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PopNx MCPMCP servers for people who use AI · explained in plain words

Scribefy

by MKirovBGversion 0.3.5i★ –iRuns on your computer
Registry nameio.github.MKirovBG/scribefy-mcp

Install

Overview

Description from the maker (original English)

Search YouTube, get video metadata, and extract timestamped transcripts for AI workflows.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media
  • You need to fill in: SCRIBEFY_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: SCRIBEFY_API_KEY, SCRIBEFY_API_BASE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

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": {
    "scribefy": {
      "command": "npx",
      "args": [
        "-y",
        "scribefy-mcp"
      ],
      "env": {
        "SCRIBEFY_API_KEY": "your-value",
        "SCRIBEFY_API_BASE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add scribefy --env SCRIBEFY_API_KEY=your-value --env SCRIBEFY_API_BASE=your-value -- npx -y scribefy-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "scribefy": {
      "command": "npx",
      "args": [
        "-y",
        "scribefy-mcp"
      ],
      "env": {
        "SCRIBEFY_API_KEY": "your-value",
        "SCRIBEFY_API_BASE": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "scribefy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "scribefy-mcp"
      ],
      "env": {
        "SCRIBEFY_API_KEY": "your-value",
        "SCRIBEFY_API_BASE": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • SCRIBEFY_API_KEY secret required env
    Scribefy API key (sk_live_… or sk_test_…) from scribefy.app/dashboard. Available on the API + MCP plan.
  • SCRIBEFY_API_BASE env
    Override the API base URL. Defaults to https://api.scribefy.app.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account MKirovBG, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 3597 servers in this category
  • Published to the registry more recently than 10% of the other 3597 servers in this category
  • Basic checks equal to or better than 100% of the other 3597 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Scribefy safe?

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.

What keys or codes does it need?

You need to fill in: SCRIBEFY_API_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.5) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

MCP YouTube Transcript

An MCP server retrieving transcripts of YouTube videos

by jkawamotoGrowing★ 495Updated 11 days ago

Runs on your computer

Google Analytics MCP

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

by surendranbGrowing↓ 1.1K/wk★ 244Updated 11 days ago

Runs on your computer

BibiGPT YouTube Video Summarizer

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

by JimmyLvEarly★ 137Updated 11 days ago

Runs in the cloud✓ bibigpt.co

README from the maker

Open the README

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.

scribefy-mcp

MCP server for Scribefy — extract YouTube transcripts from Claude Desktop, Cursor, Windsurf, ChatGPT custom GPTs, or any other MCP-compatible client.

Live now — set it up in a minute below, or try the web app at [scribefy.app](https://scribefy.app).

Why

Most YouTube transcript tools live in browser extensions or one-off web UIs. This wraps Scribefy's API into the MCP standard so your AI assistant can pull a transcript whenever a user pastes a YouTube link — no manual copy-paste, no separate tabs.

Requirements

  • Node 20+
  • A Scribefy account on the API + MCP plan ($25/mo) for an API key. You can install without a key first — the MCP host registers the server cleanly and you'll get a friendly nudge when you try to use a tool — then add your key from scribefy.app/dashboard to start extracting.

Setup

Claude Desktop

Open the config file (Settings → Developer → Edit Config):

{

"mcpServers": { "scribefy": { "command": "npx", "args": ["-y", "scribefy-mcp"], "env": { "SCRIBEFY_API_KEY": "sk_live_…" } } } }

Restart Claude Desktop. The extract_transcript tool appears in the available-tools panel.

Cursor

Settings → Cursor Settings → MCP → Add new MCP server:

{

"scribefy": { "command": "npx", "args": ["-y", "scribefy-mcp"], "env": { "SCRIBEFY_API_KEY": "sk_live_…" } } }

Windsurf

~/.codeium/windsurf/mcp_config.json:

{

"mcpServers": { "scribefy": { "command": "npx", "args": ["-y", "scribefy-mcp"], "env": { "SCRIBEFY_API_KEY": "sk_live_…" } } } }

Anywhere else

Any MCP host that supports stdio transport: spawn npx -y scribefy-mcp with SCRIBEFY_API_KEY in the env. The server speaks the standard MCP JSON-RPC over stdin/stdout.

Tools exposed

Four tools. Three are free (research toolkit); only extract_transcript charges credits.

extract_transcript

Pulls the transcript of a YouTube video.

ParameterTypeRequiredDescription
urlstringyesFull YouTube URL — youtube.com/watch?v=…, youtu.be/…, or youtube.com/shorts/…
langstringnoBCP-47 language code (e.g. en, es, fr, zh-Hans). Defaults to en

Returns: Markdown with title, channel, duration, language, and the transcript split into segments with timestamps.

Cost: 1 credit (≤15 min) → 8 credits (2 h+). Cached transcripts are free.

search_videos

Free-text YouTube search.

ParameterTypeRequiredDescription
querystringyesSearch query — same syntax YouTube's own search bar accepts
limitnumbernoMax results, 1–25 (default 10)

Returns: Markdown list of title / channel / duration / views / URL for each result.

Cost: Free.

get_video_metadata

Title, channel, duration, view count, upload date, and available caption tracks. Does not pull the transcript.

ParameterTypeRequiredDescription
urlstringyesFull YouTube URL

Returns: Markdown summary plus a list of every caption track (authored ✏ or auto-generated ⚙) with its language code.

Cost: Free. Use this to inspect a video before deciding whether to extract, or to discover which caption languages are available.

get_related_videos

YouTube's "Up next" feed for a video.

ParameterTypeRequiredDescription
urlstringyesFull YouTube URL of the seed video
limitnumbernoMax related videos, 1–25 (default 10)

Returns: Same shape as search_videos.

Cost: Free.

Tools coming in a future release

list_channel_videos and get_video_comments were planned for 0.3.0 but are deferred to 0.4.0 while we wait for upstream youtubei.js to publish fixes for YouTube's 2026 response-shape changes. Channel listing fails with HTTP 400 at the InnerTube layer, and info.getComments() is no longer attached to parsed VideoInfo. Both will return as soon as the library catches up.

Skills

The repo ships an Agent Skill (a SKILL.md your assistant loads on demand) that teaches it how to use these tools *well* — vet candidates with the free tools before spending credits, prefer authored captions, lean on the free transcript cache, and cite answers with timestamps.

  • skills/youtube-research — the YouTube research workflow: search → vet metadata → extract selectively → synthesize with [mm:ss] citations.

To use it in Claude Code, copy the folder into your project's .claude/skills/ (or ~/.claude/skills/ to have it everywhere). Open Plugins-compatible hosts detect it straight from the repo.

Configuration

Env varRequiredDefaultNotes
SCRIBEFY_API_KEYyes—sk_live_… (production) or sk_test_… (Scribefy test mode)
SCRIBEFY_API_BASEnohttps://api.scribefy.appOverride for staging (https://api-staging.scribefy.app) or self-hosted instances

Troubleshooting

`SCRIBEFY_API_KEY is required` Make sure the env block is set in your MCP host's config and the host actually loads it. Some hosts strip env vars by default — check their docs.

`Scribefy rejected the API key` Either the key is wrong, the key was revoked, or your subscription is no longer on the API + MCP plan. Check scribefy.app/dashboard.

`Not enough credits` The tool returns the remaining balance and the cost in the error message. Top up at scribefy.app/pricing.

The tool doesn't show up in my MCP client After editing the config, fully restart the client (not just the chat window). Tail the client's logs if available — most show MCP stderr there. The server prints scribefy-mcp: ready once it boots.

License

MIT

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