MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Agent-first analytics: stats, events, sessions, funnels, ingest, websites & billing.
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.
ANALYGA_KEY, Authorization비밀로 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.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"analyga": {
"command": "npx",
"args": [
"-y",
"analyga"
],
"env": {
"ANALYGA_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport sse analyga https://mcp.analyga.com/sse --header 'Authorization: your-value'claude mcp add analyga --env ANALYGA_KEY=your-value -- npx -y analyga실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"analyga": {
"url": "https://mcp.analyga.com/sse",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"analyga": {
"command": "npx",
"args": [
"-y",
"analyga"
],
"env": {
"ANALYGA_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": {
"analyga": {
"type": "sse",
"url": "https://mcp.analyga.com/sse",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"analyga": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"analyga"
],
"env": {
"ANALYGA_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 HTTP header이 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 GitHub 계정 jyswee 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
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: ANALYGA_KEY, Authorization
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.15)은 44일 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.
Agent-first analytics for MCP + web traffic — query, instrument and configure from a terminal or an MCP client. No browser, no dashboard.
A dashboard for humans. `tga` for your agents.
One analytics surface for both halves of modern traffic: the web visits your site still gets, and the agent/MCP calls that increasingly drive it. Analytics tools assume a human staring at a chart — but increasingly the thing that needs the numbers is an agent: it fired the events, it wants to know whether they landed, and it wants five numbers back, not a dashboard to render. analyga is the surface the agent drives itself: one install, and it queries stats and funnels across web and MCP, sends server-side events, and reads its own schema — all as structured JSON, none of it screen-scraped.
Works with: Claude Code · Cursor · Cline · Windsurf · Aider · Codex · any MCP client
*One agent, one terminal — query to funnel in 60 seconds. Watch the full demo.*
No mockups — every clip is a live tga session against a seeded tenant. Click any GIF for the full-res video.
| Query → funnel | Agent self-signup | Server-side ingest |
|---|---|---|
| One agent, one terminal, 60s | Keyless bootstrap — no admin in the loop | Send events with a stable --id |
| MCP client | The human dashboard |
|---|---|
| 13 native tools in Claude Code / Cursor | Everything the agent captures, in one real-time UI |
npm install -g analyga
The npm package is analyga; the command is tga.
# No account yet? Create a tenant and its first key — no card, no admin in the loop
tga signup --slug acme --name "Acme" --username you --password <8+ chars>
tga login --key # or set ANALYGA_KEY
tga whoami
tga websites
tga stats --from 7d
tga --help
Every command takes --json — the machine surface is a first-class citizen, not an afterthought:
tga stats <websiteId> --from 7d --json
tga agent-schema --json
That returns every command, argument, flag, type, whether it is read-only, and the full list of error codes — generated from the same table that drives the parser, the help text and the MCP tools, so it cannot drift from what the CLI actually does. If it is not in the schema, it does not exist.
Ask the questions an agent actually asks after it ships: did the events land, and did anyone make it through the flow?
# Traffic and top-line stats for a window
tga stats --from 7d tga events --from 24h
tga funnel define --name signup --steps "/,/pricing,/signup" tga funnel list tga funnel run --from 30d
tga network --from 7d
All read-only, all --json-able — an agent branches on the numbers instead of parsing a chart.
--id or your agents collapse into one visitorAnonymous identity is derived from IP and user-agent. Agent traffic shares both — one CLI version means one user-agent, and agents often share an egress IP — so without a stable id every agent behind that IP collapses into a single visitor. It cannot be backfilled.
tga send <websiteId> --name cli_signup --id <stable-user-id> --data '{"source":"cli"}'
# Mint a per-website ingest key first (shown ONCE; regenerating rotates it)
tga ingest-key create
tga send --name cli_signup --id \ --ingest-key --data '{"plan":"pro"}'
tga ingest health --from 24h # did anything actually land?
tga ingest-key revoke # kill server-side ingest for this site
A discarded event still answers HTTP 200. The ingest endpoint returns {"beep":"boop"} when it drops an event as a bot. This CLI treats that as a hard failure with a hint rather than reporting success — so an agent never believes a dropped event succeeded.
Server-side ingest uses a separate per-website key (ANALYGA_INGEST_KEY or --ingest-key), scoped to one website so it can only ever write that site's traffic. Mint one with tga ingest-key create and revoke it with tga ingest-key revoke — the plaintext is shown once and only its hash is stored.
An agent authenticates with its tenant key, names a plan, and gets back a Stripe Checkout URL to pass to a human who completes payment:
tga billing checkout --plan pro
The tenant is pinned server-side from the key. The free plan (and any plan without a configured price) is not purchasable, and internal sister-stack tenants are never billed.
Prefer tools over a CLI? analyga ships an MCP server. Point Claude Code (or any MCP client) at it and your agent gets 13 native tools covering stats, events, funnels, websites, identity, server-side ingest (including minting/revoking ingest keys) and billing checkout.
tga mcp-serve # stdio, for Claude Code / Cursor / Cline / Windsurf
For clients that use a JSON config, pass your key via ANALYGA_KEY. The MCP server runs outside your project directory, so it will not pick up .analyga/config.json:
{
"mcpServers": { "analyga": { "command": "tga", "args": ["mcp-serve"], "env": { "ANALYGA_KEY": "your-key" } } } }
Read-only tools are flagged, so a client will not prompt a human to confirm a read. Every tool declares an outputSchema, so an agent never parses prose or guesses field names — and a tool result and --json output are the same bytes, one client across two surfaces. A session with no key sees only the onboarding surface — how to connect, plus analyga_signup to bootstrap its own tenant — rather than the full toolset.
Failures carry a stable code and a distinct exit code, so an agent can branch on the outcome instead of string-matching a message.
| Exit | Meaning | What to do |
|---|---|---|
| 2 | usage | fix the call, do not retry |
| 3 | auth | fix the credential |
| 4 | permission | do not retry, escalate |
| 5 | not found | check the id |
| 6 | validation | fix the payload |
| 7 | rate limited | back off and retry |
| 8 | network | retry is reasonable |
| 9 | server | retry once, then report |
Exit 1 is reserved for unhandled crashes, so a classified failure is never ambiguous. Where the server can say what to do next, it comes back as a hint on its own line.
Resolved highest-priority first:
--key flagANALYGA_KEY environment variable.analyga/config.json in the current directorytga whoami reports which of these won. On a multi-tenant platform, "which tenant am I about to write to" is the question that matters most. .analyga/ holds a live credential — keep it out of version control.
tga signup creates a tenant and its first API key with no card and no admin in the loop; keyless, so it works before you have a credentialtga whoami shows the pinned tenant and key scope for a tga_ key, or the user and teams for a session login--jsontga send with a scoped per-site key; mint/rotate/revoke keys with tga ingest-key create|revoke; dropped-as-bot events fail loudly instead of faking a 200tga billing checkout --plan returns a Stripe URL to hand to a human--id keeps agents from collapsing into one anonymous visitortga mcp-serve) for Claude Code, Cursor, Cline, Windsurf, any MCP clientcode + distinct exit code per failure class, with actionable hintsAdd to your CLAUDE.md, .cursorrules, .clinerules, .windsurfrules, or AGENTS.md:
## Analyga
This project uses Analyga for analytics. Use the tga CLI. Config is in .analyga/config.json (auto-loaded), or set ANALYGA_KEY. If not configured: tga login --key YOUR_KEY
Run tga agent-schema --json — it returns every command + valid flags + error codes. This is the single source of truth: if it is not in the schema, do not use it. Always pass --id on tga send, or agent traffic collapses into one visitor.
Every analytics tool I reached for assumed a human looking at a chart — but the thing that needed the numbers was the agent that fired the events. So the CLI and the MCP server are the primary interface here, not a wrapper bolted onto a REST API. It's early and iterating fast: if something's rough or missing, open an issue.
For now, tga --help and tga agent-schema --json are the authoritative reference.
Early. Published for dogfooding by the Tyga sister stacks. Interfaces may change; error codes will not be reworded once published, because agents branch on them.
Proprietary — Tyga.Cloud Ltd. See LICENSE.