How to install yutu in Cursor

CLI, MCP server, and AI agent to automate YouTube workflows

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We found yutu in the official MCP registry. Our automated check passed on Nov 1, 2026 (it confirms the server is published and reachable), but no one at CuratedMCP has reviewed its code, permissions or credentials handling. Check what it can access before you give it keys. Scan your machine free to see every MCP server you have installed.

Steps

1Install Node.js 18 or newer (for npx)
2Open .cursor/mcp.json in your project (or ~/.cursor/mcp.json for all projects)
3Add the entry below. If the file already has "mcpServers", add just the inner entry
4Check Cursor Settings → MCP and enable the server

Configuration

.cursor/mcp.json

{
  "mcpServers": {
    "yutu": {
      "command": "npx",
      "args": [
        "-y",
        "@eat-pray-ai/yutu"
      ],
      "env": {
        "YUTU_CREDENTIAL": "<your-yutu-credential>",
        "YUTU_CACHE_TOKEN": "<your-yutu-cache-token>"
      }
    }
  }
}

Replace the values in angle brackets. Optional settings are listed below.

Environment variable	Required	What it is
YUTU_CREDENTIALsecret	Yes	GCP project credential for yutu, Base64 encoded JSON or path to JSON file
YUTU_CACHE_TOKENsecret	Yes	YouTube authentication token, Base64 encoded JSON or path to JSON file
YUTU_LOG_LEVEL	No	Log level

Install in other clients

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About yutu: repo, license and check results →

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