io.github.rajanrengasamy/vidlens-mcp
Quality Score
84
/100
YouTube intelligence layer for AI agents. 41 tools, 10 modules, zero config.
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"vidlens-mcp": {
"command": "npx",
"args": [
"-y",
"vidlens-mcp"
],
"env": {
"YOUTUBE_API_KEY": "<your-youtube_api_key>",
"GEMINI_API_KEY": "<your-gemini_api_key>"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"vidlens-mcp": {
"command": "npx",
"args": [
"-y",
"vidlens-mcp"
],
"env": {
"YOUTUBE_API_KEY": "<your-youtube_api_key>",
"GEMINI_API_KEY": "<your-gemini_api_key>"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y vidlens-mcp§02 Environment variables
YOUTUBE_API_KEYsecret
YouTube Data API v3 key (optional — works without it via fallback scraping)
GEMINI_API_KEYsecret
Google Gemini API key for AI-powered visual descriptions (optional)
§03 MCP Quality Score · methodology
freshness
24
completeness
10
installability
25
documentation
15
stability
10
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