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Google AI Search MCP

Google AI search and documentation tools for MCP clients using Vertex AI or the Gemini API.

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★ 6 stars Last pushed 2026-09-07 License: MIT

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Review any command before running it. Package names and URLs come from the server's own registry entry.

Package (npm 1.1.1)

npx -y [email protected]

Or add to your MCP client config:

{
  "mcpServers": {
    "google-ai-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "AI_PROVIDER": "<YOUR_VALUE>",
        "GOOGLE_CLOUD_PROJECT": "<YOUR_VALUE>",
        "GOOGLE_CLOUD_LOCATION": "<YOUR_VALUE>",
        "GEMINI_API_KEY": "<YOUR_VALUE>"
      }
    }
  }
}

AI_PROVIDER — Select vertex or gemini. Defaults to vertex.
GOOGLE_CLOUD_PROJECT — Google Cloud project ID. Required when AI_PROVIDER is vertex.
GOOGLE_CLOUD_LOCATION — Vertex AI location. Defaults to us-central1.
GEMINI_API_KEY secret — Gemini API key. Required when AI_PROVIDER is gemini.