist | The 10-step cold-email infrastructure checklist: lookalike domains, SPF, DKIM, DMARC, mailboxes, warmup, list verification, tracking, compliance, monitoring |
audit_spam_triggers | Copy audit: 30+ flagged phrases, all-caps, exclamations, link count, attachments, money symbols, fake Re:/Fwd: — with a 0-100 risk score |
interpret_benchmark | Healthy/warning ranges for open rate, reply rate, bounce rate, LinkedIn acceptance, DM reply — with an optional direct read of your observed value |
diagnose_campaign | Given your observed metrics, names the failure layer (infrastructure vs list vs message) and the fix order |
get_full_pack | The complete library as one payload for full agent context |
// Campaign feels dead. Copy problem or channel problem?
mcp.call("diagnose_campaign", { channel: "email", open_rate: 31, reply_rate: 0.8, bounce_rate: 4.2 }); // Returns: failure layer = LIST. Bounce 4.2% > 3% is actively damaging the // domain; open 31% says sends are being foldered. Fix infrastructure and // list BEFORE touching the copy.
mcp.call("audit_spam_triggers", { text: "URGENT: Don't miss this LIMITED TIME offer!!! Click here..." }); // Returns: HIGH RISK, phrase + structural hits itemized.
Pair with outbound-engine-mcp: that one makes the message worth sending; this one makes sure it lands.
Elisabeth Hitz — 10+ years of B2B enterprise sales experience across ad-tech, SaaS, media, and global hiring. Now building MCP servers for the AI agent ecosystem.
License: MIT