MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Vruum AI revenue platform — outbound, deals, pipeline & CRM automation over one MCP.
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.
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": {
"vruum": {
"command": "npx",
"args": [
"-y",
"@vruum/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http vruum https://api.vruum.ai/mcp --header 'Authorization: your-value'claude mcp add vruum -- npx -y @vruum/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"vruum": {
"url": "https://api.vruum.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"vruum": {
"command": "npx",
"args": [
"-y",
"@vruum/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"vruum": {
"type": "http",
"url": "https://api.vruum.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"vruum": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@vruum/mcp"
]
}
}
}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 필수 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 7일 점검
레지스트리 이름이 도메인 vruum.ai 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: Authorization
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.14.0)은 29일 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.
@vruum/mcp)Official MCP access to Vruum, the AI revenue platform. Give your agent the whole revenue motion — research prospects, build pipeline, run email and LinkedIn outreach, triage replies, manage deals through close, and read Stripe-backed revenue truth — through 35 compound tools rather than a sprawl of endpoints. Outreach runs inside objectives: a goal, the people it targets, and the policy for reaching them.
This package is a stdio bridge: it serves the tool surface locally (no credentials needed to introspect) and proxies execution to https://api.vruum.ai/mcp under your token. Every call is authorized server-side — the bridge grants no authority your Vruum account doesn't already have.
[!TIP]
Using a client that supports remote MCP? Connect directly instead.
Claude Code, Claude Desktop, Cursor, Codex and friends should point straight at
https://api.vruum.ai/mcp(OAuth 2.1). Fewer moving parts and no token in an env var. This bridge exists for stdio-only clients and for credential-free tool introspection. See vruum.ai/docs/mcp.
You need Node 20+ and a Vruum account. Create a personal access token in the web app under Settings → API tokens (vk_live_…).
Claude Desktop / Claude Code — claude_desktop_config.json or .mcp.json
{
"mcpServers": { "vruum": { "command": "npx", "args": ["-y", "@vruum/mcp"], "env": { "VRUUM_MCP_TOKEN": "vk_live_…" } } } }
</details>
Cursor — ~/.cursor/mcp.json
{
"mcpServers": { "vruum": { "command": "npx", "args": ["-y", "@vruum/mcp"], "env": { "VRUUM_MCP_TOKEN": "vk_live_…" } } } }
</details>
Codex CLI — ~/.codex/config.toml
[mcp_servers.vruum]
command = "npx" args = ["-y", "@vruum/mcp"] env = { VRUUM_MCP_TOKEN = "vk_live_…" }
</details>
Already use the Vruum CLI? — no token needed here
npx @vruum/cli login --token vk_live_…
The CLI needs Node 22+. Credentials land in ~/.vruum/credentials and the bridge picks them up automatically — omit the env block entirely.
Verify it works without configuring anything:
npx -y @modelcontextprotocol/inspector --cli npx -y @vruum/mcp --method tools/list
The bridge records content-free operational metadata: generated attempt IDs, the declared client family (Claude/Codex/ChatGPT/unknown), known tool name, start/outcome, timestamp and duration. It never records tool arguments, results, credentials, raw error text or conversations. The private outbox is under ~/.vruum/mcp-diagnostics/ (or VRUUM_CONFIG_DIR), separated by endpoint.
Records survive bridge restarts and upload to that same endpoint's authenticated /diagnostics route after connectivity returns. Only a durable acknowledgement removes them. A restored connection drains the backlog in bounded batches. Transient failures retry once per minute while the bridge is alive; authentication or unsupported-endpoint responses wait for subsequent activity/startup. Uploads never follow redirects or transmit credentials over non-local HTTP. The queue retains at most 500 records per endpoint and reports overflow; disk failures print a coverage warning on stderr. Stdout remains MCP JSON-RPC.
Missing-token, connection, protocol, cancellation, invalid-cursor and call failures are observable when the bridge runs. An offline machine cannot deliver reports until it reconnects, and an old installed package has none of these diagnostics. A bridge success means it received the remote result, not that the host used it correctly. Business calls are never automatically replayed after an ambiguous failure. Server and bridge evidence correlate by attempt ID.
Once connected, these are ordinary requests to your agent:
| You say | What happens |
|---|---|
| *"What should I work on today?"* | get_daily_briefing — pending approvals, new replies, stalled deals, warm paths, one recommended next action |
| *"Review my outreach drafts"* | get_outreach_review → you approve, edit, or reject each one |
| *"Research Acme Corp and tell me if they fit"* | research — website, funding, careers signals, ICP match with reasoning |
| *"Find a warm intro to this person"* | find_warm_path — separates verified paths from unverified connector candidates |
| *"Which objectives are actually working?"* | get_objective_outcomes — contacted, replied, and meetings booked, compared across objectives |
| *"What's at risk in my pipeline?"* | inspect_pipeline — the 5 most at-risk deals, risk-first |
| *"Draft a LinkedIn post about X"* | manage_content — your agent writes it, you approve, Vruum schedules and publishes |
Your harness authors outreach copy, replies, LinkedIn posts, and comments through their review surfaces. It can also chat with Vruum through manage_assistant (start_conversation, append_message): the same chat as the app's floating panel, which reads your records and applies reversible record changes with Undo. The chat does not draft or send messages.
35 compound tools. Read operations inspect saved data; write operations mutate it. Some writes buy provider work or produce external effects. Each tool describes its own authorization and retry contract.
| Area | Tools |
|---|---|
| Daily operating | get_daily_briefing · get_next_actions · inspect_pipeline |
| Search & research | search · fetch · research · research_lookup · import_prospects · find_warm_path |
| People | get_person_360 · manage_person |
| Relationship identity | get_network_identity_review · manage_network_identity_resolution |
| Objectives & outreach | inspect_objective · get_outreach_review · manage_messages · manage_outreach · manage_relationship_action |
| Engagement & content | get_engagement_review · manage_engagements · get_content_review · manage_content |
| Performance | get_objective_outcomes · get_performance_metrics |
| Deals | get_deal_360 · manage_deal |
| Revenue | get_revenue · manage_revenue |
| Accounts & knowledge | manage_account · manage_kb |
| Imports & assistant | manage_history_import · manage_assistant |
| Workspaces, config & skills | get_operator_companies · manage_settings · skill |
manage_outreach also creates, configures, launches, and pauses objectives; inspect_objective reads an objective's setup, audience, forecast, and sourcing plan. No tool mixes reads with writes: research_lookup holds the external lookups (work email, LinkedIn profile, company website, careers page, LinkedIn people search), which can spend provider credits or LinkedIn budget. get_operator_companies lists the workspaces your login can act in; it is not limited to Vruum staff.
Full schemas, descriptions and MCP safety annotations live in tools.json — generated from the live server definition, never hand-edited.
The current package also carries the retained-email decision instructions in manage_messages. A saved email uses its displayed Action version, proposal revision, and fingerprint. Approval is not a delivery receipt; changed content requires new work.
Chat with Vruum through manage_assistant. start_conversation takes payload={request_id, message, context?} and waits up to 50 seconds for the answer; append_message takes id= and the same payload. The result names the chat, the turn's state, the question, the answer, changes (each record change the chat applied, with its Undo state) and cards. A turn still running after 50 seconds returns running; read the chat later with inspect_assistant action=read id= . Actions Undo cannot reverse, and actions that reach a customer or spend, come back as a card with the exact call, and the turn returns awaiting_approval. manage_assistant action=decide_card id= payload={decision: approved|declined} decides one, only with the user's own answer: approved runs that exact call once under your credentials, declined never runs it; it waits up to 50 seconds for the turn. manage_assistant action=undo id= runs a change's exact inverse and is refused when the record was edited since; action=rate id= rates an answer. Keep the same request_id on a retry after an uncertain response: the server runs each request once.
| Env var | Meaning | Default |
|---|---|---|
VRUUM_MCP_TOKEN | Vruum personal access token | falls back to VRUUM_TOKEN, then ~/.vruum/credentials |
VRUUM_MCP_URL | Hosted MCP endpoint | https://api.vruum.ai/mcp |
VRUUM_MCP_TIMEOUT_MS | Per-call timeout — research and imports run long | 300000 |
VRUUM_CONFIG_DIR | Credentials directory | ~/.vruum |
your agent ──stdio/JSON-RPC──▶ @vruum/mcp
│ tools/list ──────┤ served locally from tools.json │ (no network, no credentials) │ tools/call ──────┴──HTTPS+Bearer──▶ api.vruum.ai/mcp (authorized server-side)
Listings are a static snapshot bundled at release. That's what makes credential-free introspection possible, and it means a newly added tool won't *appear* until the next release — calls still execute correctly, since they proxy through. In the monorepo, a snapshot test fails any change that lets tools.json drift from the server definition, so a release never ships a stale listing.
tools/call is never replayed. Many of these tools send outreach or spend money, and an ambiguous failure may mean the server already executed — a silent retry could double-send. The connection is discarded, the error says so, and your agent decides whether re-running is safe.Bearer header to api.vruum.ai.[!WARNING]
The bridge picks up ambient credentials. With no
VRUUM_MCP_TOKENset it falls back to~/.vruum/credentials. If you are logged in with the Vruum CLI, then running this server — via the MCP Inspector, a client, or a script — executes against your real account and real data. Write tools will really write.
To poke at it with no credentials, pass an explicit env that reaches the process:
`sh
env -i PATH="$PATH" HOME=/tmp/empty node dist/index.js
`
Note that MCP clients following the SDK default only forward an allowlist (
HOME,PATH,SHELL,TERM,USER,LOGNAME) to spawned servers — so settingVRUUM_CONFIG_DIRin your shell may be stripped before it reaches the bridge, whileHOMEsurvives and the credentials file is found anyway. Set credentials in the client's ownenvblock instead.
This repo is a build artifact of the Vruum monorepo, resynced automatically on release. tools.json is generated from the server definition, and a snapshot test in the monorepo fails when the two differ. Between releases, the hosted server can be ahead of this s
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