youtube-mcp-tools

youtube-mcp-tools

Evidence-first YouTube research server enabling search, transcript citation, video analysis, flashcards, and collateral generation for MCP hosts and VS Code.

Category
Visit Server

README

YouTube MCP Tools

Evidence-first YouTube research for modern MCP hosts and VS Code.

The project consolidates the supported YouTube MCP and extension workflows:

  • search YouTube and inspect videos, channels, and playlists;
  • retrieve, search, and cite caption transcripts;
  • analyze video content and create flashcards;
  • research a topic into a transparent, curated video collection;
  • turn selected, transcript-backed videos into host-grounded or direct-provider collateral;
  • render accessible static HTML resource pages.

Evidence-first collateral

The research workflow does not treat popularity or a hidden score as proof of quality. Each selected video carries explicit evidence for topic relevance, requested coverage, transcript availability, source identity, practical duration, and optional recency. The output includes selections, exclusions, and a verification date.

Collateral supports two intentional modes:

  1. Host-managed generation returns a source-constrained prompt for Copilot, Claude, or another MCP host to write original articles, summaries, or study guides.
  2. Direct-provider generation calls an explicitly configured provider through a small adapter interface. No provider credential or network integration is embedded in the core.

Both modes require timestamp citations to selected source videos and instruct the writer to paraphrase rather than reproduce transcript language.

Reference integration

defensibleDecisionDashboardBrief defines the first editorial profile: a decision-ready Power BI dashboard guide for The Defensible Decision. It will produce a curated video page and a companion study guide for the book's /resources/ section.

The reader-facing guide is published at Power BI Video Guide: From First Report to Defensible Decision. It pairs selected Power BI tutorials with the book's question-first sequence for building and reviewing a report.

VS Code extension

The maintained Marketplace extension source is in apps/vscode-extension. It retains the published fabioc-aloha.youtube-mcp-tools extension identifier and its existing search, analysis, transcript, flashcard, quota, and Activity Bar workflows. Its bundled MCP executable is built from this canonical server, so extension updates carry the same modern host integration as the npm distribution.

Development

npm install
npm test

Install in MCP hosts

Local build

The 2.0 source release is available now. Install dependencies and build it:

npm install
npm run build

Then add this server entry to an MCP host:

{
  "servers": {
    "youtube": {
      "type": "stdio",
      "command": "node",
      "args": ["C:\\absolute\\path\\to\\youtube-mcp-tools\\dist\\mcp-server\\index.js"]
    }
  }
}

This is compatible with VS Code's workspace .vscode/mcp.json and user configuration. Transcript tools work with no configuration. To use search, metadata, analysis, flashcards, or live topic research, add YOUTUBE_API_KEY through your host's secret or environment-variable facility; never commit a key.

npm package

The npm publication of youtube-mcp-tools@2.0.1 is pending. After it is published, replace the local node command above with:

{
  "type": "stdio",
  "command": "npx",
  "args": ["-y", "youtube-mcp-tools@2.0.1"]
}

Get a YouTube Data API key

Transcript retrieval and transcript search do not require a Google API key. You need a key for YouTube search, video metadata, analysis, flashcards, and live topic research.

  1. In Google Cloud Console, create or select a project.
  2. Open APIs & ServicesLibrary, search for YouTube Data API v3, and enable it for that project.
  3. Open APIs & ServicesCredentialsCreate credentialsAPI key.
  4. Restrict the key's API restrictions to YouTube Data API v3. If the server runs from a stable egress address, also use an IP-address application restriction. Do not use a browser-referrer restriction for this local stdio server.
  5. Store the key only in your MCP host's secret or environment-variable facility. For local development, copy .env.example to .env; .env is ignored by Git. The server loads it only when YOUTUBE_API_KEY is not already defined in the environment.

Never paste a key into an issue, source file, committed configuration, or a prompt. If a key is exposed, delete or rotate it in Google Cloud Console.

For Claude Code, add the local build with:

claude mcp add youtube --scope project --env YOUTUBE_API_KEY=your_key -- node dist/mcp-server/index.js

The server also exposes the youtube_research_to_collateral MCP prompt for hosts that support prompts.

GitHub Copilot CLI through Alex ACT Plugin Mall

After the npm package is published, GitHub Copilot CLI users can install the optional Mall plugin:

copilot plugin marketplace add fabioc-aloha/Alex_Skill_Mall
copilot plugin install youtube-research@alex-mall

The plugin declares the same youtube stdio server and uses the exact npm release. This is a Copilot-specific convenience route; Claude, Cursor, VS Code, and other MCP hosts should use the standard installation above.

Marketplace readiness

server.json is the official MCP Registry manifest. After publishing the npm package, publish this manifest with the official MCP Registry publisher. The package contains the matching mcpName ownership marker required by the registry.

The manual GitHub Actions workflow at .github/workflows/publish-release.yml publishes a pushed v<version> tag in order: npm package, then MCP Registry manifest. Configure either npm trusted publishing or an NPM_TOKEN repository secret; the MCP Registry step uses GitHub OIDC and needs no dedicated secret. Publish the VS Code companion VSIX separately through the Visual Studio Marketplace publisher portal.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured