MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者による説明(英語の原文)
Access your app analytics, ASO tools, and app market intelligence with Appfigures.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
APPFIGURES_API_KEY「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://mcp.appfigures.com/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"appfigures": {
"command": "npx",
"args": [
"-y",
"@appfigures/cli",
"mcp"
],
"env": {
"APPFIGURES_API_KEY": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http appfigures https://mcp.appfigures.com/mcpclaude mcp add appfigures --env APPFIGURES_API_KEY=your-value -- npx -y @appfigures/cli mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"appfigures": {
"url": "https://mcp.appfigures.com/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"appfigures": {
"command": "npx",
"args": [
"-y",
"@appfigures/cli",
"mcp"
],
"env": {
"APPFIGURES_API_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"appfigures": {
"type": "http",
"url": "https://mcp.appfigures.com/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"appfigures": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@appfigures/cli",
"mcp"
],
"env": {
"APPFIGURES_API_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://mcp.appfigures.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名はドメイン appfigures.com で確認済みです(レジストリがドメインの所有を確認しています)
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:APPFIGURES_API_KEY
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(4.0.0)がレジストリに届いたのは28 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
The Appfigures CLI — query app metrics, reviews, and store data from your terminal.
Try it now without installing:
npx @appfigures/cli auth login
npx @appfigures/cli apps search "youtube"
Bring Appfigures into your agent however it's built — as tools it calls, code it writes, a CLI, or over MCP. Whichever you pick, you can do the same things and get the same JSON back.
@appfigures/clinpm install -g @appfigures/cli
Requires Node.js 22+. Works with pnpm and yarn too.
appfigures auth login
appfigures --help
Also available as af alias.
af auth login --interactive opens your browser in a guided flow; approve and paste the code back.af auth login prints an authorization URL — open it, approve, and finish with af auth login --code using the code shown. An agent can drive this end to end. For unattended use, set APPFIGURES_API_KEY instead: create a token at appfigures.com/developers/keys by clicking Create a New Client, then Create Personal Access Token.Either login saves the token to your OS credential manager (macOS Keychain, Windows Credential Manager, Linux Secret Service). See Environment for APPFIGURES_API_KEY and other overrides.
Appfigures runs a hosted Model Context Protocol server at https://mcp.appfigures.com/mcp. Add it to any MCP client that supports remote servers and sign in with your Appfigures account when the client asks. There's nothing to install and no token to manage.
Claude Code. Add it with one command, then run /mcp to sign in:
claude mcp add --transport http appfigures https://mcp.appfigures.com/mcp
Claude (web and desktop). Add the URL as a custom connector. See Add a connector that isn't in the directory.
ChatGPT. Add the URL as a custom MCP server with OAuth. See Connecting Appfigures to ChatGPT.
Other clients. Add a remote (Streamable HTTP) server with the same URL. See your client's MCP documentation for where.
The hosted server shares Public Data access and credits with the API and CLI. For request limits and credit costs, see Appfigures API, CLI, and MCP: Access, Limits, and Public Data.
For scripts and headless agents that authenticate with APPFIGURES_API_KEY, run the af commands directly, or use @appfigures/agent-toolkit from code.
af mcp (deprecated)af mcp runs the same tools as a local stdio server. It's deprecated and will be removed in the next major release. Existing setups keep working until then, but it won't get new MCP features. Move to the hosted server above.
Find apps and look up their identity. Other commands take the app IDs these return.
| Command | Description |
|---|---|
| af apps search | Find apps by name or publisher. Returns one row per unified app. Default returns Apple and Google listings; pass --all-stores to include other storefronts. To filter apps by estimate values (e.g. apps with >100k downloads last month) use explorer list-products. For estimates broken down by time, country, or storefront, use metrics query with datasets estimates.sales or estimates.revenue. |
| af apps get | Get an app's record: basic metadata (name, developer, etc) and, if the user tracks it, what data they can access. Pass a product ID for one storefront; unified app ID for all storefronts together. |
| af apps tracked | List the apps your Appfigures account tracks. |
| af apps breakdown | Count your tracked apps by data group (e.g. sales, usage, ranks, reviews, keywords), storefront, monetization model, and source (yours vs tracked competitors), plus the total and earliest release date. |
Search and analyze the full app catalog: millions of products across Apple, Google Play, Amazon, and other major stores, with 120+ fields spanning identity, storefront and country availability, categories, ratings, release dates, chart ranks, download and revenue estimates, SDK presence, demographics, and related apps.
| Command | Description |
|---|---|
| af explorer list‑products | Read catalog fields for one app or many. Fields referenced by query or sort come back automatically; pass --extra-fields for more. Use ["match","product_id", ] for a single app, or combine filters for population queries (e.g. iOS apps using Firebase with $1M+ US revenue). The 120+ fields span ranks, ratings, download and revenue estimates, SDKs, demographics, and more; query grammar and field list in docs get catalog_playbook. |
| af explorer aggregate‑products | Aggregate across the full catalog of millions of products across Apple, Google Play, Amazon, and other major stores: counts, averages, min/max, and histograms over any set of matching products. Uses the same query grammar as explorer list-products; returns aggregates, not product records. For market sizing, benchmarking, and segment analysis. |
| af explorer describe‑fields | List the catalog fields and the current user's access level for each. Search by keyword to find fields. Same field set explorer list-products and explorer aggregate-products accept. |
Query numeric datasets across dimensions.
| Command | Description |
|---|---|
| af metrics query | Query any numeric dataset for one or more apps. Optionally grouped by up to two dimensions, returned as a nested partition tree, not app records. Independently filterable by country, device type, and date range. filterAppsBy* options narrow the app set (by ID, storefront, source, or type); without one, a query covers every app the account tracks. |
| af metrics describe‑datasets | List every numeric dataset metrics query accepts, one row per dataset with its value type and whether it's limited to your own apps. |
App store presence: listing content, category ranks, top charts, and featured placements.
| Command | Description |
|---|---|
| af store app‑ranks | Trace rank history for one or more apps across countries, device types, category subtypes, and categories, as time-series positions with day-over-day deltas. |
| af store top‑charts | List the top apps in a category chart for a given country and category, with current positions and day-over-day deltas. |
| af store categories | List every store category with its ID. Numeric category IDs required by store app-ranks --category-ids and store top-charts --category-id are available here. |
| af store featured | List featured and editorial placements for an app or storefront product. Request 0 rows for summary stats only. |
| af store app‑listing | Read the full store listing for one storefront: localized text (name, subtitle, description, release notes) plus screenshots, video, categories, monetization, supported devices, country availability, price, ratings, file size, and age rating. Takes a numeric product ID (one storefront at a time; a unified app has one product per storefront). One locale per request. |
Who an app's users are and what else they use. Covers estimated age and gender, plus audience overlap with other apps.
| Command | Description |
|---|---|
| af audience demographics | Read an app's audience demographics: the estimated age and gender breakdown. |
| af audience cross‑usage | Find the apps that an app's users also use. |
Search, summarize, and reply to iOS and Google Play app store reviews.
| Command | Description |
|---|---|
| af reviews list | Read individual reviews for one or more apps. Returns review text, star rating, country, app version, and your response. Filterable by star rating, date range, country, version, response status, and tracking relationship. |
| af reviews breakdown | Aggregate review counts for one or more apps, bucketed by dimension. Returns one count per dimension value, plus a global total across the matched set. |
| af reviews reply | Post or withdraw a developer response on a specific review. Pass content to post; pass delete: true to withdraw a previously-posted response. |
Keyword visibility, rank tracking, and discovery across organic search (App Store, Google Play) and Apple Ads.
| Command | Description |
|---|---|
| af keywords organic | Check the organic keywords one or more apps rank for, with position, popularity, and competitiveness. |
| af keywords paid | List the paid keywords one or more apps run ads on, with impression share and organic rank. |
| af keywords tracked‑ranks | View where all your tracked keywords rank for a single app+country combo, with each keyword's current position, movement since it last changed, starting position, popularity, and competitiveness. |
| af keywords tracked
冒頭だけを表示しています。続きはリポジトリで読めます