rajanrengasamy/vidlens-mcp
VidLens MCP — The YouTube intelligence layer for AI agents. 41 tools, zero config, three-tier fallback, semantic + visual search.
Platform-specific configuration:
{
"mcpServers": {
"vidlens-mcp": {
"command": "npx",
"args": [
"-y",
"vidlens-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
<p align="center"> </p>
<p align="center"> <a href="https://www.npmjs.com/package/vidlens-mcp"></a> <a href="https://github.com/rajanrengasamy/vidlens-mcp/blob/main/LICENSE"></a> <a href="https://modelcontextprotocol.io/"></a> </p>
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VidLens is a Model Context Protocol server that gives AI agents deep, reliable access to YouTube. Not just transcripts - full intelligence: sentiment analysis, trend discovery, semantic search, media assets, creator analytics, and image-backed visual search.
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.
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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.
> *"Find every mention of gradient descent across 50 Stanford CS lectures"* > > *"What did the instructor say about backpropagation in any of these videos?"*
Extract keyframes, describe them with Gemini Vision, run OCR on slides and whiteboards, and search by what you see — not just what's said. Three layers
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