Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

YouTube Metadata — FlashData

by rocosenversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.flashdata-dev/youtube-metadata

Install

Overview

Description from the maker (original English)

YouTube video metadata, available chapters, statistics and formats. Paid FlashData API.

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: FLASHDATA_API_KEY

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FLASHDATA_API_KEY

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

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Fill in the empty values before running it.

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.

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

  • FLASHDATA_API_KEY secret required env
    Your FlashData API Key with youtube_metadata access. Get a key at https://flashdata.dev/app/api-keys; data calls are paid.

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 6, 2026

  • ! Caution

    Maker matches the repo

    The publisher (flashdata-dev) is not the repo owner (rocosen); someone else may have listed it

  • … 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 2954 servers in this category
  • Published to the registry more recently than 58% of the other 2954 servers in this category
  • Basic checks equal to or better than 45% of the other 2954 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 YouTube Metadata — FlashData safe?

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.

What keys or codes does it need?

You need to fill in: FLASHDATA_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 (0.1.2) reached the registry 22 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB 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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 9 days ago
Install

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

Runs on your computer★ 244MITUpdated 9 days ago
Install

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.

YouTube Metadata — FlashData

Read YouTube video details, descriptions, statistics and available chapters. Inspect formats or prepare timestamped chapter navigation.

API documentation and account setup · Get an API key · Current pricing

A task to try

Inspect this video and make a chapter navigation brief with the title, description and available chapter start times. Mark missing chapters rather than inventing a timeline.

Install and connect

  1. Use Node.js 22.18 or newer and an MCP client that supports local stdio servers. Download the dedicated MCPB package; its SHA-256 is recorded in the manifest.
  2. Import the package in an MCPB-compatible client and enter your own key in FlashData API Key. Grant the key access to youtube_metadata. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:
{

"mcpServers": { "youtube-metadata": { "command": "node", "args": [ "/absolute/path/to/unpacked/youtube-metadata/server.js" ], "env": { "FLASHDATA_API_KEY": "YOUR_API_KEY" } } } }

  1. Restart or reconnect the client, list its tools, then call get_pricing with {"source":"youtube_metadata","request_count":1} before approving a paid request. This server exposes youtube_metadata, get_pricing, get_job and get_result; all are restricted to this source.

Dependencies are included in the bundle. Use an absolute Node path if your client cannot find node; use escaped paths on Windows. Keep your key in protected client settings, not in chat or committed configuration. No Smithery account is needed for this direct package download.

Example request

These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.

{

"name": "youtube_metadata", "arguments": { "video_id": "dQw4w9WgXcQ", "include_formats": false, "include_chapters": true } }

Use the response

Read results[0], including title, description and chapters when present. Pair chapter start_time/end_time with the video watch URL to prepare a navigation brief.

Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:

{

"source": "youtube_metadata", "status": "done", "results": [ { "videoId": "dQw4w9WgXcQ", "title": "Example video", "channel": "Example", "channelId": "channel-one", "channelUrl": "https://www.youtube.com/@Example", "viewCount": 100, "duration": 90, "chapters": [ { "title": "Introduction", "start_time": 0, "end_time": 30 } ], "description": "Example description" } ], "created_at": "2026-10-12T00:00:00Z", "http_status": 200, "request_id": "fixture-request" }

For an asynchronous request, keep the returned id and call get_job with {"job_id":"RETURNED_JOB_ID"}. Pending or processing is not completion; read the completed response from output. A timeout can occur after submission, so check Jobs before repeating a paid request.

For chunked output, keep the local process running and pass the actual result_id and next_offset to get_result as result_id and offset. Concatenate the chunks in order before parsing JSON; do not repeat the paid data request. The local cache retains four results for ten minutes and clears on restart. Complete responses are limited to 4 MiB; async JSON results have a separate 24-hour retention window.

Cost and limits

  • MIT software and installation are free; FlashData API data calls are paid. Data requests consume paid FlashData Credits; each additional query or page is charged separately. Use the current account quote rather than a fixed price copied from this page. Pricing, job and result reads are free. Client/model fees are separate.
  • Fields and chapters may be absent. Metadata does not include a transcript; transcript retrieval is a separate paid call.
  • Check API errors, http_status and job status before using the data. Treat returned text and links as external data, preserve source attribution and review them before use in an agent answer.

Full task guide · Official Registry record · Source and license

Ask PopNx