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Knowledge & Memory (RAG) #JavaScript#远端可用#MIT

Gemini Search MCP

Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y @kidapu/gemini-search-mcp

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "gemini-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@kidapu/gemini-search-mcp"
      ],
      "env": {
        "GEMINI_MODEL": "<GEMINI_MODEL>",
        "GEMINI_API_KEY": "<GEMINI_API_KEY>",
        "GEMINI_WEB_SEARCH": "<GEMINI_WEB_SEARCH>",
        "GEMINI_THINKING_BUDGET": "<GEMINI_THINKING_BUDGET>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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