mcpField
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vidlens-mcp

Local
github.com/rajanrengasamySocial Media
Repository

About vidlens-mcp

YouTube intelligence layer for AI agents. 41 tools, 10 modules, zero config

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "rajanrengasamy-vidlens": {
      "command": "npx",
      "args": [
        "-y",
        "vidlens-mcp"
      ],
      "env": {
        "YOUTUBE_API_KEY": "<YOUTUBE_API_KEY>",
        "GEMINI_API_KEY": "<GEMINI_API_KEY>"
      }
    }
  }
}
Run commandnpx -y vidlens-mcp
Environment variables to set
YOUTUBE_API_KEYSecretYouTube Data API v3 key (optional — works without it via fallback scraping)
GEMINI_API_KEYSecretGoogle Gemini API key for AI-powered visual descriptions (optional)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmvidlens-mcp1.2.6

Tools

41

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
orderenumNorelevance | date | viewCount | rating
querystringYesSearch query
dryRunbooleanNo
durationenumNoany | short | medium | long
channelIdstringNo
maxResultsnumberNo
regionCodestringNo
publishedAfterstringNo
publishedBeforestringNo

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.