MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Vruum AI revenue platform — outbound, deals, pipeline & CRM automation over one MCP.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"vruum": {
"command": "npx",
"args": [
"-y",
"@vruum/mcp"
]
}
}
}Run this in your terminal
claude mcp add --transport http vruum https://api.vruum.ai/mcp --header 'Authorization: your-value'claude mcp add vruum -- npx -y @vruum/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"vruum": {
"url": "https://api.vruum.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"vruum": {
"command": "npx",
"args": [
"-y",
"@vruum/mcp"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"vruum": {
"type": "http",
"url": "https://api.vruum.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"vruum": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@vruum/mcp"
]
}
}
}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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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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 7, 2026
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We have not read this repo from GitHub yet
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Responded in 1240 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.15.1) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
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.
@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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