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io.github.rajanrengasamy/vidlens-mcp

io.github.rajanrengasamy/vidlens-mcp·v1.2.6·Other
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_KEY
secret

YouTube Data API v3 key (optional — works without it via fallback scraping)

GEMINI_API_KEY
secret

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
§04  Alternatives in Other