MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Access your app analytics, ASO tools, and app market intelligence with Appfigures.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
APPFIGURES_API_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.appfigures.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"appfigures": {
"command": "npx",
"args": [
"-y",
"@appfigures/cli",
"mcp"
],
"env": {
"APPFIGURES_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http appfigures https://mcp.appfigures.com/mcpclaude mcp add appfigures --env APPFIGURES_API_KEY=your-value -- npx -y @appfigures/cli mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"appfigures": {
"url": "https://mcp.appfigures.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"appfigures": {
"command": "npx",
"args": [
"-y",
"@appfigures/cli",
"mcp"
],
"env": {
"APPFIGURES_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"appfigures": {
"type": "http",
"url": "https://mcp.appfigures.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"appfigures": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@appfigures/cli",
"mcp"
],
"env": {
"APPFIGURES_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.appfigures.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 appfigures.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: APPFIGURES_API_KEY
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(4.0.0)은 28일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요