MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Self-hosted technical SEO audit MCP. 50+ checks, WAF detection, ephemeral. Built on LibreCrawl.
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.
The maker has not listed install details in the registry. See the maker’s README below.
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 8, 2026
The registry name was verified with the GitHub account adityaarsharma, 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 (2.0.5) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
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.
Ask your AI assistant to audit a website. Get the technical SEO problems back, ranked by impact, with a plain fix for each.
This repository is the Sitewalk MCP server and nothing else: a Python server that drives the open-source LibreCrawl crawler, runs 30+ technical SEO checks, and hands your AI assistant a ranked report plus a zip of PDF and CSVs. It runs on your own machine, with no account, no sign-in and no page cap. Nothing leaves your machine except the requests the crawler makes to the site you audit.
Prefer not to host anything? The same audit is available as an app inside ChatGPT.
You need Docker running. Then:
git clone https://github.com/adityaarsharma/sitewalk.git
cd sitewalk ./setup.sh
The script checks your machine, asks one optional question (a Google PageSpeed key), builds and starts the stack, waits until the MCP server answers, and prints exactly how to connect your assistant. The first build takes a few minutes.
| Command | What it does |
|---|---|
./setup.sh | Guided setup |
./setup.sh --yes | Same, no questions |
./setup.sh --check | Only check that your machine can run it |
./setup.sh --update | Pull the newest release and rebuild |
./setup.sh --stop | Stop it (your reports are kept) |
Without Docker, see the manual route in docs/GETTING-STARTED.md.
The server listens on http://127.0.0.1:5081/mcp (streamable HTTP).
mcp-remote:{
"mcpServers": { "sitewalk": { "command": "npx", "args": ["-y", "mcp-remote", "http://127.0.0.1:5081/mcp"] } } }
Then ask: Audit https://yoursite.com for technical SEO problems.
./reports.| Guide | What is inside |
|---|---|
| Getting started | Docker and manual setup, connecting clients, your first audit |
| Configuration | Every environment variable, HTTP and stdio transport |
| Tools | All 38 MCP tools |
| Checks | The 30+ checks and the report files |
| Architecture | How the pieces fit |
| Troubleshooting | Common errors and fixes |
Every change to the code that lands on main is tested and published as a new GitHub release automatically. Update with ./setup.sh --update.
Code is MIT: see LICENSE and NOTICE.md. Built on LibreCrawl (MIT), FastMCP and WeasyPrint. No telemetry.
Built by Aditya Sharma.