Google AI Search

Claude Code

1. Run this in a terminal, in your project folder:

claude mcp add --transport stdio google-ai-search --env "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" -- npx -y google-ai-search-mcp

1. Start Claude Code and type /mcp. google-ai-search should show as connected.

Add --scope user to make it available in every project. Replace the placeholders with your own values.

Claude Desktop

1. Open Settings → Developer → Edit Config. It opens claude_desktop_config.json. Add:

{
  "mcpServers": {
    "google-ai-search": {
      "command": "npx",
      "args": [
        "-y",
        "google-ai-search-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
      }
    }
  }
}

1. Save the file and restart Claude Desktop. Replace the placeholders with your own values.

Needs Node.js on your computer. The file lives in ~/Library/Application Support/Claude/ on macOS and %APPDATA%\Claude\ on Windows.

Cursor

Añadir a Cursor (se abre en una pestaña nueva)

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

{
  "mcpServers": {
    "google-ai-search": {
      "command": "npx",
      "args": [
        "-y",
        "google-ai-search-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
      }
    }
  }
}

Needs Node.js on your computer. Replace the placeholders with your own values.

VS Code

Add it to .vscode/mcp.json. VS Code asks for the secret the first time and stores it securely:

{
  "servers": {
    "google-ai-search": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "google-ai-search-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "${input:gemini-api-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "gemini-api-key",
      "description": "GEMINI_API_KEY",
      "password": true
    }
  ]
}

Needs Node.js on your computer.

Devin Desktop

1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):

{
  "mcpServers": {
    "google-ai-search": {
      "command": "npx",
      "args": [
        "-y",
        "google-ai-search-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
      }
    }
  }
}

1. Refresh the MCP server list in Cascade. Replace the placeholders with your own values.

Devin Desktop is the new name for Windsurf.

Codex

codex mcp add google-ai-search --env "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" -- npx -y google-ai-search-mcp

Or edit ~/.codex/config.toml directly:

[mcp_servers.google-ai-search]
command = "npx"
args = ["-y", "google-ai-search-mcp"]
env = { GEMINI_API_KEY = "<YOUR_GEMINI_API_KEY>" }

Needs Node.js on your computer. Replace the placeholders with your own values.

Gemini CLI

gemini mcp add -e "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" google-ai-search npx -- -y google-ai-search-mcp

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients that start local servers accept this shape:

{
  "mcpServers": {
    "google-ai-search": {
      "command": "npx",
      "args": [
        "-y",
        "google-ai-search-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
      }
    }
  }
}

Zed puts servers under context_servers in its settings, with the same command, args and env fields.

Needs Node.js on your computer. Replace the placeholders with your own values.

Insignia para README

[![Google AI Search on mcp.tc](https://mcp.tc/i/google-ai-search/badge.svg)](https://mcp.tc/i/google-ai-search)

<a href="https://mcp.tc/i/google-ai-search"><img src="https://mcp.tc/i/google-ai-search/badge.svg" alt="Google AI Search on mcp.tc" height="20"></a>

Sigue el modo claro u oscuro de quien lee. Añade ?theme=light o ?theme=dark para fijarlo, o ?style=compact para mostrar el símbolo sin la palabra.

Tarjeta para web

<script src="https://mcp.tc/w/google-ai-search.js" async></script>

La tarjeta aparece donde esté la etiqueta. Añade data-theme="dark" o data-size="compact" a la etiqueta para cambiarla. El archivo contiene todo lo que necesita, así que no hace otras solicitudes ni instala cookies.

iframe

<iframe src="https://mcp.tc/embed/google-ai-search" title="Google AI Search on mcp.tc" width="420" height="200" loading="lazy" allow="clipboard-write" style="border:0;border-radius:8px;max-width:100%"></iframe>

Úsalo en páginas que no permiten scripts. Añade ?theme=light o ?theme=dark a la dirección para fijar los colores.

JSON

La ficha como datos para tus propias páginas y herramientas: nombre, descripción corta, comando de instalación, herramientas y los enlaces «Add to». Cualquier web puede leerla (CORS abierto).

https://mcp.tc/i/google-ai-search.json

Qué significa cada campo