YouTube as a queryable database for AI agents. 41 tools, zero config.
{
"mcpServers": {
"vidlens-mcp": {
"args": [
"-y",
"vidlens-mcp",
"serve"
],
"command": "npx"
}
}
}Are you the author?
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YouTube as a queryable database for AI agents. 41 tools, zero config.
Is it safe?
No known CVEs for vidlens-mcp.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 3 days ago. 3 stars. 367 weekly downloads.
Will it work with my client?
Transport: stdio, sse, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'vidlens-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Most tools can read what was said in a video. VidLens can see what was shown.
Stop watching 10 videos to answer one question. VidLens searches YouTube, reads the transcripts, and synthesizes what creators actually said — across multiple videos, with timestamps, benchmark charts, and sources.
VidLens is a Model Context Protocol server that gives AI agents deep, reliable access to YouTube. Not just transcripts — full intelligence: search, analysis, visual search, and auto-generated comparison charts.
No API key required to start. Every tool has a three-tier fallback chain (YouTube API → yt-dlp → page extraction) so nothing breaks when quota runs out or keys aren't configured.
"I'm thinking about buying the M5 Max MacBook Pro. Search YouTube for top tech reviewers and tell me what they're saying. Is it worth the upgrade from M3/M4?"
VidLens finds 10+ reviews, reads the transcripts, extracts benchmark scores, and presents comparison charts — all from one prompt.
"I want to understand how AI agents work. Search YouTube for the best videos for a beginner and summarize what I need to know."
Discovers videos across creators, ranks by learning value, and prepares transcripts for follow-up questions.
"Search YouTube for reviews comparing the iPhone 17 Pro vs Samsung S26 Ultra. What do reviewers agree on? Where do they disagree?"
Searches, reads transcripts from multiple reviewers, and synthesizes consensus vs disagreements with sources.
Ask a question about YouTube and VidLens does the rest: searches, ranks by creator match and freshness, reads transcripts, extracts benchmark data, and presents comparison charts automatically. Works for product research, learning, competitive analysis — anything on YouTube.
Import entire playlists or video sets, index every transcript with Gemini embeddings, and search across hundreds of hours of content by meaning — not just keywords.
Extract keyframes, describe them with Gemini Vision, run OCR on slides and whiteboards, and search by what you see — not just what's said.