MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
SEO site audits, issue search, Google visibility checks and improvement plans for your sites.
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": {
"sitedoctor": {
"command": "npx",
"args": [
"-y",
"@reneturcios/sitedoctor",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add sitedoctor -- npx -y @reneturcios/sitedoctor mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sitedoctor": {
"command": "npx",
"args": [
"-y",
"@reneturcios/sitedoctor",
"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": {
"sitedoctor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/sitedoctor",
"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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, 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 (0.1.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker 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.
sitedoctor is a small local bridge to DrUrls, a hosted service that audits websites for search visibility and on-page health. Instead of crawling anything itself, this package stands in front of the service's remote MCP endpoint: it presents the upstream tool list locally, exactly as captured, and passes each call through, returning whatever the upstream returns.
That split matters in practice. Scores, issue groups, visibility verdicts and fix plans all come from DrUrls' own crawls and data, so an answer you get through sitedoctor is the service's answer, not a local approximation. The bridge adds no scoring of its own and rewrites nothing on the way back.
This build serves a labelled subset of the captured surface: 10 of the 11 tools seen in the live capture. The omitted tool is hire_tester, which places a paid order for a human test; purchase execution is out of scope for this program, so the tool is deliberately absent, and a test asserts that absence. list_tester_offers remains — browsing the catalogue is a read, ordering from it is not.
list_tester_offers — browse the human-testing catalogue: mobile UX on a real handset, checkout runs, screen-reader passes, translation review and similar offers, each with its credit price, turnaround and deliverables. No arguments.list_sites — every site in the organisation with its latest completed audit: score, grade, issues, pages crawled, last scan time, and whether a scan is running. No arguments.get_site_report — a deeper look at one site (domain, required): latest score, issue counts by severity, the most frequent issue types, and social-network presence.find_issues — search open issues across all sites, or narrow with domain and with severity (CRITICAL, HIGH, MEDIUM, LOW or INFO). Results are grouped by site and issue type, with affected-page counts and an example.check_google_visibility — whether Google can index each site: noindex tags, robots blocks, sitemap errors, canonical problems, redirect chains and broken internal links from the last crawl. Optional domain for a single site.get_improvement_plan — the highest-impact fixes right now, ranked by severity and reach, with how-to-fix guidance. Optional domain.start_scan — launch a fresh audit of a site (url, required). The site is created in the organisation if needed, and the upstream plan quota is enforced upstream.get_scan_status — what is running now plus the last 10 finished or failed scans, with scores and errors. No arguments.generate_report — compile a full SEO report for one site (domain), or, without a domain, for the whole organisation.free_page_check — a free single-page audit of any public URL (url, required), with no account needed at the upstream, plus an upgrade field describing what the authenticated tools add.DRURLS_MCP_URL (optional) — override the upstream endpoint. Defaults to https://drurls.com/mcp. (The override hook is this rebuild's own labelled reconstruction.)DRURLS_API_KEY (optional) — when set, every upstream request carries Authorization: Bearer . When it is not set, no auth header is sent, matching the keyless capture this rebuild is based on. (The header behaviour is a labelled reconstruction; the registry record declares an Authorization header for the remote, but the capture was taken without one.) Account-scoped tools are served upstream under the caller's own credential.On the first tool call the client opens a streamable HTTP session upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name sitedoctor), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request, and the session is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read, and the message with the matching id wins.
Successful upstream results pass through verbatim, including any isError flag the upstream sets and any extra fields it adds. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with sitedoctor error: (this rendering is this rebuild's own labelled reconstruction).
Each tool is also a subcommand taking one JSON argument string (omit it for tools that take none):
npx @reneturcios/sitedoctor list_sites
npx @reneturcios/sitedoctor get_site_report '{"domain":"example.com"}' npx @reneturcios/sitedoctor free_page_check '{"url":"https://example.com"}' npx @reneturcios/sitedoctor --version
Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.
npx -y @reneturcios/sitedoctor mcp
MCP client config:
{
"mcpServers": { "sitedoctor": { "command": "npx", "args": ["-y", "@reneturcios/sitedoctor", "mcp"] } } }
docker run -i ghcr.io/cloudcorprecords/sitedoctor
docker run --rm ghcr.io/cloudcorprecords/sitedoctor --version
The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.
npm install
npm run build npm test npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
MIT — see LICENSE.